probitLikelihood: Calculate Likelihood of Probit Model
In difuture-lmu/dsROCGLM: ROC and calibration analysis for DataSHIELD
View source: R/roc_glm_parts.R
probitLikelihood R Documentation
Calculate Likelihood of Probit Model
Description
This function calculates the likelihood used in a probit regression
(Bernoulli distribution + probit link).
Usage
probitLikelihood(y, X, beta, w = NULL)
Arguments
y
Original 0-1-response
X
Design matrix
beta
Estimated parameter vector
w
Weight vector
Value
Numeric value containing the likelihood
Author(s)
Stefan B., Daniel S.
difuture-lmu/dsROCGLM documentation built on March 24, 2024, 1:07 p.m.
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View source: R/roc_glm_parts.R
| probitLikelihood | R Documentation |
Calculate Likelihood of Probit Model
Description
This function calculates the likelihood used in a probit regression (Bernoulli distribution + probit link).
Usage
probitLikelihood(y, X, beta, w = NULL)
Arguments
y |
Original 0-1-response |
X |
Design matrix |
beta |
Estimated parameter vector |
w |
Weight vector |
Value
Numeric value containing the likelihood
Author(s)
Stefan B., Daniel S.
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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