logL: Log-likelihood for multinomial regression model
In npmr: Nuclear Penalized Multinomial Regression
logL R Documentation
Log-likelihood for multinomial regression model
Description
Computes the log-likelihood of the fitted regression parameters given the data
observed. Intended for internal use only.
Usage
logL(B, b, X, Y)
Arguments
B
Regression coefficient matrix
b
Regression intercept vector
X
Covariate matrix
Y
Multinomial response matrix
Value
The log-likelihood of B and b given X and Y
Author(s)
Scott Powers, Trevor Hastie, Rob Tibshirani
See Also
nuclear, objective
npmr documentation built on Nov. 12, 2023, 1:08 a.m.
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| logL | R Documentation |
Log-likelihood for multinomial regression model
Description
Computes the log-likelihood of the fitted regression parameters given the data observed. Intended for internal use only.
Usage
logL(B, b, X, Y)
Arguments
B |
Regression coefficient matrix |
b |
Regression intercept vector |
X |
Covariate matrix |
Y |
Multinomial response matrix |
Value
The log-likelihood of B and b given X and Y
Author(s)
Scott Powers, Trevor Hastie, Rob Tibshirani
See Also
nuclear, objective
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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