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 |