Imputation (replacement) of missing values in univariate time series.
|Date of publication||2016-10-13 20:37:02|
|Maintainer||Steffen Moritz <firstname.lastname@example.org>|
imputeTS-package: imputeTS-package description
na.interpolation: Missing Value Imputation by Interpolation
na.kalman: Missing Value Imputation by Kalman Smoothing and State Space...
na.locf: Missing Value Imputation by Last Observation Carried Forward
na.ma: Missing Value Imputation by Weighted Moving Average
na.mean: Missing Value Imputation by Mean Value
na.random: Missing Value Imputation by Random Sample
na.remove: Remove Missing Values
na.replace: Replace Missing Values by a Defined Value
na.seadec: Seasonally Decomposed Missing Value Imputation
na.seasplit: Seasonally Splitted Missing Value Imputation
plotNA.distribution: Visualize Distribution of Missing Values
plotNA.distributionBar: Visualize Distribution of Missing Values (Barplot)
plotNA.gapsize: Visualize Distribution of NA gap sizes
plotNA.imputations: Visualize Imputed Values
statsNA: Print Statistics about Missing Values
tsAirgap: Time series of monthly airline passengers (with NAs)
tsAirgapComplete: Time series of monthly airline passengers (complete)
tsHeating: Time series of a heating systems supply temperature (with...
tsHeatingComplete: Time series of a heating systems supply temperature...
tsNH4: Time series of NH4 concentration in a wastewater system (with...
tsNH4Complete: Time series of NH4 concentration in a wastewater system...