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knnp  

Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("knnp", "2.0.0")



Attach the package and use:
library("knnp")
Maintained by
Daniel Bastarrica Lacalle
[Scholar Profile | Author Map]
First Published: 2018-07-01
Latest Update: 2020-01-10
Description:
Two main functionalities are provided. One of them is predicting values with k-nearest neighbors algorithm and the other is optimizing the parameters k and d of the algorithm. These are carried out in parallel using multiple threads.
How to cite:
Daniel Bastarrica Lacalle (2018). knnp: Time Series Prediction using K-Nearest Neighbors Algorithm (Parallel). R package version 2.0.0, https://cran.r-project.org/web/packages/knnp. Accessed 10 Jan. 2025.
Previous versions and publish date:
1.0.0 (2018-07-01 17:00)
Other packages that cited knnp R package
View knnp citation profile
Other R packages that knnp depends, imports, suggests or enhances
Complete documentation for knnp
Functions, R codes and Examples using the knnp R package
Some associated functions: knn . knn_elements . knn_forecast . knn_param_search . knn_past . 
Some associated R codes: knn.R . knn_elements.R . knn_forecast.R . knn_param_search.R . knn_past.R .  Full knnp package functions and examples
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