Provides general purpose tools to fit exploratory factor, bi-factor, and bi-factor models with multiple general factors.
Using the devtools package:
devtools::install_github("marcosjnez/bifactor", force = TRUE)
To install the bifactor package in macOS, you need to configure the C++ toolchain so that C++ code can be compiled from R. Try the following installer: https://github.com/rmacoslib/r-macos-rtools/releases/tag/v4.0.0.
If the installer does not succeed, you may follow this tutorial: https://thecoatlessprofessor.com/programming/cpp/r-compiler-tools-for-rcpp-on-macos/.
Briefly, install Xcodefrom App Store. Then, install the package manager Homebrew and GCC by typing the following lines in the Terminal:
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew install gcc
Next, download and install the appropriate gfortran binary from https://github.com/fxcoudert/gfortran-for-macOS/releases.
You also need to enable OpenMP to allow parallelization: https://mac.r-project.org/openmp/. Briely, this involves downloading and installing OpenMP. For this, type the following lines in the terminal:
curl -O https://mac.r-project.org/openmp/openmp-12.0.1-darwin20-Release.tar.gz
sudo tar fvxz openmp-12.0.1-darwin20-Release.tar.gz -C /
Finally, add the following lines to ~/.R/Makevars:
CPPFLAGS += -Xclang -fopenmp
LDFLAGS += -lomp