GFLlogit1: Coordinate optimization for GFL logistic regression
In ohishim/GFLlogit: Coordinate descent algorithm of generalized fused Lasso logistic regression for multivariate trend filtering
GFLlogit1 R Documentation
Coordinate optimization for GFL logistic regression
Description
GFLlogit1 This function is used in the function "GFLlogit"
Usage
GFLlogit1(m, y, lambda, w, z)
Arguments
m
natural value
y
natural value (y < m)
lambda
positive value
w
vector of positive values
z
vector which are all distinct values
Value
the minimizer
Examples
#GFLlogit1(m, y, labmda, w, z)
ohishim/GFLlogit documentation built on Feb. 6, 2023, 9 p.m.
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| GFLlogit1 | R Documentation |
Coordinate optimization for GFL logistic regression
Description
GFLlogit1 This function is used in the function "GFLlogit"
Usage
GFLlogit1(m, y, lambda, w, z)
Arguments
m |
natural value |
y |
natural value (y < m) |
lambda |
positive value |
w |
vector of positive values |
z |
vector which are all distinct values |
Value
the minimizer
Examples
#GFLlogit1(m, y, labmda, w, z)
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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