eRm fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM). Missing values are allowed in the data matrix. Additional features are the estimation of the person parameters, LR-Model test, item-spefific Wald test, itemfit and personfit statistics, various ICC plots.

c(person(given="Patrick", family="Mair", email="mair@fas.harvard.edu", role=c("cre","aut")),
person(given="Reinhold", family="Hatzinger", role="aut"),
person(given=c("Marco", "J."), family="Maier", email="marco.maier@wu.ac.at", role="aut"),
person(given="Thomas", family="Rusch", email="thomas.rusch@wu.ac.at", role="ctb"),
person(given="Rudolf", family="Debelak", email="rudolf.debelak@psychologie.uzh.ch", role="ctb"))
Patrick Mair [cre, aut],
Reinhold Hatzinger [aut],
Marco J. Maier [aut],
Thomas Rusch [ctb],
Rudolf Debelak [ctb]

graphics, grDevices, stats, methods, MASS, splines, Matrix,
lattice, colorspace, psych

Ensemble Tool for Predictions from Species Distribution Models
A tool which allows users to create and evaluate ensembles
of species distribution model (SDM) predictions.
Functionality is offered through R functions or a GUI (R Shiny app).
This tool can assist users in identifying spatial uncertainties and
making informed conservation and management decisions. The package is
further described in Woodman et al (in review - contact author for paper).
person("Sam", "Woodman", email = "sam.woodman@noaa.gov", role = c("aut", "cre"))
colorRamps, colourpicker, dichromat, dplyr (>= 0.7-0), DT,
leaflet, lwgeom, methods, purrr, raster, rlang, RColorBrewer,
ROCR, shiny, shinycssloaders, shinydashboard, shinyjs, sf (>=
0.6-3), stats, tmap (>= 2.1), units, viridis
knitr, maps, maptools, mapview, rmarkdown, testthat (>=
2.1.0)

A tool which allows users to create and evaluate ensembles
of species distribution model (SDM) predictions.
Functionality is offered through R functions or a GUI (R Shiny app).
This tool can assist users in identifying spatial uncertainties and
making informed conservation and management decisions. The package is
further described in Woodman et al. (in press - contact author for paper).
colorRamps, colourpicker, dichromat, dplyr (>= 0.7-0), DT,
leaflet, lwgeom, methods, purrr, raster, rlang, RColorBrewer,
ROCR, shiny, shinycssloaders, shinydashboard, shinyjs, sf (>=
0.6-3), stats, tmap (>= 2.1), units, viridis, zip
knitr, leafem, maps, maptools, rmarkdown, testthat (>= 2.1.0)