log_part_B_g: The first order gradient of log-partation function of...
In YipengUva/RpESCA: R implementaion of pESCA models with various concave penalties
Description
Usage
Arguments
Value
Examples
Description
This function define first order gradient of the log-partation function
of Bernoulli distribution. The formula is
log_part_B_g(Theta) = exp(Theta)/(1+exp(Theta)).
Details can be found in https://arxiv.org/abs/1902.06241.
Usage
1
log_part_B_g(Theta)
Arguments
Theta
a matrix of natural parameter
Value
value of the first order gradient
Examples
1
## Not run: log_part_B_g(matrix(0:9,2,5))
YipengUva/RpESCA documentation built on July 2, 2019, 6:41 p.m.
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Description Usage Arguments Value Examples
Description
This function define first order gradient of the log-partation function
of Bernoulli distribution. The formula is
log_part_B_g(Theta) = exp(Theta)/(1+exp(Theta)).
Details can be found in https://arxiv.org/abs/1902.06241.
Usage
1 | log_part_B_g(Theta)
|
Arguments
Theta |
a matrix of natural parameter |
Value
value of the first order gradient
Examples
1 | ## Not run: log_part_B_g(matrix(0:9,2,5))
|
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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