# Item Response Models for Multiple Ratings

## Documentation for package ‘immer’ version 1.0-138

- DESCRIPTION file.
- Package NEWS.

## Help Pages

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.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