modeLLtest: modeLLtest Overview
In ShanaScogin/modeLLtest: Compare Models with Cross-Validated Log-Likelihood
modeLLtest R Documentation
modeLLtest Overview
Description
modeLLtest has three main functions to implement cross validated log likelihood
tests. To use this package, decide which specification(s) of a model
and distributions you wish compare. The function cvdm()
compares the fits of one model specification between a median
regression and ordinary least squares. The function cvmf() compares between
the fits of one model specification between two estimations of a Cox model.
The function cvll() extracts the leave-one-out cross-validated log-likelihoods
from a method of estimating a formula.
ShanaScogin/modeLLtest documentation built on May 8, 2022, 9:17 a.m.
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| modeLLtest | R Documentation |
modeLLtest Overview
Description
modeLLtest has three main functions to implement cross validated log likelihood tests. To use this package, decide which specification(s) of a model and distributions you wish compare. The function cvdm() compares the fits of one model specification between a median regression and ordinary least squares. The function cvmf() compares between the fits of one model specification between two estimations of a Cox model. The function cvll() extracts the leave-one-out cross-validated log-likelihoods from a method of estimating a formula.
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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