daegeunmoon's Stars
hyunsooseol/mixRasch
:exclamation: This is a read-only mirror of the CRAN R package repository. mixRasch — Mixture Rasch Models with JMLE
hyunsooseol/snowRMM
Latent Class Analysis(LCA), LCA for ordinal indicators, Latent class growth modeling, Laten Profile Analysis, Rasch model, Linear Logistic Test Model, Rasch mixture model, linear and equipercentile equating can be performed within module.
hyunsooseol/seolmatrix
This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.
hyunsooseol/snowCluster
This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.
hyunsooseol/RaschSim
Generating Rasch simulation dataset
hyunsooseol/BootFit
Bootstrap Item Fit statistics and 95% Confidence Interval using MML estimation in the Rasch model
hyunsooseol/correlation
:link: Methods for Correlation Analysis
hyunsooseol/jmvtools
Create "Correlations" jamovi module
jamovi/jamovi
jamovi - open software to bridge the gap between researcher and statistician
hyunsooseol/snowIRT
This module includes Item Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curve for DIF using MML estimation of the Rasch measurement model. Furthermore you can analyze DIF, Distractor analysis and Many facet Rasch model.
hyunsooseol/snowLatent
Latent Class analysis: This module allows users to conduct LCA, Multiple group LCA, and Multilevel LCA based on glca R package, and provide plot such as Profile plot and Radar chart within module.