lodds: Logit (log-odds) and inverse-logit function.

In OncoBayes2: Bayesian Logistic Regression for Oncology Dose-Escalation Trials

Logit (log-odds) and inverse-logit function.

Description

Calculates the logit (log-odds) and inverse-logit.

Usage

logit(mu)

inv_logit(eta)

Arguments

mu	A numeric object with probabilies, with values in the in the range [0,1]. Missing values (NAs) are allowed.
eta	A numeric object with log-odds values, with values in the range [-Inf,Inf]. Missing values (NAs) are allowed.

Details

Values of mu equal to 0 or 1 will return -Inf or Inf respectively.

Value

A numeric object of the same type as mu and eta containing the logits or inverse logit of the input values. The logit and inverse transformation equates to

\text{logit}(\mu) = \log(\mu/(1-\mu))

\text{logit}^{-1}(\eta)= \exp(\eta)/(1 + \exp(\eta)).

Examples

logit(0.2)
inv_logit(-1.386)

OncoBayes2 documentation built on April 11, 2025, 5:42 p.m.