pw: CDF of W
In eyanchenko/r2d2glmm: Implements Methods from Yanchenko and Reich (2021+)

pw	R Documentation

CDF of W

Description

This function computes the value of the distribution function of W induced by a Beta(a,b) prior on R2 for arbitrary link function

Usage

pw(
  w,
  a = 1,
  b = 1,
  b0 = 0,
  link = c("Gaussian", "Logistic", "Poisson", "Poisson_offsets", "ZIP", "NegBinom",
    "Arbitrary"),
  theta = 1,
  mu,
  sigma2,
  disp = FALSE
)

Arguments

`w`	vector of quantiles
`a`	value of a for prior R2~Beta(a,b)
`b`	value of b for prior R2~Beta(a,b)
`b0`	value of beta0
`link`	link function used to compute R2. Default options are "Gaussian", "Logistic", "Poisson", "Poisson_offsets", "ZIP" and "NegBinom". Also can have user-inputted link function using "Arbitrary".
`theta`	dispersion parameter (if necessary)
`mu`	if link="Arbitrary", then this is the mean function of the linear predictor. May depend on theta
`sigma2`	if link="Arbitrary", then this is the variance function of the linear predictor. May depend on theta
`disp`	logical. TRUE if arbitrary link function depends on a dispersion parameter