CRAN/E | imputeTS

imputeTS

Time Series Missing Value Imputation

Installation

About

Imputation (replacement) of missing values in univariate time series. Offers several imputation functions and missing data plots. Available imputation algorithms include: 'Mean', 'LOCF', 'Interpolation', 'Moving Average', 'Seasonal Decomposition', 'Kalman Smoothing on Structural Time Series models', 'Kalman Smoothing on ARIMA models'. Published in Moritz and Bartz-Beielstein (2017) doi:10.32614/RJ-2017-009.

Citation imputeTS citation info
github.com/SteffenMoritz/imputeTS
steffenmoritz.github.io/imputeTS/
Bug report File report

Key Metrics

Version 3.3
R ≥ 3.6
Published 2022-09-09 594 days ago
Needs compilation? yes
License GPL-3
CRAN checks imputeTS results

Downloads

Yesterday 473 -5%
Last 7 days 2.820 -19%
Last 30 days 12.043 -16%
Last 90 days 38.302 -2%
Last 365 days 163.507 -74%

Maintainer

Maintainer

Steffen Moritz

steffen.moritz10@gmail.com

Authors

Steffen Moritz

aut / cre / cph

Sebastian Gatscha

aut

Earo Wang

ctb

Ron Hause

ctb

Material

README
NEWS
Reference manual
Package source

In Views

MissingData
TimeSeries

Vignettes

Cheat Sheet imputeTS
imputeTS: Time Series Missing Value Imputation in R
Gallery: Times Series Missing Data Visualizations

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

imputeTS archive

Depends

R ≥ 3.6

Imports

stats
grDevices
ggplot2 ≥ 3.3.0
ggtext
stinepack
forecast
magrittr
methods
Rcpp

Suggests

testthat
R.rsp
knitr
zoo
timeSeries
tis
xts
tibble
tsibble
rmarkdown
covr

LinkingTo

Rcpp

Reverse Imports

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cleanTS
dymo
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gimme
hpiR
imputeTestbench
jenga
kssa
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proteus
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SLBDD
spooky
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TrendSLR

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