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
qgam
View on CRAN: Click
here
Download and install qgam package within the R console
Install from CRAN:
install.packages("qgam")
Install from Github:
library("remotes")
install_github("cran/qgam")
Install by package version:
library("remotes")
install_version("qgam", "1.3.4")
Attach the package and use:
library("qgam")
Maintained by
Matteo Fasiolo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-29
Latest Update: 2021-11-22
Description:
Smooth additive quantile regression models, fitted using
the methods of Fasiolo et al. (2020) .
See Fasiolo at al. (2021) for an introduction to the package. Differently from
'quantreg', the smoothing parameters are estimated automatically by marginal
loss minimization, while the regression coefficients are estimated using either
PIRLS or Newton algorithm. The learning rate is determined so that the Bayesian
credible intervals of the estimated effects have approximately the correct
coverage. The main function is qgam() which is similar to gam() in 'mgcv', but
fits non-parametric quantile regression models.
How to cite:
Matteo Fasiolo (2017). qgam: Smooth Additive Quantile Regression Models. R package version 1.3.4, https://cran.r-project.org/web/packages/qgam. Accessed 21 Dec. 2024.
Previous versions and publish date:
Other packages that cited qgam R package
View qgam citation profile
Other R packages that qgam depends,
imports, suggests or enhances
Complete documentation for qgam
Functions, R codes and Examples using
the qgam R package
Some associated functions: AUDem . UKload . check.learn . check.learnFast . check . check.qgam . cqcheck . cqcheckI . elf . elflss . log1pexp . mqgam . pinLoss . qdo . qgam . sigmoid . tuneLearn . tuneLearnFast .
Some associated R codes: I_adTest.R . I_allVars1.R . I_biasedCov.R . I_brent.R . I_checkLoss.R . I_cleanData.R . I_clusterExport.R . I_clusterSetUp.R . I_colVars.R . I_ctrlSetup.R . I_egamFit.R . I_fitShash.R . I_gamlssFit.R . I_getErrParam.R . I_getPenMatrix.R . I_getVp.R . I_kcheck.R . I_llkGrads.R . I_llkShash.R . I_objFunLearnFast.R . I_prepBootObj.R . I_qqVett.R . I_sandwichLoss.R . I_shashCDF.R . I_shashMode.R . I_shashQf.R . I_tuneLearnBootstrapping.R . I_tuneLearnFullFits.R . check_learn.R . check_learnFast.R . check_qgam.R . cqcheck.R . cqcheckI.R . elf.R . elflss.R . generic_functions.R . log1pexp.R . mqgam.R . pinLoss.R . qdo.R . qgam.R . sigmoid.R . tuneLearn.R . tuneLearnFast.R . Full qgam package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
SEIRfansy
Extended Susceptible-Exposed-Infected-Recovery Model for
handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Michael Kleinsasser (view profile)
helda
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Simon Corde (view profile)
CIFsmry
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jianing Li (view profile)
condGEE
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Clement (view profile)
batteryreduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Chunqiao Luo (view profile)