• SAS/STAT

  • Referenced in 264 articles [sw18788]
  • analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis...
  • MICE

  • Referenced in 70 articles [sw09315]
  • normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data...
  • np

  • Referenced in 63 articles [sw10543]
  • continuous, discrete, and categorical data often found in applied settings. Data-driven methods of bandwidth...
  • Mplus

  • Referenced in 287 articles [sw06511]
  • with either observed or unobserved heterogeneity, and data that contain missing values. Analyses ... variables 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...
  • RCV1

  • Referenced in 85 articles [sw07279]
  • archive of over 800,000 manually categorized newswire stories recently made available by Reuters ... purposes. Use of this data for research on text categorization requires a detailed understanding...
  • vcd

  • Referenced in 19 articles [sw04543]
  • package vcd: Visualizing Categorical Data , Visualization techniques, data sets, summary and inference procedures aimed particularly ... categorical data. Special emphasis is given to highly extensible grid graphics. The package was inspired ... book ”Visualizing Categorical Data” by Michael Friendly...
  • Surveillance

  • Referenced in 23 articles [sw00932]
  • phenomena. This includes count, binary and categorical data time series as well as continuous-time...
  • VCD

  • Referenced in 7 articles [sw25927]
  • Visualizing Categorical Data. Categorical data consists of variables whose values comprise a set of discrete ... graphical methods than commonly used for quantitative data. The focus of this book ... designed to reveal patterns of relationships among categorical variables...
  • MULTIMIX

  • Referenced in 25 articles [sw03250]
  • designed to cluster multivariate data that have categorical and continuous variables and that possibly contain...
  • MacSpin

  • Referenced in 10 articles [sw14078]
  • user to transform, edit, and categorize data as patterns in the display indicate. MacSpin also...
  • LEM

  • Referenced in 10 articles [sw12167]
  • general program for the analysis of categorical data...
  • categorical

  • Referenced in 5 articles [sw13141]
  • Analysis of categorical data with R. The book presents a modern account of categorical data...
  • REALCOM

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

  • Referenced in 5 articles [sw19483]
  • trained on the observed values of a data matrix to predict the missing values ... used to impute continuous and/or categorical data including complex interactions and non-linear relations...
  • LMest

  • Referenced in 5 articles [sw11736]
  • Latent Markov model for longitudinal categorical data...
  • DIVCLUS-T

  • Referenced in 5 articles [sw02736]
  • designed for either numerical or categorical data. Like the Ward agglomerative hierarchical clustering algorithm...
  • PROC CATMOD

  • Referenced in 3 articles [sw12082]
  • CATMOD procedure performs categorical data modeling of data that can be represented by a contingency ... procedure provides a wide variety of categorical data analyses, many of which are generalizations...
  • TraMineR

  • Referenced in 7 articles [sw10507]
  • more generally the mining of sequence data in the field of social sciences. Though ... apply to many other kinds of categorical sequence data. It accepts many different sequence representations...
  • vcdExtra

  • Referenced in 4 articles [sw09553]
  • complement the ’vcd’ package for Visualizing Categorical Data and the ’gnm’ package for Generalized Nonlinear...
  • ProbCD

  • Referenced in 2 articles [sw20338]
  • contingency tables, a type of categorical data analysis known in this field as enrichment (also ... package to deal with probabilistic categorical data analysis, ProbCD, that does not require a static ... Bernoulli Scheme stochastic process given the categorization probabilities. An on-line interface was created ... address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis...