
SemiPar
 Referenced in 714 articles
[sw07116]
 regression is based on penalized regression splines and mixed models. Every model in this book ... special case of the linear mixed model or its generalized counterpart. This book is very ... scientists with only a moderate background in regression, though familiarity with matrix and linear algebra...

SAS/STAT
 Referenced in 423 articles
[sw18788]
 statistical analyses, including analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric ... nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...

DPpackage
 Referenced in 68 articles
[sw10495]
 clustered data using generalized linear mixed models, and regression data using generalized additive models...

KNITRO
 Referenced in 191 articles
[sw00490]
 nonlinear regression, problems with complementarity constraints (MPCCs or MPECs), and mixedinteger programming (MIPs), particular...

BayesLogit
 Referenced in 44 articles
[sw09312]
 method, including logistic regression, negative binomial regression, nonlinear mixedeffect models, and spatial models...

MIXOR
 Referenced in 26 articles
[sw08990]
 MIXOR: a computer program for mixedeffects ordinal regression analysis. MIXOR provides maximum marginal likelihood ... estimates for mixedeffects ordinal probit, logistic, and complementary loglog regression models. These models ... longitudinal design. For clustered data, the mixedeffects model assumes that data within clusters...

faraway
 Referenced in 24 articles
[sw04357]
 model with R. Generalized linear, mixed effects and nonparametric regression models. Linear models are central ... generalized linear models (GLMs), mixed effect models, and nonparametric regression models. The author’s treatment ... topics that include GLM diagnostics, generalized linear mixed models, trees, and even...

mgcv
 Referenced in 94 articles
[sw07751]
 package mgcv: Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation. Routines for GAMs and other ... generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs...

metafor
 Referenced in 31 articles
[sw12291]
 mixedeffects models to such data, carry out moderator and metaregression analyses, and create ... mixedeffects) models (i.e., mixedeffects (conditional) logistic and Poisson regression models). Finally, the package...

np
 Referenced in 97 articles
[sw10543]
 regression models, among others. The np package focuses on kernel methods appropriate for the mix...

ordinal
 Referenced in 26 articles
[sw12561]
 Implementation of cumulative link (mixed) models also known as ordered regression models, proportional odds models ... models. Estimation is via maximum likelihood and mixed models are fitted with the Laplace approximation...

spikeSlabGAM
 Referenced in 9 articles
[sw07415]
 regularized estimation for (spatial) generalized additive mixed regression models via SSVS with spikeandslab...

Spatial Statistics
 Referenced in 8 articles
[sw06026]
 conditional spatial autoregressions (CAR), and mixed regressive spatially autoregressive (MRSA) models. In addition, it contains...

CRIO
 Referenced in 27 articles
[sw04840]
 classification and regression. The second part describes our cardinalityconstrained quadratic mixedinteger optimization algorithm...

Statmod
 Referenced in 20 articles
[sw07073]
 limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverseGaussian probability calculations, Gauss...

MIXNO
 Referenced in 9 articles
[sw10546]
 MIXNO: A computer program for mixedeffects nominal logistic regression. MIXNO provides maximum marginal likelihood ... estimates for mixedeffects nominal logistic regression analysis. These models can be used for analysis ... longitudinal design. For such data, the mixedeffects model assumes that data within clusters...

MIXREG
 Referenced in 5 articles
[sw24547]
 MIXREG: a computer program for mixedeffects regression analysis with autocorrelated errors. MIXREG ... program that provides estimates for a mixedeffects regression model (MRM) for normallydistributed response ... analysis of clustered data, where the mixedeffects model assumes data within clusters are dependent...

SimpleMKL
 Referenced in 66 articles
[sw12290]
 insight on MKL algorithms based on mixednorm regularization by showing that the two approaches ... applied beyond binary classification, for problems like regression, clustering (oneclass classification) or multiclass classification...

glmmAK
 Referenced in 26 articles
[sw13218]
 Linear Mixed Models. This package implements maximumlikelihood estimation in the logistic regression with both ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified ... LESAFFRE, E. (2008). Generalized linear mixed model with a penalized Gaussian mixture as a random...

SuperMix
 Referenced in 3 articles
[sw24419]
 SuperMix: A Program for MixedEffects Regression Models. SuperMix combines the functionality of four mixed ... single application to provide estimates for mixedeffects regression models. Mixedeffects models are also...