R Under development (unstable) (2024-05-14 r86553 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 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(skipTrack) > > test_check("skipTrack") ------------------------------------------- SkipTrack Model Output ------------------------------------------- Number of Observations: 62 Number of Individuals: 10 Dimension of Beta: 1 Dimension of Gamma: 1 ------------------------------------------- Number of MCMC Chains: 2 Model: skipTrack ------------------------------------------- ---------------------------------------------------- Summary of skipTrack.fit using skipTrack model ---------------------------------------------------- Mean Coefficients: Estimate 95% CI Lower 95% CI Upper (Intercept) 3.015 2.591 3.446 ---------------------------------------------------- Precision Coefficients: Estimate 95% CI Lower 95% CI Upper (Intercept) 0.566 0.023 1.238 ---------------------------------------------------- Diagnostics: Effective Sample Size Gelman-Rubin Betas 286.54 4.49 Gammas 11.00 1.02 cijs 54.65 18.63 ---------------------------------------------------- skipTrack.model S3 Object (also a list) NChains: 2 Model Type: skipTrack[ FAIL 0 | WARN 0 | SKIP 0 | PASS 19 ] > > proc.time() user system elapsed 3.81 0.29 4.09