getL |
Extract or Get Generalized Components from a Fitted Mixed Effects Model |
getL-method |
Extract or Get Generalized Components from a Fitted Mixed Effects Model |
getME |
Extract or Get Generalized Components from a Fitted Mixed Effects Model |
GHrule |
Univariate Gauss-Hermite quadrature rule |
glFormula |
Modular functions for mixed model fits |
glmer |
Fit Generalized Linear Mixed-Effects Models |
glmer.nb |
glmer() for Negative Binomial |
glmerControl |
Control of Mixed Model Fitting |
glmerMod-class |
Class "merMod" of Fitted Mixed-Effect Models |
glmFamily |
Generator object for the 'glmFamily' class |
glmFamily-class |
Class '"glmFamily"' - a reference class for 'family' |
glmResp |
Generator objects for the response classes |
glmResp-class |
Classes '"lmResp"', '"glmResp"', '"nlsResp"' and '"lmerResp"' |
golden |
Generator object for the golden search optimizer class. |
golden-class |
Class '"golden"' |
GQdk |
Sparse Gaussian Quadrature grid |
GQN |
Sparse Gauss-Hermite quadrature grids |
grouseticks |
Data on red grouse ticks from Elston et al. 2001 |
grouseticks_agg |
Data on red grouse ticks from Elston et al. 2001 |
lFormula |
Modular functions for mixed model fits |
lme4 |
Linear, generalized linear, and nonlinear mixed models |
lmer |
Fit Linear Mixed-Effects Models |
lmerControl |
Control of Mixed Model Fitting |
lmerMod-class |
Class "merMod" of Fitted Mixed-Effect Models |
lmerResp |
Generator objects for the response classes |
lmerResp-class |
Classes '"lmResp"', '"glmResp"', '"nlsResp"' and '"lmerResp"' |
lmList |
List of lm Objects with a Common Model |
lmList-class |
Class "lmList" of 'lm' Objects on Common Model |
lmResp |
Generator objects for the response classes |
lmResp-class |
Classes '"lmResp"', '"glmResp"', '"nlsResp"' and '"lmerResp"' |
log.thpr |
Profile method for merMod objects |
logLik.merMod |
Class "merMod" of Fitted Mixed-Effect Models |
mcmcsamp |
Getting p-values for fitted models |
merMod |
Class "merMod" of Fitted Mixed-Effect Models |
merMod-class |
Class "merMod" of Fitted Mixed-Effect Models |
merPredD |
Generator object for the 'merPredD' class |
merPredD-class |
Class '"merPredD"' - a dense predictor reference class |
mkdevfun |
Create a deviance evaluation function from a predictor and a response module |
mkGlmerDevfun |
Modular functions for mixed model fits |
mkLmerDevfun |
Modular functions for mixed model fits |
mkMerMod |
Create a merMod object |
mkRespMod |
Create an lmerResp, glmResp or nlsResp instance |
mkReTrms |
Create Z, Lambda, Lind, etc. |
mkVarCorr |
Make Variance and Correlation Matrices from 'theta' |
model.frame.merMod |
Class "merMod" of Fitted Mixed-Effect Models |
model.matrix.merMod |
Class "merMod" of Fitted Mixed-Effect Models |
modular |
Modular functions for mixed model fits |
NelderMead |
Class '"NelderMead"' of Nelder-Mead optimizers and its Generator |
NelderMead-class |
Class '"NelderMead"' of Nelder-Mead optimizers and its Generator |
Nelder_Mead |
Nelder-Mead Optimization of Parameters, Possibly (Box) Constrained |
nlformula |
Manipulate a nonlinear model formula. |
nlmer |
Fit Nonlinear Mixed-Effects Models |
nlmerControl |
Control of Mixed Model Fitting |
nlmerMod-class |
Class "merMod" of Fitted Mixed-Effect Models |
nlsResp |
Generator objects for the response classes |
nlsResp-class |
Classes '"lmResp"', '"glmResp"', '"nlsResp"' and '"lmerResp"' |
nobars |
Omit terms separated by vertical bars in a formula |
ranef |
Extract the modes of the random effects |
ranef.merMod |
Extract the modes of the random effects |
refit |
Refit a model with a new response, by maximum likelihood criterion |
refit.merMod |
Refit a model with a new response, by maximum likelihood criterion |
refitML |
Refit a model by maximum likelihood criterion |
refitML.merMod |
Refit a model by maximum likelihood criterion |
rePos |
Generator object for the rePos (random-effects positions) class |
rePos-class |
Class '"rePos"' |
residuals.glmResp |
residuals of merMod objects |
residuals.lmResp |
residuals of merMod objects |
residuals.merMod |
residuals of merMod objects |