rankest.grpglm: Estimate dimensions for a (robust) group GLM model
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
Estimate dimensions for a (robust) group GLM model
Usage
1
rankest.grpglm(X, Y, idx, family = gaussian(), method = c("glm", "rob"))
Arguments
X
the covariates
Y
the response
idx
the group assignment for each covariate
family
a glm family compatible with the chosen method.
method
one of "glm" or "rob".
Value
a list
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
Estimate dimensions for a (robust) group GLM model
Usage
1 | rankest.grpglm(X, Y, idx, family = gaussian(), method = c("glm", "rob"))
|
Arguments
X |
the covariates |
Y |
the response |
idx |
the group assignment for each covariate |
family |
a glm family compatible with the chosen method. |
method |
one of "glm" or "rob". |
Value
a list
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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