impute_ts: Time series imputation

Description Usage Arguments Value Author(s) Examples

View source: R/data_cleansing.R

Description

Time series imputation

Usage

1
impute_ts(.data, freq = numeric(), imputation_config = list(), ...)

Arguments

.data

tibble/data.frame: data.

freq

integer: frequency of the data.

imputation_config

list: options for imputation methods. The names can take the following configurations: impute_method = kalman, median, mean, nearest, interpolation add_transformation = logical, na_regressor = logical (replaces response variable with NA's and imputates) , na_missing_dates = logical (replaces response variable with NA's and imputates when missing dates) , na_value = character (replace NA's by a specific value)

...

Other parameters, .

Value

data-frame

Author(s)

Obryan Poyser

Examples

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## Not run: 
impute_ts()

## End(Not run)

opoyc/autoforecast documentation built on May 18, 2021, 1:29 a.m.