pkg-internal: Internal Functions
In MGLM: Multivariate Response Generalized Linear Models
internals R Documentation
Internal Functions
Description
These functions are for internal use only or not yet documented.
Usage
dmultn(X,Y,B1, weight)
glm.private(Y, start=NULL, weights, X, family)
matrix_threshold(X, lambda, penalty)
lsq_thresholding(b, lambda)
svt(b, lambda)
objfun(alpha, x, y, d, p)
objfun.grad(alpha, x, y, d, p)
objfun.hessian(alpha, x, y, d, p)
MGLM.loss(Y, X, beta, dist, weight, regBeta = FALSE, Beta)
Author(s)
Yiwen Zhang and Hua Zhou
MGLM documentation built on April 14, 2022, 1:07 a.m.
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| internals | R Documentation |
Internal Functions
Description
These functions are for internal use only or not yet documented.
Usage
dmultn(X,Y,B1, weight) glm.private(Y, start=NULL, weights, X, family) matrix_threshold(X, lambda, penalty) lsq_thresholding(b, lambda) svt(b, lambda) objfun(alpha, x, y, d, p) objfun.grad(alpha, x, y, d, p) objfun.hessian(alpha, x, y, d, p) MGLM.loss(Y, X, beta, dist, weight, regBeta = FALSE, Beta)
Author(s)
Yiwen Zhang and Hua Zhou
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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