prior: Prior Distribution Functions

In PStrata: Principal Stratification Analysis in R

Prior Distribution Functions

Description

Define prior functions used in PStrata.

Usage

prior_flat()

prior_normal(mu = 0, sigma = 1)

prior_t(mu = 0, sigma = 1, df = 1)

prior_cauchy(mu = 0, sigma = 1)

prior_lasso(mu = 0, sigma = 1)

prior_logistic(mu = 0, sigma = 1)

prior_chisq(df = 1)

prior_inv_chisq(df = 1)

prior_exponential(beta = 1)

prior_gamma(alpha = 1, beta = 1)

prior_inv_gamma(alpha = 1, beta = 1)

prior_weibull(alpha = 1, sigma = 1)

Arguments

mu, sigma, df, alpha, beta

parameters for the prior distribution

Value

A list, including the following items.

name

name of the distribution

type

type of the distribution, one character string of "real" or "positive"

args

a named list of all the input parameters

call

a function call object of the prior distribution on the parameters

Examples

prior_flat()
prior_normal(0, 10)
prior_t(0, 2.5, df = 3)
prior_cauchy(0, 5)
prior_inv_gamma(2, 1)

PStrata documentation built on May 14, 2026, 5:06 p.m.