Item Response Models for Multiple Ratings


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Documentation for package ‘immer’ version 1.5-13

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immer-package Item Response Models for Multiple Ratings
anova.immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
anova.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
anova.immer_latent_regression Unidimensional Latent Regression
anova.lc2_agreement A Latent Class Model for Agreement of Two Raters
coef.immer_ccml Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters
coef.immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
coef.immer_latent_regression Unidimensional Latent Regression
data.immer01a Some Example Datasets for the 'immer' Package
data.immer01b Some Example Datasets for the 'immer' Package
data.immer02 Some Example Datasets for the 'immer' Package
data.immer03 Some Example Datasets for the 'immer' Package
data.immer04a Some Example Datasets for the 'immer' Package
data.immer04b Some Example Datasets for the 'immer' Package
data.immer05 Some Example Datasets for the 'immer' Package
data.immer06 Some Example Datasets for the 'immer' Package
data.immer07 Some Example Datasets for the 'immer' Package
data.immer08 Some Example Datasets for the 'immer' Package
data.immer09 Some Example Datasets for the 'immer' Package
data.immer10 Some Example Datasets for the 'immer' Package
data.immer11 Some Example Datasets for the 'immer' Package
data.immer12 Some Example Datasets for the 'immer' Package
data.ptam1 Example Datasets for Robitzsch and Steinfeld (2018)
data.ptam2 Example Datasets for Robitzsch and Steinfeld (2018)
data.ptam3 Example Datasets for Robitzsch and Steinfeld (2018)
data.ptam4 Example Datasets for Robitzsch and Steinfeld (2018)
data.ptam4long Example Datasets for Robitzsch and Steinfeld (2018)
data.ptam4wide Example Datasets for Robitzsch and Steinfeld (2018)
immer Item Response Models for Multiple Ratings
immer_agree2 Agreement Statistics for 2 Raters
immer_ccml Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters
immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
immer_create_design_matrix_formula Processing Datasets and Creating Design Matrices for Rating Data
immer_FACETS Wrapper to FACDOS
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 Joint Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters and \varepsilon-Adjustment Bias Correction
immer_latent_regression Unidimensional Latent Regression
immer_opcat Estimation of Integer Item Discriminations
immer_proc_data 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
IRT.likelihood.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
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
IRT.posterior.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
lc2_agreement A Latent Class Model for Agreement of Two Raters
logits2probs Conversion of Probabilities into Logits
logLik.immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
logLik.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
logLik.immer_jml Joint Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters and \varepsilon-Adjustment Bias Correction
logLik.immer_latent_regression Unidimensional Latent Regression
logLik.lc2_agreement A Latent Class Model for Agreement of Two Raters
plot.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
probs2logits Conversion of Probabilities into Logits
summary.immer_agree2 Agreement Statistics for 2 Raters
summary.immer_ccml Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters
summary.immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
summary.immer_FACETS Wrapper to FACDOS
summary.immer_hrm Hierarchical Rater Model (Patz et al., 2002)
summary.immer_jml Joint Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters and \varepsilon-Adjustment Bias Correction
summary.immer_latent_regression Unidimensional Latent Regression
summary.lc2_agreement A Latent Class Model for Agreement of Two Raters
vcov.immer_ccml Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters
vcov.immer_cml Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
vcov.immer_latent_regression Unidimensional Latent Regression