Learn R Programming

immer

Item Response Models for Multiple Ratings

If you use immer and have suggestions for improvement or have found bugs, please email me at robitzsch@leibniz-ipn.de. Please always provide a minimal dataset, necessary to demonstrate the problem, a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().

Manual

The manual may be found here https://alexanderrobitzsch.github.io/immer/

CRAN version

The official version of immer is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("immer")

GitHub version

The version hosted here is the development version of immer. The GitHub version can be installed using devtools as:

devtools::install_github("alexanderrobitzsch/immer")

Copy Link

Version

Install

install.packages('immer')

Monthly Downloads

378

Version

1.5-13

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Last Published

March 21st, 2024

Functions in immer (1.5-13)

immer_FACETS

Wrapper to FACDOS
immer_agree2

Agreement Statistics for 2 Raters
immer_cml

Conditional Maximum Likelihood Estimation for the Linear Logistic Partial Credit Model
immer_install

Support for the installation of the DOS-version from FACETS
immer_hrm

Hierarchical Rater Model (Patz et al., 2002)
immer_hrm_simulate

Simulating the Hierarchical Rater Model (Patz et al., 2002)
data.immer

Some Example Datasets for the immer Package
immer_ccml

Composite Conditional Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters
immer_proc_data

Processing Datasets and Creating Design Matrices for Rating Data
immer_opcat

Estimation of Integer Item Discriminations
immer_unique_patterns

Extracts Unique Item Response Patterns
immer_latent_regression

Unidimensional Latent Regression
immer_reshape_wideformat

Creating a Rating Dataset in Wide Format
immer_jml

Joint Maximum Likelihood Estimation for the Partial Credit Model with a Design Matrix for Item Parameters and \(\varepsilon\)-Adjustment Bias Correction
lc2_agreement

A Latent Class Model for Agreement of Two Raters
probs2logits

Conversion of Probabilities into Logits
immer-package

tools:::Rd_package_title("immer")
data.ptam

Example Datasets for Robitzsch and Steinfeld (2018)