pscEst.glm: Function for estimating initial parameter values...
In psc: Personalised Synthetic Controls
pscEst.glm R Documentation
Function for estimating initial parameter values 'flexsurvreg'
Description
A function which performs the Bayesian MCMC estimation procedure for
estimating the efficacy parameter (\beta) using personalised sunthetic
controls methodology.
Usage
## S3 method for class 'glm'
pscEst(CFM, DC_clean, nsim, start, start.se, trt = trt)
Arguments
CFM
a model object supplied to pscfit
DC_clean
a cleaned dataset ontained using dataComb().
nsim
the number of MCMC simulations to run
start
the stating value for
start.se
the stating value fo
trt
an optional vector denoting treatment allocations where multiple
treatment comparisons are being made
Details
An MCMC routine for fitting a psc model
Value
a matrix containing the draws form the posterior distribution
psc documentation built on June 8, 2025, 10:16 a.m.
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| pscEst.glm | R Documentation |
Function for estimating initial parameter values 'flexsurvreg'
Description
A function which performs the Bayesian MCMC estimation procedure for
estimating the efficacy parameter (\beta) using personalised sunthetic
controls methodology.
Usage
## S3 method for class 'glm'
pscEst(CFM, DC_clean, nsim, start, start.se, trt = trt)
Arguments
CFM |
a model object supplied to pscfit |
DC_clean |
a cleaned dataset ontained using dataComb(). |
nsim |
the number of MCMC simulations to run |
start |
the stating value for |
start.se |
the stating value fo |
trt |
an optional vector denoting treatment allocations where multiple treatment comparisons are being made |
Details
An MCMC routine for fitting a psc model
Value
a matrix containing the draws form the posterior distribution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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