remef-package: 'remef' removes effects
In hohenstein/remef: Remove Partial Effects
Description
remef can be used to remove partial effects from variables used in
statistical models.
Details
Mixed-effetcs models include both fixed and random effects. The dependent
variable is expressed as a combination of fixed and random effects and an
error term. remef is a practical tool for removing any combiantion
of fixed and random effects from the data. The removal of effects is very
helpful for understanding and visualizing certain effects in highly
complex statistical models. The package works with merMod objects
generated by the package lme4. For more details on mixed-effects
models and partial effects, have a look at the documentation of the
function partial.
hohenstein/remef documentation built on Jan. 26, 2020, 12:57 a.m.
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Description
remef can be used to remove partial effects from variables used in
statistical models.
Details
Mixed-effetcs models include both fixed and random effects. The dependent
variable is expressed as a combination of fixed and random effects and an
error term. remef is a practical tool for removing any combiantion
of fixed and random effects from the data. The removal of effects is very
helpful for understanding and visualizing certain effects in highly
complex statistical models. The package works with merMod objects
generated by the package lme4. For more details on mixed-effects
models and partial effects, have a look at the documentation of the
function partial.
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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