• Mplus

  • Referenced in 339 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 24 articles [sw12561]
  • package ordinal: Regression Models for Ordinal Data. Implementation of cumulative link (mixed) models also known...
  • CUB

  • Referenced in 9 articles [sw17717]
  • Class of Mixture Models for Ordinal Data. Estimate and test models for ordinal data concerning...
  • MultiOrd

  • Referenced in 6 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 18 articles [sw26294]
  • reduction techniques fail or when data is of ordinal, binary, and nominal type...
  • repolr

  • Referenced in 7 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...
  • LowRankModels

  • Referenced in 27 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...
  • ordinalNet

  • Referenced in 4 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...
  • HIBITS

  • Referenced in 4 articles [sw30626]
  • generalized additive mixed model, models for ordinal data, gradient boosting, decision tree and random forest...
  • CanoDraw

  • Referenced in 3 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...
  • MIXOR

  • Referenced in 25 articles [sw08990]
  • ordinal outcomes from either a clustered or longitudinal design. For clustered data, the mixed-effects...
  • REALCOM

  • Referenced in 9 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...
  • 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...
  • irr

  • Referenced in 6 articles [sw04527]
  • Reliability and Agreement for quantitative, ordinal and nominal data: ICC, Finn-Coefficient, Robinson’A, Kendall...
  • clustMD

  • Referenced in 10 articles [sw25059]
  • mixed data (i.e. data which consist of continuous, binary, ordinal or nominal variables) using...
  • ordinalClust

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

  • Referenced in 2 articles [sw17210]
  • variance. Second, cumulative link models for ordinal data (obtained by interval-censoring continuous data...
  • CORElearn

  • Referenced in 5 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...
  • ordBTL

  • Referenced in 3 articles [sw26623]
  • package ordBTL: Modelling comparison data with ordinal response. This package extends the Bradley-Terry-Luce...
  • OCAPIS

  • Referenced in 1 article [sw26308]
  • Ordinal Classification And Preprocessing In Scala. Ordinal Data are those where a natural order exist ... processing of this type of data is attracting more and more interest in the area ... presence in many common problems. Traditionally, ordinal classification problems have been approached as nominal problems ... processing algorithms for ordinal and monotonic data. Main features of the package and examples...