regression_coeff: Regression Coefficients

In dr-JT/resultsoutput: Get full output from statistical models in nice looking tables

Regression Coefficients

Usage

regression_coeff(
  x,
  y = NULL,
  z = NULL,
  standardized = TRUE,
  unstandardized = TRUE,
  ci_level = 0.95,
  ci_method = NULL,
  bootstrap = FALSE,
  iterations = NULL,
  effects = "all",
  digits = 3,
  print = TRUE
)

Arguments

x	a model object
y	a model object
z	a model object
standardized	Logical, indicating whether or not to print standardized estimates. Standardized estimates are based on "refit" of the model on standardized data but it will not standardize categorical predictors. Defualt is TRUE.
unstandardized	Logical, indicating whether or not to print unstandardized estimates. Default is TRUE.
ci_level	Confidence Interval (CI) level. Default to 0.95 (95 \item ci_methodDocumention based on ?parameters::parameters. Method for computing degrees of freedom for confidence intervals (CI) and the related p-values. Allowed are following options (which vary depending on the model class): "residual", "normal", "likelihood", "satterthwaite", "kenward", "wald", "profile", "boot", "uniroot", "ml1", "betwithin", "hdi", "quantile", "ci", "eti", "si", "bci", or "bcai". See section Confidence intervals and approximation of degrees of freedom in model_parameters() for further details. When ci_method=NULL, in most cases "wald" is used then. \item bootstrapDocumention based on ?parameters::parameters. Should estimates be based on bootstrapped model? If TRUE, then arguments of Bayesian regressions apply (see also bootstrap_parameters()). \item iterationsDocumention based on ?parameters::parameters. The number of bootstrap replicates. This only apply in the case of bootstrapped frequentist models. \item effects"fixed" or "all" fixed and random effects. default is "all" \item digitsHow many decimal places to round to? Default is 3. \item printCreate a knitr table for displaying as html table? (default = TRUE)

Displays a table for regression coefficients. Multiple models can be added (x, y, and z).

dr-JT/resultsoutput documentation built on Jan. 4, 2024, 9:09 a.m.