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Elimination of Noisy Samples in Regression Datasets using Noise Filters

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rgnoisefilt

The rgnoisefilt package adapts classic and recent filtering techniques for use in regression problems, and it also incorporates methods specifically designed for regression data (Martin et al. 2021, Arnaiz-Gonzalez et al. 2014).

The current release version can be found on CRAN or can also be downloaded using the commands below:

Install in R from CRAN:

install.packages('rgnoisefilt')

Install in R from GitHub:

install.packages("devtools")

devtools::install_github("juanmartinsantos/rgnoisefilt/pkg/rgnoisefilt")

Documentation:

Detailed documentation can be found here

Cite:

If you use rgnoisefilt please cite:
Martín J. and Sáez J.A. and Corchado E. (2024). Tackling the problem of noisy IoT sensor data in smart agriculture: Regression noise filters for enhanced evapotranspiration prediction. Expert Systems with Applications, 237(Part B), 121608.

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