LogLikelihood: Log-Likelihood
In benkeser/survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings
View source: R/LogLikelihood.R
LogLikelihood R Documentation
Log-Likelihood
Description
Computes the log-likelihood for a model. Used by
optim on occasion.
Usage
LogLikelihood(beta, X, Y)
Arguments
beta
A vector of coefficients in a logistic GLM.
X
The design matrix.
Y
The outcome.
Value
Numeric of the summed negative log-likelihood loss over
observations.
benkeser/survtmle documentation built on Nov. 23, 2023, 4:45 a.m.
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View source: R/LogLikelihood.R
| LogLikelihood | R Documentation |
Log-Likelihood
Description
Computes the log-likelihood for a model. Used by
optim on occasion.
Usage
LogLikelihood(beta, X, Y)
Arguments
beta |
A vector of coefficients in a logistic GLM. |
X |
The design matrix. |
Y |
The outcome. |
Value
Numeric of the summed negative log-likelihood loss over observations.
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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