compute_res_deviance: Deviance Residuals for Poisson GLM
In WH: Enhanced Implementation of Whittaker-Henderson Smoothing
compute_res_deviance R Documentation
Deviance Residuals for Poisson GLM
Description
Deviance Residuals for Poisson GLM
Usage
compute_res_deviance(D, D_hat)
Arguments
D
Vector or matrix containing the number of observed events
D_hat
Vector or matrix containing the number of predicted events
Value
A vector or matrix (depending on the input type, will be a matrix
if at least one of the input is) containing the deviance residuals
WH documentation built on Sept. 11, 2024, 9:12 p.m.
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| compute_res_deviance | R Documentation |
Deviance Residuals for Poisson GLM
Description
Deviance Residuals for Poisson GLM
Usage
compute_res_deviance(D, D_hat)
Arguments
D |
Vector or matrix containing the number of observed events |
D_hat |
Vector or matrix containing the number of predicted events |
Value
A vector or matrix (depending on the input type, will be a matrix if at least one of the input is) containing the deviance residuals
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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