rchazC: Piecewise constant hazard distribution
In mets: Analysis of Multivariate Event Times

View source: R/pch.R

rchazC

R Documentation

Piecewise constant hazard distribution

Description

Piecewise constant hazard distribution

Usage

rchazC(base1, rr, entry)

Arguments

`base1`	baseline
`rr`	relative risk terms
`entry`	entry times for left truncation

mets documentation built on May 29, 2024, 3:51 a.m.

mets index

Package overview README.md Analysis of bivariate binomial data: Twin analysis Analysis of multivariate binomial data: family analysis Analysis of multivariate survival data A practical guide to Human Genetics with Lifetime Data Average treatment effect (ATE) for Competing risks and binary outcomes Average treatment effect (ATE) for Restricted mean survival and years lost of Competing risks Binomial Regression for Survival and Competing Risks Data Cumulative Incidence Regression Discrete Interval Censored Survival Models dUtility data-frame manipulations G-Computation or standardization for the Cox, Fine-Gray and binomial regression models for survival data GEE cluster standard errors and predictions for glm objects Haplotype Discrete Survival Models Marginal modelling of clustered survival data Mediation Analysis for survival data Recurrent events Twin models

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Tweet to @rdrrHQ

GitHub issue tracker

ian@mutexlabs.com