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
dse
View on CRAN: Click
here
Download and install dse package within the R console
Install from CRAN:
install.packages("dse")
Install from Github:
library("remotes")
install_github("cran/dse") Install by package version:
library("remotes")
install_version("dse", "2020.2-1") Attach the package and use:
library("dse")
Maintained by
Paul Gilbert
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2000-04-21
Latest Update:
Description:
Tools for multivariate, linear, time-invariant,
time series models. This includes ARMA and state-space representations,
and methods for converting between them. It also includes simulation
methods and several estimation functions. The package has functions
for looking at model roots, stability, and forecasts at different
horizons. The ARMA model representation is general, so that VAR, VARX,
ARIMA, ARMAX, ARIMAX can all be considered to be special cases. Kalman
filter and smoother estimates can be obtained from the state space
model, and state-space model reduction techniques are implemented.
An introduction and User's Guide is available in a vignette.
How to cite:
Paul Gilbert (2000). dse: Dynamic Systems Estimation (Time Series Package). R package version 2020.2-1, https://cran.r-project.org/web/packages/dse. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:33), 2000.9-1 (2000-09-28 17:38), 2000.12-1 (2000-12-22 13:23), 2001.4-1 (2001-04-06 19:54), 2001.6-1 (2001-06-09 08:14), 2001.10-1 (2001-10-16 11:19), 2001.12-1 (2001-12-20 13:23), 2002.4-1 (2002-04-26 18:18), 2002.6-1 (2002-07-30 18:53), 2003.2-1 (2003-02-21 18:21), 2003.3-1 (2003-03-02 16:13), 2003.4-1 (2003-04-27 20:24), 2003.6-1 (2003-06-18 22:50), 2003.9-1 (2003-09-20 09:59), 2004.3-1 (2004-03-26 08:51), 2004.4-1 (2004-04-18 23:01), 2004.10-1 (2004-10-13 14:11), 2005.1-1 (2005-01-06 00:21), 2005.4-1 (2005-04-27 18:27), 2005.6-1 (2005-06-24 07:35), 2005.9-1 (2005-09-14 16:29), 2006.1-1 (2006-01-11 11:19), 2006.4-1 (2006-04-19 09:36), 2006.10-1 (2006-10-04 10:23), 2007.5-1 (2007-05-08 21:28), 2007.5-2 (2007-05-13 15:13), 2007.7-1 (2007-07-13 07:35), 2007.11-1 (2007-12-02 10:45), 2008.10-1 (2008-10-19 18:59), 2009.7-1 (2009-07-26 20:33), 2009.10-1 (2009-10-13 10:20), 2009.10-2 (2009-10-18 12:11), 2009.12-1 (2011-01-20 14:07), 2011.3-1 (2011-03-23 10:30), 2011.11-1 (2011-11-03 13:48), 2011.11-2 (2011-11-28 13:00), 2012.4-1 (2012-05-02 08:28), 2012.6-1 (2012-09-20 08:42), 2013.3-2 (2013-03-07 08:03), 2014.11-1 (2014-11-25 08:49), 2015.12-1 (2015-12-16 18:54), 2020.2-1 (2020-02-26 08:10), R2000.4-1 (2000-04-21 14:28), R2000.6-1 (2000-06-17 07:54)
Other packages that cited dse R package
View dse citation profile
Other R packages that dse depends,
imports, suggests or enhances
Functions, R codes and Examples using
the dse R package
Some associated functions: 00.dse.Intro . ARMA . DSEflags . DSEutilities . DSEversion . McMillanDegree . MittnikReducedModels . MittnikReduction . Polynomials . Portmanteau . Riccati . SS . TSdata.forecastCov . TSdata . TSdataject . TSestModel . TSmodel . acf . addPlotRoots . balanceMittnik . bestTSestModel . checkBalance . checkBalanceMittnik . checkConsistentDimensions . checkResiduals . coef.TSmodel . combine.TSdata . combine.forecastCov . combine . dse-package . eg1.DSE.data . egJofF.1dec93.data . estBlackBox . estBlackBox1 . estBlackBox2 . estBlackBox3 . estBlackBox4 . estMaxLik . estSSMittnik . estSSfromVARX . estVARXar . estVARXls . estWtVariables . estimateModels . estimatorsHorizonForecastsWRTdata . excludeForecastCov . extractforecastCov . featherForecasts . fixConstants . fixF . forecast . forecastCov . forecastCovCompiled . forecastCovEstimatorsWRTdata . forecastCovEstimatorsWRTtrue . forecastCovReductionsWRTtrue . forecastCovWRTtrue . forecasts . gmap . horizonForecasts . horizonForecastsCompiled . informationTests . informationTestsCalculations . inputData . is.forecastCovEstimatorsWRTdata.subsets . l.ARMA . l.SS . l . makeTSnoise . markovParms . minForecastCov . minimumStartupLag . nseries.featherForecasts . nseriesInput . nstates . observability . outOfSample.forecastCovEstimatorsWRTdata . percentChange.TSdata . periods.TSdata . periodsInput . permute . phasePlots . plot.roots . print.TSdata . print.TSestModel . print.forecastCov . reachability . residualStats . residuals.TSestModel . roots.estimatedModels . roots . scale.TSdata . selectForecastCov . seriesNames.TSdata . seriesNamesInput.forecast . seriesNamesInput . setArrays . setTSmodelParameters . shockDecomposition . simulate . smoother . stability . state . stripMine . sumSqerror . summary.TSdata . summary.forecastCov . testEqual.ARMA . testEqual.forecast . tfplot.TSdata . tfplot.forecast . tfplot.forecastCov . tframed.TSdata . toARMA . toSS . toSSChol . toSSOform . toSSinnov . totalForecastCov .
Some associated R codes: Rfixes.R . dse1.R . dse2.R . Full dse package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
binovisualfields
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ping Liu (view profile)
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)
GEVcdn
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex J. Cannon (view profile)
fastRG
Samples generalized random product graphs, a generalization of
a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Alex Hayes (view profile)
personalized2part
Implements the methodology of Huling, Smith, and
Chen (2020) , w ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jared Huling (view profile)
29,218
R Packages
247,686
Dependencies
77,281
Author Associations
29,219
Publication Badges
