immer: Item Response Models for Multiple Ratings

Implements some item response models for multiple ratings, including the hierarchical rater model, conditional maximum likelihood estimation of linear logistic partial credit model and a wrapper function to the commercial FACETS program.

Author
Alexander Robitzsch [aut, cre], Jan Steinfeld [aut]
Date of publication
2016-10-29 00:11:53
Maintainer
Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
License
GPL (>= 2)
Version
0.6-0

View on CRAN

Man pages

data.immer
Some Example Datasets for the 'immer' Package
immer_agree2
Agreement Statistics for 2 Raters
immer_cml
Conditional Maximum Likelihood Estimation for the Linear...
immer_FACETS
Wrapper to FACDOS
immer_HRM
Hierarchical Rater Model (Patz et al., 2002)
immer_install
Support for the installation of the DOS-version from FACETS
immer_opcat
Estimation of Integer Item Discriminations
immer-package
Item Response Models for Multiple Ratings
immer_reshape_wideformat
Creating a Rating Dataset in Wide Format
immer_unique_patterns
Extracts Unique Item Response Patterns
lc2_agreement
A Latent Class Model for Agreement of Two Raters
probs2logits
Conversion of Probabilities into Logits
simulate_HRM
Simulating the Hierarchical Rater Model (Patz et al., 2002)

Files in this package

immer
immer/inst
immer/inst/NEWS
immer/src
immer/src/Makevars
immer/src/Makevars.win
immer/src/subimmer.h
immer/src/HRM_aux_rcpp_functions.cpp
immer/NAMESPACE
immer/data
immer/data/data.immer02.rda
immer/data/data.immer07.rda
immer/data/data.immer04a.rda
immer/data/data.immer08.rda
immer/data/data.immer01b.rda
immer/data/data.immer10.rda
immer/data/data.immer01a.rda
immer/data/data.immer09.rda
immer/data/data.immer03.rda
immer/data/data.immer06.rda
immer/data/data.immer04b.rda
immer/data/data.immer05.rda
immer/R
immer/R/loglik_HRM.R
immer/R/inits_theta_1dim.R
immer/R/probs_hrm.R
immer/R/probs_gpcm.R
immer/R/immer_reshape_wideformat.R
immer/R/immer_fun_FACETS.R
immer/R/immer_install.R
immer/R/lc2_agreement.R
immer/R/sampling_hrm_a.R
immer/R/inits_raterpars_hrm.R
immer/R/probs2logits.R
immer/R/summary.immer_HRM.R
immer/R/immer_ic_calc.R
immer/R/lpcm_inits.R
immer/R/summary.immer_agree2.R
immer/R/immer_agree2.R
immer/R/sampling_hrm_mu_theta_1dim.R
immer/R/sampling_hrm_b.R
immer/R/logLik_immer.R
immer/R/MHprop_hrm.R
immer/R/sampling_hrm_phi.R
immer/R/summary.lc2_agreement.R
immer/R/logLik.lc2_agreement.R
immer/R/immer_identifiers_relabel.R
immer/R/agree_aicken.R
immer/R/rtrnorm.R
immer/R/summary.immer_cml.R
immer/R/sampling_hrm_theta_1dim.R
immer/R/immer_cml.R
immer/R/inits_item_parameters.R
immer/R/sampling_hrm_psi.R
immer/R/sampling_hrm_xi.R
immer/R/immer_mcmc_draw_variance.R
immer/R/immer_FACETS.R
immer/R/prior_hrm.R
immer/R/immer_ic_hrm.R
immer/R/immer_opcat.R
immer/R/MHprop_refresh.R
immer/R/immer_unique_patterns.R
immer/R/immer_collect_traces.R
immer/R/lpcm_data_prep.R
immer/R/IRT.likelihood.immer_HRM.R
immer/R/lpcm_generate_design.R
immer/R/immer_HRM.R
immer/R/anova_immer.R
immer/R/plot.immer_HRM.R
immer/R/zzz.R
immer/R/simulate_hrm.R
immer/MD5
immer/DESCRIPTION
immer/man
immer/man/immer_agree2.Rd
immer/man/probs2logits.Rd
immer/man/immer-package.Rd
immer/man/immer_FACETS.Rd
immer/man/immer_unique_patterns.Rd
immer/man/immer_HRM.Rd
immer/man/immer_reshape_wideformat.Rd
immer/man/immer_opcat.Rd
immer/man/immer_cml.Rd
immer/man/lc2_agreement.Rd
immer/man/immer_install.Rd
immer/man/simulate_HRM.Rd
immer/man/data.immer.Rd