
Mplus
 Referenced in 310 articles
[sw06511]
 with either observed or unobserved heterogeneity, and data that contain missing values. Analyses ... that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts, or combinations ... capabilities for Monte Carlo simulation studies, where data can be generated and analyzed according...

ordinal
 Referenced in 13 articles
[sw12561]
 package ordinal: Regression Models for Ordinal Data. Implementation of cumulative link (mixed) models also known...

CUB
 Referenced in 6 articles
[sw17717]
 Class of Mixture Models for Ordinal Data. Estimate and test models for ordinal data concerning...

MultiOrd
 Referenced in 4 articles
[sw11245]
 package for generating correlated ordinal data. In this article, operational details of an R package ... designed for the generation of correlated ordinal data are described, and examples of some important ... been lacking for generating multivariate ordinal data...

GAP
 Referenced in 14 articles
[sw26294]
 reduction techniques fail or when data is of ordinal, binary, and nominal type...

repolr
 Referenced in 5 articles
[sw07133]
 proportional odds logistic regression analysis of ordinal score data in the statistical software package ... model is developed for correlated repeated ordinal score data, using a modified version...

ordinalNet
 Referenced in 3 articles
[sw20527]
 parallel form, which is appropriate for ordinal response data, as well as a nonparallel form ... more flexible model for ordinal data. The parallel model has a single set of coefficients...

BDM
 Referenced in 2 articles
[sw26136]
 Dale Regression Model to Bivariate Ordinal Response Data. A SAS macro for fitting an extension ... Dale (1986) regression model to bivariate ordinal data is provided. The macro is described...

LowRankModels
 Referenced in 12 articles
[sw27002]
 useful when data types are heterogeneous (eg, real, boolean, and ordinal columns); fitting the model ... table, which is useful for data tables with many missing (unobserved) entries; and adding offsets...

CanoDraw
 Referenced in 2 articles
[sw04565]
 with linear and unimodal ordination methods. Analysis of multivariate data often involves not only ... properties, but also the original analyzed data, ordination results produced by Canoco, as well...

irr
 Referenced in 6 articles
[sw04527]
 Reliability and Agreement for quantitative, ordinal and nominal data: ICC, FinnCoefficient, Robinson’A, Kendall...

ordinalClust
 Referenced in 1 article
[sw26302]
 package ordinalClust: Ordinal Data Clustering, CoClustering and Classification. Ordinal data classification, clustering ... approach with the Bos distribution for ordinal data (Christophe Biernacki and Julien Jacques...

REALCOM
 Referenced in 7 articles
[sw18415]
 observed data, under the assumption that the data are missing at random. However, many medical ... multilevel multiple imputation, and handles ordinal and unordered categorical data appropriately. It is freely available...

HIBITS
 Referenced in 2 articles
[sw30626]
 generalized additive mixed model, models for ordinal data, gradient boosting, decision tree and random forest...

MIXOR
 Referenced in 16 articles
[sw08990]
 ordinal outcomes from either a clustered or longitudinal design. For clustered data, the mixedeffects...

CORElearn
 Referenced in 4 articles
[sw10624]
 package CORElearn: Classification, regression, feature evaluation and ordinal evaluation. CORElearn is machine learning suite ported ... visualization used for evaluation of data sets with ordinal features and class. Several algorithms support...

clustMD
 Referenced in 7 articles
[sw25059]
 mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using...

sgr
 Referenced in 1 article
[sw13841]
 package for simulating conditional fake ordinal data. sgr: Sample Generation by Replacement. The package...

nparLD
 Referenced in 5 articles
[sw22736]
 variety of data types (continuous, discrete, purely ordinal, and dichotomous). Such methods are also robust...

bmrm
 Referenced in 17 articles
[sw11016]
 learning which make it powerful for big data analysis. The applications includes: structured prediction, linear ... class SVM, fbeta optimization, ROC optimization, ordinal regression, quantile regression, epsilon insensitive regression, least...