Deprecated: Deprecated functions

In braunm/bayesGDS: Scalable Rejection Sampling for Bayesian Hierarchical Models

Description

These functions were in earlier versions, but will no longer be maintained in this package. They will likely be moved to another package a some time.

Usage

vech(M)

inv.vech(y)

logit(p)

inv.logit(x)

log_inv.logit(x)

Arguments

M	a matrix
y	A vector of conforming length
p	A scalar, vector or matrix, where each element is between 0 and 1.
x	A scalar, vector or matrix

Value

A vector containing the lower triangle of M, ordered column-wise.

A k x k lower triangular matrix

result = log(p/(1-p))

result = exp(x)/(1+exp(x))

result = log[exp(x)/(1+exp(x))]

braunm/bayesGDS documentation built on May 13, 2019, 2:31 a.m.