initParm.glm: Fucntion for estimating initial parameter values
In psc: Personalised Synthetic Controls
initParm.glm R Documentation
Fucntion for estimating initial parameter values
Description
Fucntion for estimating initial parameter values
Usage
## S3 method for class 'glm'
initParm(CFM, DC_clean, trt = 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.glm | R Documentation |
Fucntion for estimating initial parameter values
Description
Fucntion for estimating initial parameter values
Usage
## S3 method for class 'glm'
initParm(CFM, DC_clean, trt = 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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