PD: Dose response calculation for binomial regression models

In kkholst/lava: Latent Variable Models

Dose response calculation for binomial regression models

Description

Dose response calculation for binomial regression models

Usage

PD(
  model,
  intercept = 1,
  slope = 2,
  prob = NULL,
  x,
  level = 0.5,
  ci.level = 0.95,
  vcov,
  family,
  EB = NULL
)

Arguments

model	Model object or vector of parameter estimates
intercept	Index of intercept parameters
slope	Index of intercept parameters
prob	Index of mixture parameters (only relevant for zibreg models)
x	Optional weights length(x)=length(intercept)+length(slope)+length(prob)
level	Probability at which level to calculate dose
ci.level	Level of confidence limits
vcov	Optional estimate of variance matrix of parameter estimates
family	Optional distributional family argument
EB	Optional ratio of treatment effect and adverse effects used to find optimal dose (regret-function argument)

Author(s)

Klaus K. Holst

kkholst/lava documentation built on Feb. 22, 2024, 4:07 p.m.