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
glarma
View on CRAN: Click
here
Download and install glarma package within the R console
Install from CRAN:
install.packages("glarma")
Install from Github:
library("remotes")
install_github("cran/glarma") Install by package version:
library("remotes")
install_version("glarma", "1.7-1") Attach the package and use:
library("glarma")
Maintained by
"William T.M. Dunsmuir"
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-12-16
Latest Update: 2025-03-28
Description:
Functions are provided for estimation, testing, diagnostic checking and forecasting of generalized linear autoregressive moving average (GLARMA) models for discrete valued time series with regression variables. These are a class of observation driven non-linear non-Gaussian state space models. The state vector consists of a linear regression component plus an observation driven component consisting of an autoregressive-moving average (ARMA) filter of past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used for the response series. Three options (Pearson, score-type and unscaled) for the residuals in the observation driven component are available. Estimation is via maximum likelihood (conditional on initializing values for the ARMA process) optimized using Fisher scoring or Newton Raphson iterative methods. Likelihood ratio and Wald tests for the observation driven component allow testing for serial dependence in generalized linear model settings. Graphical diagnostics including model fits, autocorrelation functions and probability integral transform residuals are included in the package. Several standard data sets are included in the package.
How to cite:
"William T.M. Dunsmuir" (2013). glarma: Generalized Linear Autoregressive Moving Average Models. R package version 1.7-1, https://cran.r-project.org/web/packages/glarma. Accessed 31 Oct. 2026.
Previous versions and publish date:
Other packages that cited glarma R package
View glarma citation profile
Other R packages that glarma depends,
imports, suggests or enhances
Complete documentation for glarma
Functions, R codes and Examples using
the glarma R package
Some associated functions: Asthma . DriverDeaths . OxBoatRace . PIT . Polio . RobberyConvict . coef.glarma . extractAIC.glarma . fitted.glarma . forecast . glarma . initial . likTests . logLik.glarma . model.frame.glarma . mySolve . nobs.glarma . paramGen . plot.glarma . plotPIT . randPIT . residuals.glarma . summary.glarma .
Some associated R codes: PIT.R . accessors.R . forecast.R . glarma.R . glarmaBinomialIdentity.R . glarmaBinomialPearson.R . glarmaBinomialScore.R . glarmaModelEstimates.R . glarmaNegBinPearson.R . glarmaNegBinScore.R . glarmaPoissonPearson.R . glarmaPoissonScore.R . initial.R . likTests.R . mySolve.R . paramGen.R . plot.glarma.R . randPIT.R . summary.glarma.R . Full glarma package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
rgl
Provides medium to high level functions for 3D interactive graphics, including
functions modelled o ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Duncan Murdoch (view profile)
exceedProb
Computes confidence intervals for the exceedance probability of normally distributed estimators. Cur ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Brian D. Segal (view profile)
distrMod
Implements S4 classes for probability models based on packages 'distr' and
'distrEx'. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Peter Ruckdeschel (view profile)
ExactCIdiff
This is a package for exact Confidence Intervals for the difference between two independent or depen ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Guogen Shan (view profile)
29,218
R Packages
247,686
Dependencies
77,531
Author Associations
29,219
Publication Badges
