Reparameterized.beta: Reparameterized Beta distribution functions

In GNGTools: Tools for Go/No-Go Decision-Making Framework

Reparameterized Beta distribution functions

Description

Reparameterized Beta distribution functions

Usage

dbeta.rp(x, mean = 0.5, effective.ss = 1, ncp = 0, log = FALSE)

pbeta.rp(
  q,
  mean = 0.5,
  effective.ss = 1,
  ncp = 0,
  lower.tail = TRUE,
  log.p = FALSE
)

qbeta.rp(
  p,
  mean = 0.5,
  effective.ss = 1,
  ncp = 0,
  lower.tail = TRUE,
  log.p = FALSE
)

Arguments

x	likelihood function evaluates at point x
mean	mean
effective.ss	effective sample size
ncp	non-centrality parameter
log	as in stats::*beta
q	quantile
lower.tail	logical; if TRUE (default), probabilities are P(X < x), otherwise, P(X>x).
log.p	logical; if TRUE, probabilities p are given as log(p)
p	cumulative probability

Value

Returns density values, cumulative probabilities, quantiles and random samples from a Beta distribution.

Examples

dbeta.rp(.5, .5, 1)
pbeta.rp(.5, .5, 1)
qbeta.rp(.975, .5, 1)

GNGTools documentation built on Dec. 16, 2022, 5:09 p.m.