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seer
View on CRAN: Click
here
Download and install seer package within the R console
Install from CRAN:
install.packages("seer")
Install from Github:
library("remotes")
install_github("cran/seer")
Install by package version:
library("remotes")
install_version("seer", "1.1.8")
Attach the package and use:
library("seer")
Maintained by
Thiyanga Talagala
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.seer . https://github.com/thiyangt/seer/issues . https://thiyangt.github.io/seer/ . seer results . seer.pdf . seer_1.1.8.tar.gz . seer_1.1.8.zip . seer_1.1.8.zip . seer_1.1.8.zip . seer_1.1.8.tgz . seer_1.1.8.tgz . seer_1.1.8.tgz . seer_1.1.8.tgz . seer_1.1.8.tgz . seer_1.1.8.tgz . seer archive . https://CRAN.R-project.org/package=seer .
First Published: 2020-02-21
Latest Update: 2022-10-01
Description:
A novel meta-learning framework for forecast model selection using time series features. Many applications require a large number of time series to be forecast. Providing better forecasts for these time series is important in decision and policy making. We propose a classification framework which selects forecast models based on features calculated from the time series. We call this framework FFORMS (Feature-based FORecast Model Selection). FFORMS builds a mapping that relates the features of time series to the best forecast model using a random forest. 'seer' package is the implementation of the FFORMS algorithm. For more details see our paper at .
How to cite:
Thiyanga Talagala (2020). seer: Feature-Based Forecast Model Selection. R package version 1.1.8, https://cran.r-project.org/web/packages/seer. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited seer R package
View seer citation profile
Other R packages that seer depends,
imports, suggests or enhances
Complete documentation for seer
Functions, R codes and Examples using
the seer R package
Some associated functions: accuracy_arima . accuracy_ets . accuracy_mstl . accuracy_nn . accuracy_rw . accuracy_rwd . accuracy_snaive . accuracy_stlar . accuracy_tbats . accuracy_theta . accuracy_wn . acf5 . acf_seasonalDiff . build_rf . cal_MASE . cal_WA . cal_features . cal_m4measures . cal_medianscaled . cal_sMAPE . classify_labels . classlabel . combination_forecast_inside . convert_msts . e_acf1 . fcast_accuracy . fforms_combinationforecast . fforms_ensemble . holtWinter_parameters . prepare_trainingset . rf_forecast . sim_arimabased . sim_etsbased . sim_mstlbased . split_names . stlar . unitroot .
Some associated R codes: build_rf.R . cal_MASE.R . cal_WA.R . cal_m4measures.R . cal_medianscaled.R . cal_sMAPE.R . classify_labels.R . classlabel.R . combination_forecast_inside.R . convert_msts.R . fcast_accuracy.R . feature_cal.R . features.R . fforms_combination.R . fforms_ensemble.R . modelfitting.R . prepare_trainingset.R . rf_forecast.R . simulate_arimabased.R . simulate_etsbased.R . simulate_mstlbased.R . split_names.R . stlar.R . Full seer package functions and examples
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