R version 4.6.0 RC (2026-04-21 r89932 ucrt) -- "Because it was There" Copyright (C) 2026 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > # This file is part of the standard setup for testthat. > # It is recommended that you do not modify it. > # > # Where should you do additional test configuration? > # Learn more about the roles of various files in: > # * https://r-pkgs.org/testing-design.html#sec-tests-files-overview > # * https://testthat.r-lib.org/articles/special-files.html > > library(testthat) > library(factorana) > > test_check("factorana") Test passed with 1 success 😸. Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.0565 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3222 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0568 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0194 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1261 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.2204 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4568 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.0565 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3222 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0568 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0194 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1261 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.2204 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4568 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: identified by fixed loading (variance will be estimated) Factor 2: identified by fixed loading (variance will be estimated) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (T1)... Linear model: 1 covariates, sigma = 1.1543 Estimating component 2 (T2)... Linear model: 1 covariates, sigma = 1.3820 Estimating component 3 (T3)... Linear model: 1 covariates, sigma = 1.0997 Estimating component 4 (T4)... Linear model: 1 covariates, sigma = 1.0092 Estimating component 5 (T5)... Linear model: 1 covariates, sigma = 1.1423 Estimating component 6 (T6)... Linear model: 1 covariates, sigma = 1.1930 Estimating component 7 (Y)... Linear model: 2 covariates, sigma = 1.4108 Initialized 30 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Estimating component 1 (Y_ord)... Scaling thresholds by 1.118 (factor model variance = 1.25 at initialization) Ordered probit: 1 covariates, 3 thresholds (incremental form) Initialized 6 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: identified by fixed loading (variance will be estimated) Estimating component 1 (Y_ord2)... Scaling thresholds by 1.500 (factor model variance = 2.25 at initialization) Ordered probit: 1 covariates, 3 thresholds (incremental form) Initialized 7 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Estimating component 1 (Y1)... Linear model: 1 covariates, sigma = 2.6518 Initialized 4 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: NOT identified (variance fixed to 1.0) Factor 3: identified by fixed loading (variance will be estimated) Estimating component 1 (lin3)... Linear model: 2 covariates, sigma = 0.8840 Initialized 7 parameters total Initializing parameters... Factor identification: Factor 1: NOT identified (variance fixed to 1.0) Factor 2: identified by fixed loading (variance will be estimated) Estimating component 1 (prb2)... Probit model: 2 covariates Initialized 5 parameters total Two-stage SE estimation: Stage 1 (independent) -> Stage 2 (SE_linear) Measurement parameters (loadings, thresholds) will be fixed from Stage 1 Factor distribution parameters will use Stage 2 structure Fixing 16 measurement parameters, ignoring 2 factor distribution parameters [ FAIL 0 | WARN 0 | SKIP 123 | PASS 243 ] ══ Skipped tests (123) ═════════════════════════════════════════════════════════ • On CRAN (121): 'test-adaptive-quadrature-hjv.R:10:3', 'test-adaptive-quadrature.R:6:3', 'test-adaptive-quadrature.R:299:3', 'test-correlated-factors.R:70:3', 'test-correlated-factors.R:178:3', 'test-correlated-factors.R:299:3', 'test-dynamic-single-factor.R:67:3', 'test-dynamic-single-factor.R:122:3', 'test-dynamic-single-factor.R:257:3', 'test-dynamic-single-factor.R:516:3', 'test-dynamic-single-factor.R:599:3', 'test-dynamic-single-factor.R:662:3', 'test-dynamic-single-factor.R:733:3', 'test-equality-constraints.R:49:3', 'test-equality-constraints.R:95:3', 'test-equality-constraints.R:131:3', 'test-exploded-nested-logit.R:4:3', 'test-exploded-nested-logit.R:125:3', 'test-exploded-nested-logit.R:211:3', 'test-exploded-nested-logit.R:330:3', 'test-exploded-nested-logit.R:430:3', 'test-factorscores.R:6:3', 'test-factorscores.R:123:3', 'test-factorscores.R:219:3', 'test-factorscores.R:350:3', 'test-factorscores.R:454:3', 'test-fixed-coefficients.R:2:3', 'test-fixed-coefficients.R:42:3', 'test-fixed-coefficients.R:100:3', 'test-fixed-coefficients.R:155:3', 'test-fixed-coefficients.R:209:3', 'test-fixed-coefficients.R:273:3', 'test-hessian-fixed-params.R:8:3', 'test-interaction-factors.R:21:3', 'test-interaction-factors.R:64:3', 'test-interaction-factors.R:106:3', 'test-interaction-factors.R:147:3', 'test-interaction-factors.R:183:3', 'test-interaction-factors.R:220:3', 'test-interaction-factors.R:274:3', 'test-interaction-factors.R:317:3', 'test-interaction-factors.R:361:3', 'test-interaction-factors.R:405:3', 'test-interaction-factors.R:453:3', 'test-interaction-factors.R:501:3', 'test-interaction-factors.R:556:3', 'test-interaction-factors.R:610:3', 'test-interaction-factors.R:660:3', 'test-interaction-factors.R:704:3', 'test-interaction-factors.R:812:3', 'test-interaction-factors.R:900:3', 'test-interaction-factors.R:1008:3', 'test-interaction-factors.R:1142:3', 'test-mixture.R:114:3', 'test-mixture.R:169:3', 'test-mixture.R:244:3', 'test-mixture.R:328:3', 'test-mixture.R:427:3', 'test-observation-weights.R:37:3', 'test-observation-weights.R:80:3', 'test-observation-weights.R:110:3', 'test-parallelization.R:15:3', 'test-parameter-constraints.R:2:3', 'test-parameter-constraints.R:62:3', 'test-quadratic-factors.R:19:3', 'test-quadratic-factors.R:67:3', 'test-quadratic-factors.R:108:3', 'test-quadratic-factors.R:166:3', 'test-quadratic-factors.R:216:3', 'test-quadratic-factors.R:266:3', 'test-quadratic-factors.R:321:3', 'test-quadratic-factors.R:389:3', 'test-quadratic-factors.R:439:3', 'test-quadratic-factors.R:494:3', 'test-quadratic-factors.R:562:3', 'test-quadratic-factors.R:647:3', 'test-quadratic-factors.R:724:3', 'test-quadrature.R:2:3', 'test-quadrature.R:69:3', 'test-se-models.R:4:3', 'test-se-models.R:52:3', 'test-se-models.R:97:3', 'test-se-models.R:141:3', 'test-se-models.R:184:3', 'test-se-models.R:344:3', 'test-se-models.R:367:3', 'test-se-models.R:393:3', 'test-se-models.R:415:3', 'test-se-models.R:437:3', 'test-se-models.R:466:3', 'test-se-models.R:497:3', 'test-se-models.R:527:3', 'test-se-models.R:616:3', 'test-se-models.R:687:3', 'test-systematic-suite.R:22:3', 'test-systematic-suite.R:111:3', 'test-systematic-suite.R:208:3', 'test-systematic-suite.R:323:3', 'test-systematic-suite.R:441:3', 'test-systematic-suite.R:587:3', 'test-systematic-suite.R:702:3', 'test-systematic-suite.R:858:3', 'test-systematic-suite.R:1167:3', 'test-systematic-suite.R:1323:3', 'test-systematic-suite.R:1531:3', 'test-systematic-suite.R:1807:3', 'test-test-05-multifactor.R:66:3', 'test-test-05-multifactor.R:310:3', 'test-test-05-multifactor.R:501:3', 'test-test-05-multifactor.R:667:3', 'test-two-stage-se-types.R:190:3', 'test-two-stage-se-types.R:338:3', 'test-two-stage-se-types.R:462:3', 'test-two-stage.R:8:3', 'test-types.R:78:3', 'test-types.R:133:3', 'test-types.R:212:3', 'test-types.R:284:3', 'test-use-types.R:145:3', 'test-use-types.R:195:3', 'test-use-types.R:273:3' • Skipping 3-factor estimation test (run with NOT_CRAN=true) (1): 'test-interaction-factors.R:1495:3' • Skipping parameter recovery test (set NOT_CRAN=true to run) (1): 'test-fix-type-intercepts.R:387:3' [ FAIL 0 | WARN 0 | SKIP 123 | PASS 243 ] > > proc.time() user system elapsed 37.32 1.31 38.70