calc.gic: Calculates generalized information criterion
In aplantin/CSGL: Compositional Sparse Group Lasso
Description
Usage
Arguments
Value
Description
Calculates GIC as defined in Lin (2014).
Usage
1
calc.gic(Z, y, betahat, int = 0)
Arguments
Z
Matrix of log OTU proportions
y
Outcome vector
betahat
Estimated coefficient vector
int
Estimated intercept; default = 0
Value
GIC
aplantin/CSGL documentation built on May 21, 2019, 12:08 p.m.
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Description Usage Arguments Value
Description
Calculates GIC as defined in Lin (2014).
Usage
1 | calc.gic(Z, y, betahat, int = 0)
|
Arguments
Z |
Matrix of log OTU proportions |
y |
Outcome vector |
betahat |
Estimated coefficient vector |
int |
Estimated intercept; default = 0 |
Value
GIC
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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