lik.flexsurvreg.mtc: Likelihood function for a psc model of class 'flexsurv' with...

In psc: Personalised Synthetic Controls

Likelihood function for a psc model of class 'flexsurv' with multiple treatment comparisons

Description

A function which defines the likelihood for a PSC model where the Counter Factual Model (CFM) takes the form of a 'flexsurvreg' object and a mulitple efficacy parameters (\beta) is being estimated. For more details on fitting please see ?pscfit and ?pscEst

Usage

lik.flexsurvreg.mtc(beta, DC_clean)

Arguments

beta	a parameter to be estimate
DC_clean	a cleaned dataset including covariates to match the CFM

Details

A likelihood function for use by pscfit for a model of class 'flexsurvreg' where multiple treatment comparisons are required

psc documentation built on June 8, 2025, 10:16 a.m.