Response Probability Functions

Factor out logic and math common to Item Factor Analysis fitting, diagnostics, and analysis. It is envisioned as core support code suitable for more specialized IRT packages to build upon. Complete access to optimized C functions are made available with R_RegisterCCallable(). This software is described in Pritikin & Falk (2020) .

Title: rpf

Why use RPF?

The idea behind RPF is modularity. Most item factor analysis software is not modular. Modularity facilitates more contributors and cross pollination between projects.

Installation

To get the current released version from CRAN:

install.packages("rpf")

Developer notes

There are a number of useful scripts in the tools subdir:

• install -- Installs the package as quickly as possible. Skips building the vignettes and documentation.

• build -- Builds a source tarball

• check -- Builds a source tarball and checks it

• rox -- Re-generates the documentation.

• test -- Runs the test suite using the uninstalled tests against the installed package.

• autodep -- Recalculates the header file dependences

If you're working on the C++ code, you probably want to adjust the settings in src/Makevars.