initParm: Fucntion for estimating initial parameter values...
In psc: Personalised Synthetic Controls
initParm R Documentation
Fucntion for estimating initial parameter values 'flexsurvreg'
Description
A generic function for estimating the initial parameters for estimation as part
of the pscfti.R function. Parameter estimates are obtained using standard
optomisation methods provided by the 'optim' set of functions. For a single
parameter a Brent method is applied. For mutliple treatment comparisons the
'BFGS' method is applied.
Usage
initParm(CFM, DC_clean, trt)
Arguments
CFM
A counter-factual model
DC_clean
a cleaned dataset obsect obtained using dataComb.flexsurvreg
trt
An optional additional vector denoting treatment allocations for multiple treatment comparisons. Defaults to 'NULL'
Details
This function takes the liklihood for a 'flexsurvreg' model and uses 'optim'
to fit the likelihood.
Value
an 'optim' output giving the parameter values to be supplied as a
starting value for the mcmc routine.
psc documentation built on June 8, 2025, 10:16 a.m.
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| initParm | R Documentation |
Fucntion for estimating initial parameter values 'flexsurvreg'
Description
A generic function for estimating the initial parameters for estimation as part of the pscfti.R function. Parameter estimates are obtained using standard optomisation methods provided by the 'optim' set of functions. For a single parameter a Brent method is applied. For mutliple treatment comparisons the 'BFGS' method is applied.
Usage
initParm(CFM, DC_clean, trt)
Arguments
CFM |
A counter-factual model |
DC_clean |
a cleaned dataset obsect obtained using dataComb.flexsurvreg |
trt |
An optional additional vector denoting treatment allocations for multiple treatment comparisons. Defaults to 'NULL' |
Details
This function takes the liklihood for a 'flexsurvreg' model and uses 'optim' to fit the likelihood.
Value
an 'optim' output giving the parameter values to be supplied as a starting value for the mcmc routine.
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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