R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
sglg
View on CRAN: Click
here
Download and install sglg package within the R console
Install from CRAN:
install.packages("sglg")
Install from Github:
library("remotes")
install_github("cran/sglg") Install by package version:
library("remotes")
install_version("sglg", "0.2.7") Attach the package and use:
library("sglg")
Maintained by
Carlos Alberto Cardozo Delgado
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-09-22
Latest Update: 2022-09-04
Description:
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.
How to cite:
Carlos Alberto Cardozo Delgado (2017). sglg: Fitting Semi-Parametric Generalized log-Gamma Regression Models. R package version 0.2.7, https://cran.r-project.org/web/packages/sglg. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:03), 0.1.0 (2017-09-22 10:36), 0.1.1 (2017-11-13 18:40), 0.1.2 (2017-12-05 22:55), 0.1.3 (2018-04-15 16:10), 0.1.4 (2019-02-20 21:40), 0.1.5 (2019-07-19 06:30), 0.1.6 (2020-04-25 16:40), 0.1.7 (2020-09-19 15:30), 0.1.8 (2020-12-01 01:30), 0.1.9 (2021-01-24 17:50), 0.1.10 (2021-09-18 06:30), 0.2.0 (2021-10-11 15:20), 0.2.1 (2022-02-21 16:20), 0.2.2 (2022-09-04 05:50), 0.2.3 (2025-11-27 21:00), 0.2.4 (2025-12-09 19:10), 0.2.5 (2025-12-19 02:10), 0.2.6 (2026-01-14 21:50)
Other packages that cited sglg R package
View sglg citation profile
Other R packages that sglg depends,
imports, suggests or enhances
Complete documentation for sglg
Functions, R codes and Examples using
the sglg R package
Some associated functions: Gu . bootglg . deBoor2 . deviance_residuals . dglg . entropy . envelope.sglg . glg . gnfit . influence.sglg . logLik.sglg . lss . order_glg . pglg . plotnpc . plotsurv.sglg . qglg . quantile_residuals . residuals.sglg . rglg . sglg . shape . smoothp . ssurvglg . summary.sglg . survglg . survival_gg .
Some associated R codes: Gu.R . aux_fs.R . blockgs.R . bootglg.R . deBoor2.R . deviance_residuals.R . dglg.R . entropy.R . envelope.sglg.R . glg.R . gnfit.R . influence.sglg.R . kmpar.R . logLik.sglg.R . lss.R . order_glg.R . pglg.R . plot.npc.R . qglg.R . quantile_residuals.R . residuals.sglg.R . rglg.R . sglg.R . shape.R . smooth_parameters.R . ssurvglg.R . summary.sglg.R . survglg.R . survival_glg.R . Full sglg package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
blandr
Carries out Bland Altman analyses (also known as a Tukey
mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Deepankar Datta (view profile)
skewlmm
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Fernanda L. Schumacher (view profile)
splm
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Millo (view profile)
plaqr
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Maidman (view profile)
PairedData
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stephane Champely (view profile)
28,905
R Packages
247,686
Dependencies
76,495
Author Associations
28,906
Publication Badges
