data_impute

data.frame: data frame of target variable, exogenous variables, and observed date (named 'date')

Data

string: select which method to use from the imputeTS package; 'interpolation', 'kalman', 'locf', 'ma', 'mean', 'random', 'remove','replace', 'seadec', 'seasplit'

method

string: vector of variables to standardize, default is all but 'date' column

variables

boolean: show start-up status of impute.missing.routine

verbose

A function to impute missing values. Is used as a data preparation helper function and is called internally
by forecast_univariate, forecast_multivariate, and forecast_combine.

A comprehensive and cohesive API for the out-of-sample forecasting workflow:
data preparation, forecasting - including both traditional econometric time series models and
modern machine learning techniques - forecast combination, model and error analysis, and
forecast visualization.

data_impute: Impute missing values

Description

Usage

Arguments

Value