Other packages > Find by keyword >

forecastSNSTS  

Forecasting for Stationary and Non-Stationary Time Series
View on CRAN: Click here


Download and install forecastSNSTS package within the R console
Install from CRAN:
install.packages("forecastSNSTS")

Install from Github:
library("remotes")
install_github("cran/forecastSNSTS")

Install by package version:
library("remotes")
install_version("forecastSNSTS", "1.3-0")



Attach the package and use:
library("forecastSNSTS")
Maintained by
Tobias Kley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-12
Latest Update: 2019-09-02
Description:
Methods to compute linear h-step ahead prediction coefficients based on localised and iterated Yule-Walker estimates and empirical mean squared and absolute prediction errors for the resulting predictors. Also, functions to compute autocovariances for AR(p) processes, to simulate tvARMA(p,q) time series, and to verify an assumption from Kley et al. (2019), Electronic of Statistics, forthcoming. Preprint .
How to cite:
Tobias Kley (2016). forecastSNSTS: Forecasting for Stationary and Non-Stationary Time Series. R package version 1.3-0, https://cran.r-project.org/web/packages/forecastSNSTS. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 1.0-0 (2016-11-12 00:55), 1.1-0 (2016-11-17 18:07), 1.1-1 (2017-01-20 10:48), 1.2-0 (2017-06-18 19:36), 1.3-0 (2019-09-02 17:20)
Other packages that cited forecastSNSTS R package
View forecastSNSTS citation profile
Other R packages that forecastSNSTS depends, imports, suggests or enhances
Complete documentation for forecastSNSTS
Functions, R codes and Examples using the forecastSNSTS R package
Some associated functions: acfARp . computeMSPEcpp . f . forecastSNSTS-package . measure-of-accuracy . plot.measure-of-accuracy . predCoef . ts-models-tvARMA . tvARMAcpp . 
Some associated R codes: RcppExports.R . acfARp.R . f.R . forecastSNSTS-package.R . measure-of-accuracy.R . models.R .  Full forecastSNSTS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

SAMBA  
Selection and Misclassification Bias Adjustment for Logistic Regression Models
Health research using data from electronic health records (EHR) has gained popularity, but miscla ...
Download / Learn more Package Citations See dependency  
RRedshiftSQL  
R Interface to the 'Redshift' Database
Superclasses 'PostgreSQL' connection to help enable full 'dplyr' functionality on 'Redshift'. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
lsmeans  
Least-Squares Means
Obtain least-squares means for linear, generalized linear, and mixed models. Compute contrasts or l ...
Download / Learn more Package Citations See dependency  
TMDb  
Access to TMDb API
Provides an R-interface to the TMDb API (see TMDb API on < ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA