pscEst_start: Starting conditions for Bayesian MCMC estimation procedures...

In psc: Personalised Synthetic Controls

Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which sets the starting conditions for MCMC estimation

Description

Starting conditions for Bayesian MCMC estimation procedures in 'pscfit' A procedure which sets the starting conditions for MCMC estimation

Usage

pscEst_start(pscOb, nsim, nchain)

Arguments

pscOb	an pscOb object which has been passed through pscData() and init() functions
nsim	the number of MCMC simulations to run
nchain	Number of chains to use for analysis

Details

A procedure which sets the starting conditions for MCMC estimation including defining starting estimates, setting a matrix for draws to be save in and defining, target and prior distributions and deifnign the posterior desitribution from the CFM. This also sets the number of cores to be used for estimation where parallel computing is applied.

Value

An updated set of attributes for the pscOb which includes

Examples

e4_data <- psc::e4_data
gemCFM <- psc::gemCFM
pscOb <- pscData(gemCFM,e4_data)
pscOb <- init(pscOb)
pscOb <- pscEst_start(pscOb,nsim=1000,nchain=2)

psc documentation built on June 8, 2026, 5:06 p.m.