R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
tsensembler
View on CRAN: Click
here
Download and install tsensembler package within the R console
Install from CRAN:
install.packages("tsensembler")
Install from Github:
library("remotes")
install_github("cran/tsensembler") Install by package version:
library("remotes")
install_version("tsensembler", "0.1.0") Attach the package and use:
library("tsensembler")
Maintained by
Vitor Cerqueira
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-28
Latest Update: 2020-10-27
Description:
A framework for dynamically combining forecasting models for time series forecasting predictive tasks. It leverages machine learning models from other packages to automatically combine expert advice using metalearning and other state-of-the-art forecasting combination approaches. The predictive methods receive a data matrix as input, representing an embedded time series, and return a predictive ensemble model. The ensemble use generic functions 'predict()' and 'forecast()' to forecast future values of the time series. Moreover, an ensemble can be updated using methods, such as 'update_weights()' or 'update_base_models()'. A complete description of the methods can be found in: Cerqueira, V., Torgo, L., Pinto, F., and Soares, C. "Arbitrated Ensemble for Time Series Forecasting." to appear at: Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer International Publishing, 2017; and Cerqueira, V., Torgo, L., and Soares, C.: "Arbitrated Ensemble for Solar Radiation Forecasting." International Work-Conference on Artificial Neural Networks. Springer, 2017 <doi:10.1007/978-3-319-59153-7_62>.
How to cite:
Vitor Cerqueira (2017). tsensembler: Dynamic Ensembles for Time Series Forecasting. R package version 0.1.0, https://cran.r-project.org/web/packages/tsensembler. Accessed 30 Oct. 2026.
Previous versions and publish date:
Other packages that cited tsensembler R package
View tsensembler citation profile
Other R packages that tsensembler depends,
imports, suggests or enhances
Complete documentation for tsensembler
Functions, R codes and Examples using
the tsensembler R package
Some associated functions: ADE-class . ADE . DETS-class . DETS . EMASE . ade_hat-class . ade_hat . ae . base_ensemble-class . base_ensemble . base_models_loss . best_mvr . blocked_prequential . bm_cubist . bm_ffnn . bm_gaussianprocess . bm_gbm . bm_glm . bm_mars . bm_pls_pcr . bm_ppr . bm_randomforest . bm_svr . bm_xgb . build_base_ensemble . build_committee . combine_predictions . compute_predictions . dets_hat-class . dets_hat . embed_timeseries . get_target . get_top_models . get_y . holdout . intraining_estimations . intraining_predictions . l1apply . learning_base_models . loss_meta_learn . meta_cubist . meta_cubist_predict . meta_ffnn . meta_ffnn_predict . meta_gp . meta_gp_predict . meta_lasso . meta_lasso_predict . meta_mars . meta_mars_predict . meta_pls . meta_pls_predict . meta_ppr . meta_ppr_predict . meta_predict . meta_rf . meta_rf_predict . meta_svr . meta_svr_predict . meta_xgb . meta_xgb_predict . model_recent_performance . model_specs-class . model_specs . model_weighting . mse . normalize . predict-methods . predict_pls_pcr . proportion . rbind_l . recent_lambda_observations . rmse . roll_mean_matrix . se . select_best . sequential_reweighting . sliding_similarity . soft.completion . softmax . split_by . train_ade . train_ade_quick . tsensembler . update_ade . update_ade_meta . update_base_models . update_weights . water_consumption . xgb_optimizer . xgb_predict . xgb_predict_ .
Some associated R codes: data.R . ensembling-pipes.R . forecast.R . meta-modeling.R . sequential-reweight.R . ts-preprocess.R . utils.R . Full tsensembler package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
GLMsData
Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Peter K. Dunn (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
RiemBase
We provide a number of algorithms to estimate fundamental statistics including Fr ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Kisung You (view profile)
CVrisk
Calculate various cardiovascular disease risk scores from the
Framingham Heart Study (FHS), the Ame ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Victor Castro (view profile)
29,218
R Packages
247,686
Dependencies
77,531
Author Associations
29,219
Publication Badges
