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
mrf
View on CRAN: Click
here
Download and install mrf package within the R console
Install from CRAN:
install.packages("mrf")
Install from Github:
library("remotes")
install_github("cran/mrf") Install by package version:
library("remotes")
install_version("mrf", "0.1.9") Attach the package and use:
library("mrf")
Maintained by
Quirin Stier
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-22
Latest Update:
Description:
Forecasting of univariate time series using feature extraction with variable prediction methods is provided. Feature extraction is done with a redundant Haar wavelet transform with filter h = (0.5, 0.5). The advantage of the approach compared to typical Fourier based methods is an dynamic adaptation to varying seasonalities. Currently implemented prediction methods based on the selected wavelets levels and scales are a regression and a multi-layer perceptron. Forecasts can be computed for horizon 1 or higher. Model selection is performed with an evolutionary optimization. Selection criteria are currently the AIC criterion, the Mean Absolute Error or the Mean Root Error. The data is split into three parts for model selection: Training, test, and evaluation dataset. The training data is for computing the weights of a parameter set. The test data is for choosing the best parameter set. The evaluation data is for assessing the forecast performance of the best parameter set on new data unknown to the model. This work is published in Stier, Q.; Gehlert, T.; Thrun, M.C. Multiresolution Forecasting for Industrial Applications. Processes 2021, 9, 1697. .
How to cite:
Quirin Stier (2021). mrf: Multiresolution Forecasting. R package version 0.1.9, https://cran.r-project.org/web/packages/mrf. Accessed 05 Aug. 2026.
Previous versions and publish date:
Other packages that cited mrf R package
View mrf citation profile
Other R packages that mrf depends,
imports, suggests or enhances
Complete documentation for mrf
Functions, R codes and Examples using
the mrf R package
Some associated functions: entsoe . mrf-package . mrf_elm_forecast . mrf_forecast . mrf_model_selection . mrf_multi_step_forecast . mrf_neuralnet_one_step_forecast . mrf_nnetar_forecast . mrf_one_step_forecast . mrf_regression_lsm_optimization . mrf_regression_one_step_forecast . mrf_requirement . mrf_rolling_forecasting_origin . mrf_train . wavelet_decomposition . wavelet_prediction_equation . wavelet_training_equations .
Some associated R codes: mrf_elm_forecast.R . mrf_evaluation.R . mrf_forecast.R . mrf_model_selection.R . mrf_multi_step_forecast.R . mrf_neuralnet_one_step_forecast.R . mrf_nnetar_forecast.R . mrf_one_step_forecast.R . mrf_regression_lsm_optimization.R . mrf_regression_one_step_forecast.R . mrf_requirement.R . mrf_rolling_forecasting_origin.R . mrf_train.R . wavelet_decomposition.R . wavelet_prediction_equation.R . wavelet_training_equations.R . Full mrf package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
kernelPSI
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Lotfi Slim (view profile)
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
noisyr
Quantifies and removes technical noise from high-throughput
sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ilias Moutsopoulos (view profile)
dcov
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hang Weiqiang (view profile)
dhReg
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pranay Gaikwad (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
