Function reference • immer

All functions

data.immer01a data.immer01b data.immer02 data.immer03 data.immer04a data.immer04b data.immer05 data.immer06 data.immer07 data.immer08 data.immer09 data.immer10 data.immer11 data.immer12: Some Example Datasets for the immer Package

data.ptam1 data.ptam2 data.ptam3 data.ptam4 data.ptam4long data.ptam4wide: Example Datasets for Robitzsch and Steinfeld (2018)

immer-package immer: Item Response Models for Multiple Ratings

immer_agree2() summary(<immer_agree2>): Agreement Statistics for 2 Raters

immer_ccml() summary(<immer_ccml>) coef(<immer_ccml>) vcov(<immer_ccml>): Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters

immer_cml() summary(<immer_cml>) logLik(<immer_cml>) anova(<immer_cml>) coef(<immer_cml>) vcov(<immer_cml>): Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model

immer_FACETS(): Wrapper to FACDOS

immer_hrm() summary(<immer_hrm>) plot(<immer_hrm>) logLik(<immer_hrm>) anova(<immer_hrm>) IRT.likelihood(<immer_hrm>) IRT.posterior(<immer_hrm>): Hierarchical Rater Model (Patz et al., 2002)

immer_hrm_simulate(): Simulating the Hierarchical Rater Model (Patz et al., 2002)

immer_install(): Support for the installation of the DOS-version from FACETS

immer_jml() summary(<immer_jml>) logLik(<immer_jml>) IRT.likelihood(<immer_jml>): Joint Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters and \(\varepsilon\)-Adjustment Bias Correction

immer_latent_regression() summary(<immer_latent_regression>) coef(<immer_latent_regression>) vcov(<immer_latent_regression>) logLik(<immer_latent_regression>) anova(<immer_latent_regression>): Unidimensional Latent Regression

immer_opcat(): Estimation of Integer Item Discriminations

immer_proc_data() immer_create_design_matrix_formula(): Processing Datasets and Creating Design Matrices for Rating Data

immer_reshape_wideformat(): Creating a Rating Dataset in Wide Format

immer_unique_patterns(): Extracts Unique Item Response Patterns

lc2_agreement() summary(<lc2_agreement>) logLik(<lc2_agreement>) anova(<lc2_agreement>): A Latent Class Model for Agreement of Two Raters

probs2logits() logits2probs(): Conversion of Probabilities into Logits