
SAS/STAT
 Referenced in 419 articles
[sw18788]
 analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis...

MICE
 Referenced in 134 articles
[sw09315]
 normal), binary data (logistic regression), unordered categorical data (polytomous logistic regression) and ordered categorical data...

np
 Referenced in 95 articles
[sw10543]
 continuous, discrete, and categorical data often found in applied settings. Datadriven methods of bandwidth...

ROCK
 Referenced in 69 articles
[sw37720]
 robust clustering algorithm for categorical attributes. Clustering, in data mining, is useful to discover distribution ... study clustering algorithms for data with boolean and categorical attributes. We show that traditional clustering ... clustering are not appropriate for boolean and categorical attributes. Instead, we propose a novel concept ... effectiveness of our techniques. For data with categorical attributes, our findings indicate that ROCK...

RCV1
 Referenced in 117 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...

Mplus
 Referenced in 339 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...

catdata
 Referenced in 36 articles
[sw27750]
 package catdata: Categorical Data. This Rpackage contains examples from the book ”Regression for Categorical...

COOLCAT
 Referenced in 29 articles
[sw37383]
 explore the connection between clustering categorical data and entropy: clusters of similar poi lower entropy ... data sets of records with categorical attributes, and data streams. In contrast with other categorical ... well equipped to deal with clustering of data streams(continuously arriving streams of data point...

vcd
 Referenced in 23 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...

missForest
 Referenced in 30 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 nonlinear relations...

Surveillance
 Referenced in 28 articles
[sw00932]
 phenomena. This includes count, binary and categorical data time series as well as continuoustime...

MULTIMIX
 Referenced in 34 articles
[sw03250]
 designed to cluster multivariate data that have categorical and continuous variables and that possibly contain...

categorical
 Referenced in 10 articles
[sw13141]
 Analysis of categorical data with R. The book presents a modern account of categorical data...

VCD
 Referenced in 8 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...

LEM
 Referenced in 12 articles
[sw12167]
 general program for the analysis of categorical data...

MacSpin
 Referenced in 11 articles
[sw14078]
 user to transform, edit, and categorize data as patterns in the display indicate. MacSpin also...

mvis
 Referenced in 10 articles
[sw37353]
 function of several covariates, each with complete data. micombine fits a wide variety of regression ... survival analysis models (stcox and streg), categorical data models, generalized linear models, and more. Finally...

LMest
 Referenced in 9 articles
[sw11736]
 Latent Markov model for longitudinal categorical data...

REALCOM
 Referenced in 9 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 online...

ProbCD
 Referenced in 5 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 online interface was created ... address the issue of uncertainty in categorical data analysis. In particular, concerning the enrichment analysis...