Tools for Analyzing Mixed Effect Regression Models

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Documentation for package ‘merTools’ version 0.6.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

averageObs	Find the average observation for a merMod object
bglmerModList	Apply a multilevel model to a list of data frames
blmerModList	Apply a multilevel model to a list of data frames
collapseFrame	Collapse a dataframe to a single average row
draw	Draw a single observation out of an object matching some criteria
draw.merMod	Draw a single observation out of an object matching some criteria
expectedRank	Calculate the expected rank of random coefficients that account for uncertainty.
famlink	Find link function family
fastdisp	fastdisp: faster display of model summaries
fastdisp.merMod	fastdisp: faster display of model summaries
fastdisp.merModList	fastdisp: faster display of model summaries
FEsim	Simulate fixed effects from merMod 'FEsim' simulates fixed effects from merMod object posterior distributions
fetch.merMod.msgs	Extract all warning msgs from a merMod object
findFormFuns	'findFormFuns' used by averageObs to calculate proper averages
fixef.merModList	Extract fixed-effects estimates for a merModList
glmerModList	Apply a multilevel model to a list of data frames
hasWeights	Identify if a merMod has weights
hsb	A subset of data from the 1982 High School and Beyond survey used as examples for HLM software
ICC	Calculate the intraclass correlation using mixed effect models
lmerModList	Apply a multilevel model to a list of data frames
modelFixedEff	Extract averaged fixed effect parameters across a list of merMod objects
modelInfo	Extract model information from a merMod
modelRandEffStats	Extract data.frame of random effect statistics from merMod List
plotFEsim	Plot the results of a simulation of the fixed effects
plotREsim	Plot the results of a simulation of the random effects
plot_sim_error_chks	Extract all warning msgs from a merMod object
predictInterval	Predict from merMod objects with a prediction interval
print.merModList	Summarize a merMod list
print.summary.merModList	Print the summary of a merMod list
randomObs	Select a random observation from model data
ranef.merModList	Extract random-effects estimates for a merModList
REcorrExtract	Extract the correlations between the slopes and the intercepts from a model
REextract	Extracts random effects
REimpact	Calculate the weighted mean of fitted values for various levels of random effect terms.
REmargins	Calculate the predicted value for each observation across the distribution of the random effect terms.
REquantile	Identify group level associated with RE quantile
REsdExtract	Extract the standard deviation of the random effects from a merMod object
REsim	Simulate random effects from merMod 'REsim' simulates random effects from merMod object posterior distributions
RMSE.merMod	Estimate the Root Mean Squared Error (RMSE) for a lmerMod
sanitizeNames	Clean up variable names in data frames
setup_parallel	Set up parallel environment
shinyMer	Launch a shiny app to explore your merMod interactively
shuffle	Randomly reorder a dataframe
stripAttributes	Remove attributes from a data.frame
subBoot	Bootstrap a subset of an lme4 model
subsetList	Subset a data.frame using a list of conditions
sum.mm	Title
summary.merModList	Print the results of a merMod list
superFactor	Create a factor with unobserved levels
thetaExtract	Extract theta parameters from a merMod model
VarCorr.merModList	Extract the variances and correlations for random effects from a merMod list
wiggle	Assign an observation to different values