deviance_gaussian: Deviance computations as used in mfp in stata
In mfp2: Multivariable Fractional Polynomial Models with Extensions
View source: R/model_metrics.R
deviance_gaussian R Documentation
Deviance computations as used in mfp in stata
Description
Deviance computations as used in mfp in stata
Usage
deviance_gaussian(rss, weights, n)
Arguments
rss
residual sum of squares.
weights
numeric vector of weights used in computation of rss.
n
number of observations used to compute rss.
Details
Note that this is not the usual formula of deviance used in R, but
uses the formula found here https://www.stata.com/manuals/rfp.pdf.
It can be applied for normal error models, but should not be used for other
kinds of glms.
Value
A numeric value representing the deviance of a Gaussian model.
mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.
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View source: R/model_metrics.R
| deviance_gaussian | R Documentation |
Deviance computations as used in mfp in stata
Description
Deviance computations as used in mfp in stata
Usage
deviance_gaussian(rss, weights, n)
Arguments
rss |
residual sum of squares. |
weights |
numeric vector of weights used in computation of |
n |
number of observations used to compute |
Details
Note that this is not the usual formula of deviance used in R, but uses the formula found here https://www.stata.com/manuals/rfp.pdf.
It can be applied for normal error models, but should not be used for other kinds of glms.
Value
A numeric value representing the deviance of a Gaussian model.
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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