residuals: Residuals
In santosneto/RBS: Regression models for Birnbaum-Saunders distributions
Description
Usage
Arguments
Value
Author(s)
References
Description
residuals is a function which extracts model residuals from objects returned by modeling functions.
Usage
1
residuals(model,residual = "deviance")
Arguments
model
an object for which the extraction of model residuals is meaningful.
residual
type of residual to be used ("pearson","score", "deviance" or "quantile"). Default is the deviance.
Value
Residuals extracted from the object object.
Author(s)
Manoel Santos-Neto manoel.ferreira@ufcg.edu.br, F.J.A. Cysneiros cysneiros@de.ufpe.br, Victor Leiva victorleivasanchez@gmail.com and Michelli Barros michelli.karinne@gmail.com
References
Leiva, V., Santos-Neto, M., Cysneiros, F.J.A, Barros, M. (2014) Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling, v. 14, p. 21-48, 2014.
Santos-Neto, M., Cysneiros, F.J.A., Leiva, V., Barros, M. (2016) Reparameterized Birnbaum-Saunders
regression models with varying precision. Electronic Journal of Statistics, 10, 2825–2855. doi: 10.1214/16-EJS1187.
santosneto/RBS documentation built on Feb. 5, 2021, 2:12 p.m.
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Description Usage Arguments Value Author(s) References
Description
residuals is a function which extracts model residuals from objects returned by modeling functions.
Usage
1 | residuals(model,residual = "deviance")
|
Arguments
model |
an object for which the extraction of model residuals is meaningful. |
residual |
type of residual to be used ("pearson","score", "deviance" or "quantile"). Default is the deviance. |
Value
Residuals extracted from the object object.
Author(s)
Manoel Santos-Neto manoel.ferreira@ufcg.edu.br, F.J.A. Cysneiros cysneiros@de.ufpe.br, Victor Leiva victorleivasanchez@gmail.com and Michelli Barros michelli.karinne@gmail.com
References
Leiva, V., Santos-Neto, M., Cysneiros, F.J.A, Barros, M. (2014) Birnbaum-Saunders statistical modelling: a new approach. Statistical Modelling, v. 14, p. 21-48, 2014.
Santos-Neto, M., Cysneiros, F.J.A., Leiva, V., Barros, M. (2016) Reparameterized Birnbaum-Saunders regression models with varying precision. Electronic Journal of Statistics, 10, 2825–2855. doi: 10.1214/16-EJS1187.
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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