sglg: Fitting Semi-Parametric Generalized log-Gamma Regression Models
Set of tools to fit a linear multiple or semi-parametric regression
models with the possibility of non-informative random right-censoring.
Under this setup, the localization parameter of the response variable distribution is modeled by using linear multiple regression
or semi-parametric functions, whose non-parametric components may be approximated
by natural cubic spline or P-splines. The supported distribution for the model error is a generalized log-gamma distribution which includes
the generalized extreme value and standard normal distributions as important special cases.
Also, some numerical and graphical devices for diagnostic of the fitted models are offered.
| Version: |
0.2.1 |
| Depends: |
R (≥ 3.1.0) |
| Imports: |
Formula, survival, methods, stats, AdequacyModel, ggplot2, plotly, moments, gridExtra, pracma, progress, Rcpp, plot3D, magrittr, TeachingSampling |
| Suggests: |
testthat |
| Published: |
2022-02-21 |
| Author: |
Carlos Alberto Cardozo Delgado and G. Paula and L. Vanegas |
| Maintainer: |
Carlos Alberto Cardozo Delgado <cardozorpackages at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| In views: |
Distributions |
| CRAN checks: |
sglg results |
Documentation:
Downloads:
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