Package: FMP 1.4

FMP: Filtered Monotonic Polynomial IRT Models

Estimates Filtered Monotonic Polynomial IRT Models as described by Liang and Browne (2015) <doi:10.3102/1076998614556816>.

Authors:Niels G. Waller <[email protected]>

# Install 'FMP' in R:

install.packages('FMP', repos = c('https://nwaller.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 9 years agofrom:7b2d27db80. Checks:3 OK, 5 NOTE. Indexed: yes.

Dependencies:

Help page	Topics
Compute eap trait estimates for FMP and FUP models	eap
Utility fnc to compute the components for an empirical response function	erf
Estimate the coefficients of a filtered monotonic polynomial IRT model	FMP
Utility function for checking FMP monotonicity	FMPMonotonicityCheck
Estimate the coefficients of a filtered unconstrained polynomial IRT model	FUP
Generate item response data for 1, 2, 3, or 4-parameter IRT models	gen4PMData
Generate item response data for a filtered monotonic polynomial IRT model	genFMPData
Plot item response functions for polynomial IRT models.	irf
Plot an ERF using rest scores	restScore
Compute theta surrogates via normalized SVD scores	svdNorm