
elicitnormlin
 Referenced in 27 articles
[sw27808]
 prior distribution for the normal linear model, based on the 1980 JASA paper by Kadane ... Interactive Elicitation of Opinion for a Normal Linear Model...

PROC GENMOD
 Referenced in 29 articles
[sw11741]
 linear models. These include classical linear models with normal errors, logistic and probit models...

Voom
 Referenced in 17 articles
[sw14009]
 read counts. New normal linear modeling strategies are presented for analyzing read counts from...

dlm
 Referenced in 29 articles
[sw04503]
 smoothing, and Bayesian analysis of Normal linear State Space models, also known as Dynamic Linear...

glimmix
 Referenced in 28 articles
[sw11740]
 necessarily normally distributed. These models are known as generalized linear ... mixed models (GLMM). GLMMs, like linear mixed models, assume normal (Gaussian) random effects. Conditional...

gcmr
 Referenced in 27 articles
[sw07433]
 Gaussian copula models for marginal regression analysis of nonnormal dependent observations. The class provides ... natural extension of traditional linear regression models with normal correlated errors. Any kind of continuous...

BIEMS
 Referenced in 9 articles
[sw21171]
 calculating Bayes factors of multivariate normal linear models with equality and/or inequality constraints between...

ic.infer
 Referenced in 5 articles
[sw14709]
 This package implements parameter estimation in normal (linear) models under linear equality and inequality constraints ... implements normal likelihood ratio tests involving inequalityconstrained hypotheses. For inequalityconstrained linear models, averaging...

blasso
 Referenced in 13 articles
[sw06769]
 Elastic net regression modeling with the orthant normal prior The elastic net procedure ... form of regularized optimization for linear regression that provides a bridge between ridge regression ... estimate as the posterior mode. The resulting modelbased framework allows for a methodology that ... properly normalized, direct characterization, which is shown to be conjugate for linear regression models...

glmmAK
 Referenced in 25 articles
[sw13218]
 linear model). Secondly, Bayesian estimation based on MCMC in the logistic and Poisson regression model ... whose distribution is specified as a penalized normal mixture are implemented. The methodology is described ... LESAFFRE, E. (2008). Generalized linear mixed model with a penalized Gaussian mixture as a random...

AS 139
 Referenced in 10 articles
[sw14177]
 Likelihood Estimation in a Linear Model from Confined and Censored Normal Data...

bernor
 Referenced in 8 articles
[sw19665]
 Monte Carlo likelihood inference for missing data models. We describe a Monte Carlo method ... consistent and asymptotically normal estimate of the minimizer θ * of the KullbackLeibler information ... give logitnormal generalized linear mixed model examples, calculated using an R package...

WebArray
 Referenced in 3 articles
[sw37316]
 quality weight, background correction, graphical plotting, normalization, linear modeling, empirical bayes statistical analysis, false discovery...

Clingcon
 Referenced in 34 articles
[sw09892]
 extended) constraint normal logic programs. It combines the highlevel modeling capacities of Answer ... with constraint solving. Constraints over nonlinear finite integers can be used in the logic...

lmec
 Referenced in 19 articles
[sw13215]
 function to fit a linear mixedeffects model in the formulation described in Laird ... Ware (1982) but allowing for censored normal responses. In this version, the within group...

cudaBayesreg
 Referenced in 6 articles
[sw24712]
 Gibbs Sampler for hierarchical linear models with a normal prior. This model has been proposed...

GORIC
 Referenced in 2 articles
[sw24569]
 namely, closed convex cones) for multivariate normal linear models. It can examine the traditional hypotheses...

GLLAMM
 Referenced in 61 articles
[sw06517]
 Stata and estimates GLLAMMs (Generalized Linear Latent And Mixed Models) by maximum likelihood (see help ... numerical integration is used for continuous (multivariate) normal random effects or factors. Two methods...

wwcode
 Referenced in 19 articles
[sw26044]
 RankBased Analysis of Linear Models Using R. It is wellknown that Wilcoxon procedures ... squares procedures when the data deviate from normality and/or contain outliers. These procedures ... implement a robust analysis of a linear model based on WWestimates. For instance, estimation...

mcglm
 Referenced in 5 articles
[sw23203]
 generalized linear models (McGLMs) to data. McGLMs is a general framework for nonnormal multivariate ... matrix linear predictor involving known matrices. The models take nonnormality into account ... structure is modelled by means of a link function and a linear predictor. The models...