Tools for Analyzing Mixed Effect Regression Models
Collapse a dataframe to a single average row
Find the average observation for a merMod object
Build model matrix
Apply a multilevel model to a list of data frames
merTools: Provides methods for extracting and exploring results from m...
Utility function to make RE terms objects
Extract averaged fixed effect parameters across a list of merMod objec...
Extract model information from a merMod
Extract data.frame of random effect statistics from merMod List
Extract all warning msgs from a merMod object
Plot the results of a simulation of the fixed effects
Plot the results of a simulation of the random effects
Predict from merMod objects with a prediction interval
Summarize a merMod list
Print the summary of a merMod list
Select a random observation from model data
Extract random-effects estimates for a merModList
Extract the correlations between the slopes and the intercepts from a ...
Extracts random effects
Calculate the weighted mean of fitted values for various levels of ran...
Calculate the predicted value for each observation across the distribu...
Random Effects formula only
Identify group level associated with RE quantile
Extract the standard deviation of the random effects from a merMod obj...
Simulate random effects from merMod REsim simulates random effects f...
Count the number of random effect terms
Get names of random effect terms in a model object
Parse merMod formulas
Estimate the Root Mean Squared Error (RMSE) for a lmerMod
Clean up variable names in data frames
Set up parallel environment
Launch a shiny app to explore your merMod interactively
Randomly reorder a dataframe
Remove attributes from a data.frame
Bootstrap a subset of an lme4 model
Subset a data.frame using a list of conditions
Title
Print the results of a merMod list
Create a factor with unobserved levels
Extract theta parameters from a merMod model
Extract the variances and correlations for random effects from a merMo...
Assign an observation to different values
Draw a single observation out of an object matching some criteria
Calculate the expected rank of random coefficients that account for un...
Find link function family
fastdisp: faster display of model summaries
Simulate fixed effects from merMod FEsim simulates fixed effects fro...
Extract all warning msgs from a merMod object
findFormFuns used by averageObs to calculate proper averages
Extract fixed-effects estimates for a merModList
Clean formula
Identify if a merMod has weights
Calculate the intraclass correlation using mixed effect models
Parse merMod levels
Provides methods for extracting results from mixed-effect model objects fit with the 'lme4' package. Allows construction of prediction intervals efficiently from large scale linear and generalized linear mixed-effects models. This method draws from the simulation framework used in the Gelman and Hill (2007) textbook: Data Analysis Using Regression and Multilevel/Hierarchical Models.