absz.density.ratio: Perform kernel estimates of two densities of absolute...

In skranz/RoundingMatters: Tools for adjusting for rounding problems in metastudies about p-hacking and publication bias

Description

Add by default bootstrap standard errors and confidence intervals

Usage

absz.density.ratio(
  z.num,
  z.denom,
  at,
  bootstrap = TRUE,
  B = 1000,
  ci.level = 0.95,
  bw = 0.1,
  kernel = "epanechnikov",
  return.as = c("long", "wide")[1],
  weights.num = NULL,
  weights.denom = NULL,
  ...
)

Arguments

z.num	observed z-statistics forming numerator density
z.denom	observed z-statistics forming denominator density
at	position where density shall be evaluated
bootstrap	if TRUE add bootstrap SE and CI for all measures
B	number of bootstrap repetitions
ci.level	Confidence level. Default 0.95.
weights.num	weights for z.num (optional)
weights.denom	weights for z.denom (optional)
...	arguments for absz.density

skranz/RoundingMatters documentation built on Dec. 23, 2021, 3:23 a.m.