University Lecture/Instructor Evaluations by Students at ETH
Class '"NelderMead"' of Nelder-Mead optimizers and its Generator
Nelder-Mead Optimization of Parameters, Possibly (Box) Constrained
Extract Variance and Correlation Components
Model-based (Semi-)Parametric Bootstrap for Mixed Models
Compute Confidence Intervals for Parameters of a [ng]lmer Fit
Drop all possible single fixed-effect terms from a mixed effect model
Expand terms with "||" notation into separate "|" terms
Determine random-effects expressions from a formula
add information to data based on a fitted model
Extract or Get Generalized Components from a Fitted Mixed Effects Model
Class '"glmFamily"' - a reference class for 'family'
Generator object for the 'glmFamily' class
Fit Generalized Linear Mixed-Effects Models
Generator object for the golden search optimizer class.
Data on red grouse ticks from Elston et al. 2001
Class "lmList" of 'lm' Objects on Common Model
Classes '"lmResp"', '"glmResp"', '"nlsResp"' and '"lmerResp"'
Generator objects for the response classes
Linear, generalized linear, and nonlinear mixed models
Class "merMod" of Fitted Mixed-Effect Models
Class '"merPredD"' - a dense predictor reference class
Generator object for the 'merPredD' class
Create an lmerResp, glmResp or nlsResp instance
Make Variance and Correlation Matrices from 'theta'
Create a deviance evaluation function from a predictor and a response module
Omit terms separated by vertical bars in a formula
Mixed-Effects Profile Plots (Regular / Density / Pairs)
Predictions from a model at new data values
Generator object for the rePos (random-effects positions) class
Refit a model with a new response, by maximum likelihood criterion
Refit a model by maximum likelihood criterion
Simulate responses from a 'merMod' object
Reaction times in a sleep deprivation study