Tools for Analyzing Mixed Effect Regression Models


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Documentation for package ‘merTools’ version 0.1.0

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merTools-package merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package.
averageObs Find the average observation for a merMod object
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.
fastdisp Display model fit summary of merMod objects, fast
FEsim Simulate fixed effects from merMod 'FEsim' simulates fixed effects from merMod object posterior distributions
merTools merTools: Provides methods for extracting and exploring results from merMod objects in the lme4 package.
plotFEsim Plot the results of a simulation of the fixed effects
plotREsim Plot the results of a simulation of the random effects
predictInterval Predict from merMod objects with a prediction interval
randomObs Select a random observation from model data
REextract Extracts random effects
REimpact Calculate the weighted mean of fitted values for various levels of random effect terms.
REquantile Identify group level associated with RE quantile
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
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
superFactor Create a factor with unobserved levels
thetaExtract Extract theta parameters from a merMod model
wiggle Assign an observation to different values