fmrs-package: Variable Selection in Finite Mixture of AFT Regression and...
In fmrs: Variable Selection in Finite Mixture of AFT Regression and FMR
Description
fmrs methods
fmrs objects
Description
Provides parameter estimation and variable selection in
FMRs models. The
fmrs.mle method provides Maximum Likelihood Estimation
for FMRs models. The fmrs.tunsel method provides
component-wise tuning parameters. The fmrs.varsel
method provides variable selection for FMRs models.
fmrs methods
fmrs.mle,
fmrs.tunsel,
fmrs.varsel,
fmrs.gendata.
fmrs objects
fmrsfit-class,
fmrstunpar-class
fmrs documentation built on Nov. 8, 2020, 5:50 p.m.
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Description fmrs methods fmrs objects
Description
Provides parameter estimation and variable selection in
FMRs models. The
fmrs.mle method provides Maximum Likelihood Estimation
for FMRs models. The fmrs.tunsel method provides
component-wise tuning parameters. The fmrs.varsel
method provides variable selection for FMRs models.
fmrs methods
fmrs.mle,
fmrs.tunsel,
fmrs.varsel,
fmrs.gendata.
fmrs objects
fmrsfit-class,
fmrstunpar-class
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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