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 |