imp_small_gaps_WMA

position of the begining of small gaps

posMA

position of all corresponding values of small gaps

list storing index and size of gaps

store_w

lag of the weighted moving average function

Data

univariate

Imputing small gaps using weighted moving average.

internal

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), <DOI:10.1155/2018/9095683>. Performance indicators are also provided to compare similarity between two univariate signals (incomplete signal and imputed signal).

imp_small_gaps_WMA: Completing small gaps that their sizes belong to (1,large_gap_threshold).

Description

Usage

Arguments

Value