Description A suite of diagnostic tools for hierarchical (multilevel) linear models. The tools include not only leverage and traditional deletion diagnostics (Cook's distance, covratio, covtrace, and MDFFITS) but also convenience functions and graphics for residual analysis. Models can be fit using either lmer in the 'lme4 ' package or lme in the 'nlme ' package, but only two-level models fit using lme are currently supported. Depends R (> = 2.15.0
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Deprecate lmm and glmm constructor functions in favor of explicit LinearMixedModel and GeneralizedLi...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...
Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hier...
Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hier...
This chapter focuses on diagnostics for the two-level Hierarchical Linear Model (HLM). This model, a...
In this dissertation, I develop a multilevel approach to diagnosing and assessing t in mixed linea...
Description Mimics the lm function found in the package stats to fit high dimensional regression mod...
Description This package computes regression deletion diagnostics for multivariate linear models and...
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
Description texreg converts coefficients, standard errors, significance stars, and goodness-of-fit s...
Supplementary Tables and Figures. Supplementary Note 1: R code to compare lme4qtl and pedigreemm R p...
Description The hglm package is used to fit hierarchical generalized linear mod-els. It can be used ...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Deprecate lmm and glmm constructor functions in favor of explicit LinearMixedModel and GeneralizedLi...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...
Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hier...
Over the last twenty years there have been numerous developments in diagnostic pro- cedures for hier...
This chapter focuses on diagnostics for the two-level Hierarchical Linear Model (HLM). This model, a...
In this dissertation, I develop a multilevel approach to diagnosing and assessing t in mixed linea...
Description Mimics the lm function found in the package stats to fit high dimensional regression mod...
Description This package computes regression deletion diagnostics for multivariate linear models and...
Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mix...
Description texreg converts coefficients, standard errors, significance stars, and goodness-of-fit s...
Supplementary Tables and Figures. Supplementary Note 1: R code to compare lme4qtl and pedigreemm R p...
Description The hglm package is used to fit hierarchical generalized linear mod-els. It can be used ...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., in...
Deprecate lmm and glmm constructor functions in favor of explicit LinearMixedModel and GeneralizedLi...
Multilevel analysis (or multilevel model), also known by names such as hierarchical linear model (HL...