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

View source: R/pch.R

rpch	R Documentation

Piecewise constant hazard distribution

Description

Piecewise constant hazard distribution

Usage

rpch(n, lambda = 1, breaks = c(0, Inf))

Arguments

`n`	sample size
`lambda`	rate parameters
`breaks`	time cut-points

mets documentation built on June 8, 2025, 1:24 p.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 Two-Stage Randomization for Cox Type rate models Two-Stage Randomization for for Competing risks and Survival outcomes While Alive estimands for Recurrent Events WIP: Cooking survival data, 5 minute recipes

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