Confidence Intervals for the Parameter Estimates

Usage

# S3 method for class 'metadynmeta'
confint(
  object,
  parm = NULL,
  level = 0.95,
  ci_type = "wald",
  robust = NULL,
  nrep = 1000L,
  seed = NULL,
  ncores = NULL,
  ...
)

Arguments

object: an object of class metadynmeta.
parm: a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
level: the confidence level required.
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".
...: further arguments.

Value

Returns a matrix of confidence intervals.

Author

Ivan Jacob Agaloos Pesigan