astsa2.1 package

Applied Statistical Time Series Analysis

acf1

Plot and print ACF or PACF of a time series

acf2

Plot and print ACF and PACF of a time series

acfm

ACF and CCF for Multiple Time Series

ar.boot

Bootstrap Distribution of AR Model Parameters

ar.mcmc

Fit Bayesian AR Model

arma.spec

Spectral Density of an ARMA Model

ARMAtoAR

Convert ARMA Process to Infinite AR Process

astsa-package

Applied Statistical Time Series Analysis (more than just data)

astsa.col

astsa color palette with transparency

autoParm

autoParm - Structural Break Estimation Using AR Models

autoSpec

autoSpec - Changepoint Detection of Narrowband Frequency Changes

bart

Bartlett Kernel

ccf2

Cross Correlation

detrend

Detrend a Time Series

dna2vector

Convert DNA Sequence to Indicator Vectors

EM

EM Algorithm for State Space Models

ESS

Effective Sample Size (ESS)

FDR

Basic False Discovery Rate

ffbs

Forward Filtering Backward Sampling

Grid

A Better Add Grid to a Plot

Kfilter

Quick Kalman Filter

Ksmooth

Quick Kalman Smoother

lag1.plot

Lag Plot - one time series

lag2.plot

Lag Plot - two time series

LagReg

Lagged Regression

matrixpwr

Powers of a Square Matrix

mvspec

Univariate and Multivariate Spectral Estimation

polyMul

Multiplication of Two Polynomials

sarima.for

ARIMA Forecasting

sarima

Fit ARIMA Models

sarima.sim

ARIMA Simulation

scatter.hist

Scatterplot with Marginal Histograms

SigExtract

Signal Extraction And Optimal Filtering

spec.ic

Estimate Spectral Density of a Time Series from AR Fit

specenv

Spectral Envelope

ssm

State Space Model

stoch.reg

Frequency Domain Stochastic Regression

SV.mcmc

Fit Bayesian Stochastic Volatility Model

SV.mle

Stochastic Volatility Model with Feedback via MLE

test.linear

Test Linearity of a Time Series via Normalized Bispectrum

trend

Estimate Trend

tsplot

Time Series Plot

xEM0

EM Algorithm for Time Invariant State Space Models - This script has b...

xEM1

EM Algorithm for General State Space Models - This script has been sup...

xKfilter0

Kalman Filter - This script has been superseded by Kfilter

xKfilter1

Kalman Filter - This script has been superseded by Kfilter.

xKfilter2

Kalman Filter - This script has been superseded by Kfilter.

xKsmooth0

Kalman Filter and Smoother - This script has been superseded by `Ksmoo...

xKsmooth1

Kalman Filter and Smoother - This script has been superseded by `Ksmoo...

xKsmooth2

Kalman Filter and Smoother - This script has been superseded by `Ksmoo...

xSVfilter

Switching Filter (for Stochastic Volatility Models) - This script is n...

Contains data sets and scripts for analyzing time series in both the frequency and time domains including state space modeling as well as supporting the texts Time Series Analysis and Its Applications: With R Examples (5th ed coming), by R.H. Shumway and D.S. Stoffer. Springer Texts in Statistics, 2017, <DOI:10.1007/978-3-319-52452-8>, and Time Series: A Data Analysis Approach Using R. Chapman-Hall, 2019, <DOI:10.1201/9780429273285>.

  • Maintainer: David Stoffer
  • License: GPL-3
  • Last published: 2024-01-10