report (version 0.1.0)

model_values.lmerMod: Mixed Models Values

Description

Extract all values of mixed models.

Usage

# S3 method for lmerMod
model_values(model, ci = 0.95, standardize = "refit",
  standardize_robust = FALSE, effsize = "cohen1988",
  performance_in_table = TRUE, performance_metrics = "all",
  bootstrap = FALSE, p_method = "wald", ci_method = "wald", ...)

Arguments

model

Mixed model.

ci

Confidence Interval (CI) level. Default to 0.95 (95%).

standardize

Add standardized parameters. Can be FALSE or a character indicating the standardization method (see standardize_parameters).

standardize_robust

Robust standardization. See standardize_parameters.

effsize

Interpret the standardized parameters using a set of rules. Can be "cohen1988" (default for linear models), "chen2010" (default for logistic models), "sawilowsky2009", NULL, or a custom set of rules.

performance_in_table

Add performance metrics in table.

performance_metrics

See model_performance.

bootstrap

Should estimates be based on bootsrapped model? If TRUE, then arguments of Bayesian regressions apply.

p_method

Method for computing p values. See p_value.

ci_method

Method for computing confidence intervals (CI). See ci.

...

Arguments passed to or from other methods (e.g., to standardize).

Examples

# NOT RUN {
model <- circus::lmerMod_1
# }
# NOT RUN {
# }