Summary Method for Object of Class metadynmeta — summary.metadynmeta • metaDyn

Summary Method for Object of Class metadynmeta

Usage

# S3 method for class 'metadynmeta'
summary(
  object,
  alpha = NULL,
  ci_type = "wald",
  robust = NULL,
  nrep = 1000L,
  seed = NULL,
  ncores = NULL,
  digits = 4,
  ...
)

Arguments

object: an object of class metadynmeta.
alpha: Numeric vector. Significance level \(\alpha\). If NULL, the function will check object for alpha used in model fitting.
ci_type: Character string. Valid values are "wald" and "mc".
robust: Logical. If TRUE, use robust (sandwich) sampling variance-covariance matrix. If FALSE, use normal theory sampling variance-covariance matrix. If NULL, the function will check object if robust standard errors are available.
nrep: Positive integer. Number of replications for ci_type = "mc".
seed: Random seed for ci_type = "mc".
ncores: Positive integer. Number of cores to use for ci_type = "mc".
digits: Integer indicating the number of decimal places to display.
...: further arguments.

Value

Returns a matrix of estimates, standard errors, test statistics, degrees of freedom, p-values, and confidence intervals.

Author

Ivan Jacob Agaloos Pesigan