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dse (version 2014.11-1)

Dynamic Systems Estimation (time series package)

Description

Package dse provides tools for multivariate, linear, time-invariant, time series models. It 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.

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Version

Install

install.packages('dse')

Monthly Downloads

142

Version

2014.11-1

License

GPL-2

Maintainer

Paul Gilbert

Last Published

November 25th, 2014

Functions in dse (2014.11-1)

phasePlots

Calculate Phase Plots
checkBalance

Check Balance of a TSmodel
l

Evaluate a TSmodel
Portmanteau

Calculate Portmanteau statistic
TSdata.forecastCov

TS Extractor Specific Methods
horizonForecasts

Calculate forecasts at specified horizons
estVARXls

Estimate a VAR TSmodel
simulate

Simulate a TSmodel
minForecastCov

Minimum Forecast Cov Models
TSmodel

Time Series Models
testEqual.forecast

Specific Methods for Testing Equality
ARMA

ARMA Model Constructor
Polynomials

Polynomial Utilities
fixConstants

Fix TSmodel Coefficients (Parameters) to Constants
TSdata.object

time series data object
tfplot.forecastCov

Plots of Forecast Variance
DSEflags

Flags to Indicate Use of Compiled Code
roots

Calculate Model Roots
TSestModel

Estimated Time Series Model
estBlackBox1

Estimate a TSmodel
estVARXar

Estimate a VAR TSmodel
nseriesInput

Number of Series in in Input or Output
selectForecastCov

Select Forecast Covariances Meeting Criteria
permute

Permute
checkBalanceMittnik

Check Balance of a TSmodel
forecasts

Extract Forecasts
00.dse.Intro

Dynamic Systems Estimation - Multivariate Time Series Package
toSSinnov

Convert to State Space Innovations Model
roots.estimatedModels

Roots Specific Methods
balanceMittnik

Balance a state space model
McMillanDegree

Calculate McMillan Degree
forecastCovEstimatorsWRTtrue

Compare Forecasts Cov Relative to True Model Output
is.forecastCovEstimatorsWRTdata.subsets

Check Inheritance
dse-package

Dynamic Systems Estimation - Multivariate Time Series Package
estSSfromVARX

Estimate a state space TSmodel using VAR estimation
Tobs.TSdata

Specific Methods for tframed Data
combine.forecastCov

Combine 2 Forecast Cov Objects
bestTSestModel

Select Best Model
fixF

Set SS Model F Matrix to Constants
stability

Calculate Stability of a TSmodel
percentChange.TSdata

Calculate percent change
combine.TSdata

Combine series from two TSdata objects.
addPlotRoots

Add Model Roots to a plot
eg1.DSE.data

Four Time Series used in Gilbert (1993)
markovParms

Markov Parameters
informationTestsCalculations

Calculate selection criteria
observability

Calculate Model Observability Matrix
estBlackBox

Estimate a TSmodel
forecastCovCompiled

Forecast covariance for different models - internal
combine

Combine two objects.
estSSMittnik

Estimate a State Space Model
residuals.TSestModel

Calculate the residuals for an object
state

Extract State
checkResiduals

Autocorrelations Diagnostics
l.SS

Evaluate a state space TSmodel
forecastCov

Forecast covariance for different models
DSEversion

Print Version Information
Riccati

Riccati Equation
TobsInput

TSdata Periods
estWtVariables

Weighted Estimation
TSdata

Construct TSdata time series object
forecastCovReductionsWRTtrue

Forecast covariance for different models
estBlackBox2

Estimate a TSmodel
seriesNamesInput.forecast

TS Input and Output Specific Methods
tfplot.forecast

Specific Methods for tfplot
gmap

Basis Transformation of a Model.
estMaxLik

Maximum Likelihood Estimation
extractforecastCov

Extract Forecast Covariance
horizonForecastsCompiled

Calculate forecasts at specified horizons
estimatorsHorizonForecastsWRTdata

Estimate models and forecast at given horizons
nstates

State Dimension of a State Space Model
excludeForecastCov

Filter Object to Remove Forecasts
coef.TSmodel

Extract or set Model Parameters
MittnikReduction

Balance and Reduce a Model
stripMine

Select a Data Subset and Model
forecast

Forecast Multiple Steps Ahead
seriesNamesInput

TSdata Series Names
acf

Calculate the acf for an object
inputData

TSdata Series
minimumStartupLag

Starting Periods Required
egJofF.1dec93.data

Eleven Time Series used in Gilbert (1995)
estBlackBox3

Estimate a TSmodel
SS

State Space Models
featherForecasts

Multiple Horizon-Step Ahead Forecasts
outOfSample.forecastCovEstimatorsWRTdata

Calculate Out-of-Sample Forecasts
toSS

Convert to State Space Model
makeTSnoise

Generate a random time series
estBlackBox4

Estimate a TSmodel
sumSqerror

Calculate sum of squared prediction errors
tframed.TSdata

Specific Methods for tframed Data
tfplot.TSdata

Tfplot Specific Methods
toSSChol

Convert to Non-Innovation State Space Model
testEqual.ARMA

Specific Methods for Testing Equality
nseries.featherForecasts

Number of Series
smoother

Evaluate a smoother with a TSmodel
summary.forecastCov

Summary Specific Methods
plot.roots

Plot Model Roots
residualStats

Calculate Residuals Statistics and Likelihood
scale.TSdata

Scale Methods for TS objects
informationTests

Tabulates selection criteria
forecastCovWRTtrue

Compare Forecasts to True Model Output
setArrays

Set TSmodel Array Information
forecastCovEstimatorsWRTdata

Calculate Forecast Cov of Estimators WRT Data
toARMA

Convert to an ARMA Model
print.TSestModel

Display TSmodel Arrays
reachability

Calculate Model Reachability Matrix
l.ARMA

Evaluate an ARMA TSmodel
print.forecastCov

Print Specific Methods
DSEutilities

DSE Utilities
MittnikReducedModels

Reduced Models via Mittnik SVD balancing
totalForecastCov

Sum covariance of forecasts across all series
checkConsistentDimensions

Check Consistent Dimensions
toSSOform

Convert to Oform
setTSmodelParameters

Set TSmodel Parameter Information
estimateModels

Estimate Models
print.TSdata

Print Specific Methods
shockDecomposition

Shock Decomposition
summary.TSdata

Specific Methods for Summary
seriesNames.TSdata

Series Names Specific Methods