mlm_assumptions: Reports the output of testing all assumptions for a...
In mlmtools: Multi-Level Model Assessment Kit
View source: R/mlm_assumptions.R
mlm_assumptions R Documentation
Reports the output of testing all assumptions for a multilevel model
Description
Reports the results from testing all assumptions of a multilevel model and provides suggestions if an assumption is not passed
Usage
mlm_assumptions(model)
Arguments
model
A linear mixed-effects model of class lmerMod, lmerModLmerTest, or glmerMod of type binomial.
Value
Tests the relevant assumptions of the specified multilevel model.
References
Glaser, R. E. (2006). Levene’s Robust Test of Homogeneity of Variances. Encyclopedia of Statistical Sciences. 6.
Examples
# Read in data
data(instruction)
# Create model
mod <- lme4::lmer(mathgain ~ mathkind + (1 | classid), data = instruction)
# Evaluate assumptions
mlm_assumptions(mod)
mlmtools documentation built on Oct. 26, 2022, 9:05 a.m.
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View source: R/mlm_assumptions.R
| mlm_assumptions | R Documentation |
Reports the output of testing all assumptions for a multilevel model
Description
Reports the results from testing all assumptions of a multilevel model and provides suggestions if an assumption is not passed
Usage
mlm_assumptions(model)
Arguments
model |
A linear mixed-effects model of class lmerMod, lmerModLmerTest, or glmerMod of type binomial. |
Value
Tests the relevant assumptions of the specified multilevel model.
References
Glaser, R. E. (2006). Levene’s Robust Test of Homogeneity of Variances. Encyclopedia of Statistical Sciences. 6.
Examples
# Read in data data(instruction) # Create model mod <- lme4::lmer(mathgain ~ mathkind + (1 | classid), data = instruction) # Evaluate assumptions mlm_assumptions(mod)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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