Package: sglg 0.2.2

Carlos Alberto Cardozo Delgado

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. Inference is based on penalized likelihood and bootstrap methods. Also, some numerical and graphical devices for diagnostic of the fitted models are offered.

Authors:Carlos Alberto Cardozo Delgado <[email protected]> and G. Paula and L. Vanegas

sglg_0.2.2.tar.gz
sglg_0.2.2.tar.gz(r-4.5-noble)sglg_0.2.2.tar.gz(r-4.4-noble)
sglg_0.2.2.tgz(r-4.4-emscripten)sglg_0.2.2.tgz(r-4.3-emscripten)
sglg.pdf |sglg.html
sglg/json (API)

# Install 'sglg' in R:
install.packages('sglg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.20 score 16 scripts 347 downloads 23 exports 83 dependencies

Last updated 2 years agofrom:05b0a801f0. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-linuxOKNov 22 2024

Exports:bootglgdeBoor2deviance_residualsdglgentropyenvelope.sglgglggnfitGulssorder_glgpglgplotnpcplotsurv.sglgqglgquantile_residualsrglgsglgshapesmoothpssurvglgsurvglgsurvival_gg

Dependencies:AdequacyModelaskpassbase64encbslibcachemclicolorspacecpp11crayoncrosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegridExtragtablehighrhmshtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemisc3dmomentsmunsellnlmeopensslpillarpkgconfigplot3DplotlypracmaprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsurvivalsysTeachingSamplingtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Bootstrap inference for a generalized log-gamma regressionbootglg
Build the basis matrix and the penalty matrix of cubic B-spline basis.deBoor2
Deviance Residuals for a Generalized Log-gamma Regression Modeldeviance_residuals
Density distribution function for a generalized log-gamma variabledglg
Tool to calculate the entropy for a generalized log-gamma distribution.entropy
envelope.sglgenvelope.sglg
Fitting multiple linear Generalized Log-gamma Regression Modelsglg
gnfitgnfit
Tool to build the basis matrix and the penalty matrix of natural cubic splines.Gu
influenceinfluence.sglg
Extract Log-LikehoodlogLik.sglg
Measures of location, scale and shape measures for a generalized log-gamma distributionlss
Random Sampling of K-th Order Statistics from a Generalized Log-gamma Distributionorder_glg
Cumulative distribution function for a generalized log-gamma variablepglg
Plotting a natural cubic splines or P-splines.plotnpc
Plot simultaneously the Kaplan-Meier and parametric estimators of the survival function.plotsurv.sglg
Quantile function for a generalized log-gamma distributionqglg
Quantile Residuals for a Generalized Log-gamma Regression Modelquantile_residuals
Extract Model Residualsresiduals.sglg
Random number generation for a generalized log-gamma distributionrglg
Fitting semi-parametric generalized log-gamma regression modelssglg
shapeshape
smoothpsmoothp
Fitting semi-parametric generalized log-gamma regression models under the presence of right censored data.ssurvglg
summary.sglgsummary.sglg
Fitting linear generalized log-gamma regression models under the presence of right censored data.survglg
Survival, Hazard, and Cumulative Hazard functions for a Generalized Gamma Distributionsurvival_gg