lme_model_explore: Exploratory Linear Mixed Effect Model Table

In jasonmoy28/psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R

Exploratory Linear Mixed Effect Model Table

Description

Exploratory analyses for linear regression models with multiple response, predictor, and two-way interaction variables. (lmer models). At the moment, multi-categorical variables are not supported as predictors or interactions (but control is fine). Binary variable should be numeric instead of factor This function also do not supports changing random slopes.

Usage

lme_model_explore(
  ...,
  data,
  response_variable,
  predictor_variable,
  two_way_interaction_variable = NULL,
  three_way_interaction_variable = NULL,
  random_effect,
  control_variable = NULL,
  marginal_alpha = 0.1,
  return_result = FALSE,
  print_control = FALSE,
  verbose = TRUE,
  show_p = TRUE,
  show_formula = FALSE
)

Arguments

...	additional parameters pass to lme4::lmer()
data	data.frame
response_variable	Response variable. Support dplyr::select() syntax.
predictor_variable	Pred variable. Support dplyr::select() syntax.
two_way_interaction_variable	Two-way interaction variable. Each two-way interaction variable will interact with each pred variable. Support dplyr::select() syntax.
three_way_interaction_variable	Three-way interaction variable. Each three-way interaction variable will interact with each pred and two-way interaction variables. Support dplyr::select() syntax.
random_effect	The random-effects terms in the format of ⁠(|)⁠. See lm4::lmer for specifics.
control_variable	Control variables. Support dplyr::select() syntax.
marginal_alpha	Set marginal_alpha level for marginally significant (denoted by .). Set to 0.05 if do not want marginally significant denotation.
return_result	Default is FALSE. If TRUE, it returns the model estimates as a data frame.
print_control	Default is FALSE. If TRUE, print coefficients of control variables.
verbose	Default is TRUE. Set to FALSE to suppress outputs
show_p	Default is TRUE. When TRUE, show the p-value in parenthesis.
show_formula	Default is FALSE. Set to TRUE to show the formula.

Value

data.frame

Examples

lme_model_explore(data = popular,
                  response_variable = c(popular,extrav),
                  predictor_variable = c(texp),
                  two_way_interaction_variable = sex,
                  random_effect = '(1 | class)')

jasonmoy28/psycModel documentation built on Sept. 6, 2024, 11:45 a.m.