logitlik.fun: Calculate log-likelihood for logistic regression.
In michaelyanwang/divideconquer: Divide-and-conquer adaptive lasso using least square approximation
Description
logitlik.fun evaluates log-likelihood for logistic regression.
Usage
1
logitlik.fun(bet.mat, dat)
Arguments
bet.mat
is the beta matrix for evaluation
dat
is the dataset
michaelyanwang/divideconquer documentation built on Aug. 16, 2019, 10:11 a.m.
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Description
logitlik.fun evaluates log-likelihood for logistic regression.
Usage
1 | logitlik.fun(bet.mat, dat)
|
Arguments
bet.mat |
is the beta matrix for evaluation |
dat |
is the dataset |
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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