
MEMSS
 Referenced in 172 articles
[sw11219]
 MEMSS: Data sets from Mixedeffects Models in S .Data sets and sample analyses from...

Latent GOLD
 Referenced in 90 articles
[sw11673]
 seek to separate out or ’unmix’ data that is assumed to arise...

MIXED
 Referenced in 66 articles
[sw06480]
 Approach of linear mixed model in longitudinal data analysis using SAS. Linear mixed models ... analysis of the longitudinal (repeated measures) data. One major advantage of this methodology is that ... complexities of typical longitudinal data sets. The analysis of linear mixed model methodology ... analysis of repeated measurements data using the SAS Software. PROC MIXED in SAS provides...

SAS/STAT
 Referenced in 396 articles
[sw18788]
 analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis ... nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...

SASmixed
 Referenced in 55 articles
[sw24366]
 Data sets from ”SAS System for Mixed Models”. Data sets and sample lmer analyses corresponding ... Stroup and Wolfinger (1996), ”SAS System for Mixed Models”, SAS Institute...

DPpackage
 Referenced in 60 articles
[sw10495]
 response data, longitudinal and clustered data using generalized linear mixed models, and regression data using...

np
 Referenced in 89 articles
[sw10543]
 methods appropriate for the mix of continuous, discrete, and categorical data often found in applied...

MIXOR
 Referenced in 23 articles
[sw08990]
 MIXOR provides maximum marginal likelihood estimates for mixedeffects ordinal probit, logistic, and complementary ... clustered or longitudinal design. For clustered data, the mixedeffects model assumes that data within ... data. Similarly, for longitudinal data, the mixedeffects approach can allow for individualvarying intercepts...

bfa
 Referenced in 20 articles
[sw07430]
 Bayesian Gaussian copula factor models for mixed data. Gaussian factor models have proven widely useful ... multivariate data. There is rich literature on their extension to mixed categorical and continuous variables...

missForest
 Referenced in 27 articles
[sw19483]
 values particularly in the case of mixedtype data. It uses a random forest trained...

ABACUS
 Referenced in 115 articles
[sw02948]
 chosen. Finally, ABACUS provides many basic data structures and useful tools for the implementation ... algorithms. It is designed both for general mixed integer optimization problems and for combinatorial optimization ... code and the design of abstract data structures and algorithms are met by object oriented...

clustMD
 Referenced in 10 articles
[sw25059]
 package clustMD: Model Based Clustering for Mixed Data. Modelbased clustering of mixed data...

gamair
 Referenced in 248 articles
[sw11132]
 Data for ”GAMs: An Introduction with R”. Data sets and scripts used in the book ... linear, generalized linear, generalized additive and mixed models. Moreover, the book contains explanations...

SpectralCAT
 Referenced in 8 articles
[sw18794]
 type (numerical or nominal) or with mix data type (numerical and nominal) and only ... realworld applications data to handle both feature types and their mix. In this paper ... highdimensional data that contains numerical or nominal or mix of attributes. We suggest...

metafor
 Referenced in 29 articles
[sw12291]
 fixed, random, and mixedeffects models to such data, carry out moderator and metaregression ... metaanalyses of binomial and persontime data, the package also provides functions that implement ... variety of suitable generalized linear (mixedeffects) models (i.e., mixedeffects (conditional) logistic and Poisson...

BayesLogit
 Referenced in 44 articles
[sw09312]
 Gamma latent variables. We propose a new dataaugmentation strategy for fully Bayesian inference ... binomial regression, nonlinear mixedeffect models, and spatial models for count data. In each case...

GlobalAncova
 Referenced in 7 articles
[sw30019]
 rather robust. ANCOVA with interaction yields saturated data modelling e.g. different means per group ... groups of categorical variables or even mixed data by a likelihood ratio approach. Closed...

PCAmixdata
 Referenced in 4 articles
[sw08547]
 Multivariate analysis of mixed data: The PCAmixdata R package. Mixed data type arise when observations ... analysis methods to incorporate this type of data. The key techniques included in the package ... MFAmix (multiple factor analysis with mixed type data within a dataset). This paper gives...

MIXNO
 Referenced in 8 articles
[sw10546]
 MIXNO provides maximum marginal likelihood estimates for mixedeffects nominal logistic regression analysis. These models ... used for analysis of correlated nominal response data, for example, data arising from ... clustered or longitudinal design. For such data, the mixedeffects model assumes that data within...

PROC NLMIXED
 Referenced in 55 articles
[sw11039]
 NLMIXED procedure fits nonlinear mixed models—that is, models in which both fixed and random ... most common being pharmacokinetics and overdispersed binomial data. PROC NLMIXED enables you to specify ... conditional distribution for your data (given the random effects) having either a standard form (normal ... programming statements. PROC NLMIXED fits nonlinear mixed models by maximizing an approximation to the likelihood...