| 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 |