report (version 0.1.0)

model_values.lm: Linear Models Values

Description

Extract all values of linear models.

Usage

# S3 method for lm
model_values(model, ci = 0.95, standardize = "refit",
  standardize_robust = FALSE, effsize = "cohen1988",
  performance_in_table = TRUE, performance_metrics = "all",
  bootstrap = FALSE, iterations = 500, ...)

Arguments

model

Object of class lm.

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.

iterations

The number of bootstrap replicates. This only apply in the case of bootsrapped frequentist models.

...

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