R Under development (unstable) (2024-09-10 r87115 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. > library(testthat) > library(esci) > > test_check("esci") Loading required package: Matrix Loading required package: metadat Loading required package: numDeriv Loading the 'metafor' package (version 4.6-0). For an introduction to the package please type: help(metafor) Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. Scale for x is already present. Adding another scale for x, which will replace the existing scale. Scale for y is already present. Adding another scale for y, which will replace the existing scale. [ FAIL 0 | WARN 0 | SKIP 0 | PASS 3248 ] > > proc.time() user system elapsed 46.43 3.68 50.14