Other packages > Find by keyword >

onlineforecast  

Forecast Modelling for Online Applications
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("onlineforecast", "1.0.2")



Attach the package and use:
library("onlineforecast")
Maintained by
Peder Bacher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-15
Latest Update: 2023-10-12
Description:
A framework for fitting adaptive forecasting models. Provides a way to use forecasts as input to models, e.g. weather forecasts for energy related forecasting. The models can be fitted recursively and can easily be setup for updating parameters when new data arrives. See the included vignettes, the website and the paper "onlineforecast: An R package for adaptive and recursive forecasting" .
How to cite:
Peder Bacher (2020). onlineforecast: Forecast Modelling for Online Applications. R package version 1.0.2, https://cran.r-project.org/web/packages/onlineforecast. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:37), 0.9.3 (2020-09-15 10:50), 0.10.0 (2021-08-21 14:40), 1.0.0 (2021-09-30 11:50), 1.0.1 (2022-05-10 11:30)
Other packages that cited onlineforecast R package
View onlineforecast citation profile
Other R packages that onlineforecast depends, imports, suggests or enhances
Complete documentation for onlineforecast
Functions, R codes and Examples using the onlineforecast R package
Some associated functions: AR . Dbuilding . as.data.frame.data.list . as.data.list . aslt . bs . cache_name . cache_save . complete_cases . ct . data.list . depth . equals-.data.list . flattenlist . forecastmodel . fs . getse . gof . grapes-times-times-grapes . in_range . input_class . lagdf.character . lagdf.factor . lagdf.logical . lagdf.matrix . lagdf.numeric . lagdf . lagdl . lagvec . lapply_cbind . lapply_cbind_df . lapply_rbind . lapply_rbind_df . lm_fit . lm_optim . lm_predict . long_format . lp . lp_vector . lp_vector_cpp . make_input . make_periodic . make_tday . nams . one . onlineforecast-package . pairs.data.list . par_ts . pbspline . persistence . plot_ts . plotly_ts.data.frame . plotly_ts.data.list . print.forecastmodel . print_to_message . pst . resample.data.frame . resample . residuals . rls_fit . rls_optim . rls_predict . rls_prm . rls_summary . rls_update . rls_update_cpp . rmse . score . setpar . stairs . state_getval . state_setval . step_optim . subset.data.list . summary.data.list . summary.rls_fit . 
Some associated R codes: AR.R . RcppExports.R . as.data.list.R . aslt.R . bspline.R . cache_name.R . cache_save.R . complete_cases.R . ct.R . data.R . data.list.R . depth.R . extra.R . flattenlist.R . forecastmodel.R . forecastmodel.R-documentation.R . fs.R . getse.R . gof.R . in_range.R . input_class.R . input_class.R-documentation.R . lagdf.R . lagdl.R . lagvec.R . lapply.R . lm_fit.R . lm_optim.R . lm_predict.R . long_format.R . lp.R . make_input.R . make_periodic.R . make_tday.R . nams.R . ones.R . onlineforecast-package.R . operator_multiply.R . par_ts.R . persistence.R . plot_ts.R . plotly_ts.R . print_to_message.R . pst.R . resample.R . residuals.R . rls_fit.R . rls_optim.R . rls_predict.R . rls_prm.R . rls_summary.R . rls_update.R . rmse.R . score.R . setpar.R . stairs.R . state_getval.R . state_setval.R . step_optim.R .  Full onlineforecast package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

MARSS  
Multivariate Autoregressive State-Space Modeling
The MARSS package provides maximum-likelihood parameter estimation for constrained and unconstraine ...
Download / Learn more Package Citations See dependency  
rts2  
Log-Gaussian Cox Process Models with Approximations
Supports modelling real-time case data to facilitate the real-time surveillance of infectious disea ...
Download / Learn more Package Citations See dependency  
SADEG  
Stability Analysis in Differentially Expressed Genes
We analyzed the nucleotide composition of genes with a special emphasis on stability of DNA sequence ...
Download / Learn more Package Citations See dependency  
LSDsensitivity  
Sensitivity Analysis Tools for 'LSD' Simulations
Tools for sensitivity analysis of LSD simulation models. Reads object-oriented data produced by LSD ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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