
PROC NLMIXED
 Referenced in 65 articles
[sw11039]
 models in which both fixed and random effects enter nonlinearly. These models have a wide ... distribution for your data (given the random effects) having either a standard form (normal, binomial ... likelihood integrated over the random effects. Different integral approximations are available, the principal ones being ... using empirical Bayes estimates of the random effects. You can also estimate arbitrary functions...

FRK
 Referenced in 93 articles
[sw19172]
 building block of the Spatial Random Effects (SRE) model, on which this package is based...

Latent GOLD
 Referenced in 93 articles
[sw11673]
 factor analysis, structural equation models, and randomeffects regression models that are based on continuous...

GLLAMM
 Referenced in 61 articles
[sw06517]
 case of discrete random effects or factors, the marginal loglikelihood is evaluated exactly whereas ... used for continuous (multivariate) normal random effects or factors. Two methods are available for numerical...

MIXED
 Referenced in 73 articles
[sw06480]
 experimental units can be modeled using random effects and through the specification of a covariance...

frailtypack
 Referenced in 40 articles
[sw06070]
 proportional hazard models with two correlated random effects (intercept random effect with random slope ... clustering) by including two iid gamma random effects. 4) Joint frailty models in the context...

HLM
 Referenced in 44 articles
[sw06516]
 level, but it also predicts the random effects associated with each sampling unit at every...

FODE
 Referenced in 258 articles
[sw08377]
 highly effective in a rich variety of scenarios such as continuous time random walk models ... corresponding stability condition is got. The effectiveness of this numerical algorithm is evaluated by comparing...

glimmix
 Referenced in 28 articles
[sw11740]
 linear mixed models, assume normal (Gaussian) random effects. Conditional on these random effects, data...

glmmAK
 Referenced in 25 articles
[sw13218]
 logistic and Poisson regression model with random effects whose distribution is specified as a penalized ... penalized Gaussian mixture as a randomeffects distribution. Computational Statistics and Data Analysis...

ConfBands
 Referenced in 30 articles
[sw12330]
 framework with the spline coefficients as random effects, and (c) a full Bayesian approach...

Scatter Search
 Referenced in 286 articles
[sw05291]
 benefits beyond those derived from recourse to randomization. Our implementation goal is to create ... scatter search methodology that proves effective when searching for optimal weight values in a multilayer...

MIXOR
 Referenced in 25 articles
[sw08990]
 degree to which these timerelated effects vary in the population of individuals. MIXOR uses ... solution, the Cholesky factor of the randomeffects variancecovariance matrix is estimated, along with...

ordinal
 Referenced in 24 articles
[sw12561]
 adaptive GaussHermite quadrature. Multiple random effect terms are allowed and they may be nested...

TMB
 Referenced in 15 articles
[sw16279]
 Template Model Builder: A General Random Effect Tool Inspired by ’ADMB’. With this tool ... able to quickly implement complex random effect models through simple C++ templates. The package combines...

BradleyTerry2
 Referenced in 20 articles
[sw09554]
 home advantage’ effect or other ‘contestspecific’ effects. Model fitting is either by maximum likelihood ... likelihood (for models which involve a random effect), or by biasreduced maximum likelihood...

MsdeParEst
 Referenced in 17 articles
[sw25419]
 estimation in stochastic differential equations with random effects in the drift, or in the diffusion...

meta
 Referenced in 11 articles
[sw17233]
 with R” (2015):  fixed effect and random effects metaanalysis;  several plots (forest, funnel, Galbraith ... Knapp and PauleMandel method for random effects model;  cumulative metaanalysis and leave...

tlmec
 Referenced in 11 articles
[sw11119]
 response using the multivariatet distribution. Mixedeffects models are commonly used to fit longitudinal ... normal distributions are commonly assumed for random effects and residual errors, such assumptions make inferences ... need for heavy tailed distributions for random effects and residual errors motivate us to develop...

metafor
 Referenced in 30 articles
[sw12291]
 outcome measures, fit fixed, random, and mixedeffects models to such data, carry out moderator...