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FSMUMI  

Imputation of Time Series Based on Fuzzy Logic
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FSMUMI", "1.0")



Attach the package and use:
library("FSMUMI")
Maintained by
Thi Thu Hong Phan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-26
Latest Update:
Description:
Filling large gaps in low or uncorrelated multivariate time series uses a new fuzzy weighted similarity measure. It contains all required functions to create large missing consecutive values within time series and then fill these gaps, according to the paper Phan et al. (2018), . Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).
How to cite:
Thi Thu Hong Phan (2018). FSMUMI: Imputation of Time Series Based on Fuzzy Logic. R package version 1.0, https://cran.r-project.org/web/packages/FSMUMI. Accessed 15 Jul. 2026.
Previous versions and publish date:
1.0 (2018-11-26 21:10), (2026-07-09 08:03)
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