Other packages > Find by keyword >

tspredit  

Time Series Prediction with Integrated Tuning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("tspredit", "1.1.707")



Attach the package and use:
library("tspredit")
Maintained by
Eduardo Ogasawara
[Scholar Profile | Author Map]
First Published: 2023-07-19
Latest Update: 2023-12-22
Description:
Prediction is one of the most important activities while working with time series. There are many alternative ways to model the time series. Finding the right one is challenging to model them. Most data-driven models (either statistical or machine learning) demand tuning. Setting them right is mandatory for good predictions. It is even more complex since time series prediction also demands choosing a data pre-processing that complies with the chosen model. Many time series frameworks have features to build and tune models. The package differs as it provides a framework that seamlessly integrates tuning data pre-processing activities with the building of models. The package provides functions for defining and conducting time series prediction, including data pre(post)processing, decomposition, tuning, modeling, prediction, and accuracy assessment. More information is available at Izau et al. <doi:10.5753/sbbd.2022.224330>.
How to cite:
Eduardo Ogasawara (2023). tspredit: Time Series Prediction with Integrated Tuning. R package version 1.1.707, https://cran.r-project.org/web/packages/tspredit. Accessed 11 May. 2025.
Previous versions and publish date:
1.0.707 (2023-07-19 17:20), 1.0.727 (2023-11-02 19:50), 1.0.737 (2023-11-09 17:40), 1.0.747 (2023-12-22 06:00), 1.0.767 (2024-03-26 03:20), 1.0.777 (2024-07-29 16:20), 1.0.787 (2024-12-04 16:30)
Other packages that cited tspredit R package
View tspredit citation profile
Other R packages that tspredit depends, imports, suggests or enhances
Complete documentation for tspredit
Downloads during the last 30 days
04/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/0605/0705/0805/0905/10Downloads for tspredit0102030405060708090TrendBars

Today's Hot Picks in Authors and Packages

PhySortR  
A Fast, Flexible Tool for Sorting Phylogenetic Trees
Screens and sorts phylogenetic trees in both traditional and extended Newick format. Allows for the ...
Download / Learn more Package Citations See dependency  
betaSandwich  
Robust Confidence Intervals for Standardized Regression Coefficients
Generates robust confidence intervals for standardized regression coefficients using heteroskedasti ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
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  
PTwins  
Percentile Estimation of Fetal Weight for Twins by Chorionicity
Package to Percentile estimation of fetal weight for twins by chorionicity (dichorionic-diamniotic o ...
Download / Learn more Package Citations See dependency  
strategicplayers  
Strategic Players
Identifies individuals in a social network who should be the intervention subjects for a network int ...
Download / Learn more Package Citations See dependency  
hash  
Full Featured Implementation of Hash Tables/Associative Arrays/Dictionaries
Implements a data structure similar to hashes in Perl and dictionaries in Python but with a purposef ...
Download / Learn more Package Citations See dependency  

24,223

R Packages

207,311

Dependencies

65,402

Author Associations

24,224

Publication Badges

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