na.remove

na.remove is replaced by <code>na_remove</code>.
The functionality stays the same. The new name better fits modern R code
style guidelines (which prefer _ over . in function names).

internal

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>.

Steffen Moritz

imputeTS

Time Series Missing Value Imputation

Sebastian Gatscha

Earo Wang

Ron Hause

na.remove function

<dl><dt>x</dt>
<dd>Numeric Vector (<code><a href="/link/vector?package=imputeTS&version=3.3" data-mini-rdoc="imputeTS::vector">vector</a></code>) or Time Series (<code><a href="/link/ts?package=imputeTS&version=3.3" data-mini-rdoc="imputeTS::ts">ts</a></code>)
object in which missing values shall be replaced</dd></dl>

Arguments

Deprecated use na_remove instead. — na.remove

<dl>

<dt>x</dt>
<dd>Numeric Vector (<code><a href='https://rdrr.io/r/base/vector.html'>vector</a></code>) or Time Series (<code><a href='https://rdrr.io/r/stats/ts.html'>ts</a></code>)
object in which missing values shall be replaced</dd>

</dl>

na.remove: Deprecated use `na_remove` instead.

Description

Usage

Arguments