R Package Scholar
19,393

imputeTS: Time Series Missing Value Imputation

Steffen Moritz  Sebastian Gatscha  Earo Wang  Ron Hause   View description and downloadsView dependenciesGitHub project

2015 Published
3.3 Version
0 Citations
4 Authors
Referenced by ⇅ Year
RiverLoad: Load Estimation of River Compounds with Different Methods (Version 1.0.3)

2019
EventDetectR: Event Detection Framework (Version 0.3.5)

2018
MissingHandle: Handles Missing Dates and Data and Converts into Weekly and Monthly from Daily (Version 0.1.1)

2023
OOS: Out-of-Sample Time Series Forecasting (Version 1.0.0)

2021
RamanMP: Analysis and Identification of Raman Spectra of Microplastics (Version 1.0)

2021
SLBDD: Statistical Learning for Big Dependent Data (Version 0.0.4)

2021
TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records (Version 1.0)

2019
audrex: Automatic Dynamic Regression using Extreme Gradient Boosting (Version 2.0.1)

2021
baytrends: Long Term Water Quality Trend Analysis (Version 2.0.11)

2018
cleanTS: Testbench for Univariate Time Series Cleaning (Version 0.1.2)

2021
codez: Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based on Tensorflow (Version 1.0.0)

2022
dymo: Dynamic Mode Decomposition for Multivariate Time Feature Prediction (Version 1.1.0)

2022
epimdr: Functions and Data for "Epidemics: Models and Data in R" (Version 0.6-5)

2018
epimdr2: Functions and Data for "Epidemics: Models and Data in R (2nd Edition)" (Version 1.0-9)

2022
gimme: Group Iterative Multiple Model Estimation (Version 0.7-18)

2014
hpiR: House Price Indexes (Version 0.3.2)

2018
imputeTestbench: Test Bench for the Comparison of Imputation Methods (Version 3.0.3)

2016
jenga: Fast Extrapolation of Time Features using K-Nearest Neighbors (Version 1.3.0)

2021
kssa: Known Sub-Sequence Algorithm (Version 0.0.1)

2022
lambdaTS: Variational Seq2Seq Model with Lambda Transformer for Time Series Analysis (Version 1.1)

2021
mvLSWimpute: Imputation Methods for Multivariate Locally Stationary Time Series (Version 0.1.1)

2022
naive: Empirical Extrapolation of Time Feature Patterns (Version 1.2.3)

2022
naniar: Data Structures, Summaries, and Visualisations for Missing Data (Version 1.1.0)

2017
proteus: Multiform Seq2Seq Model for Time-Feature Analysis (Version 1.1.4)

2021
realTimeloads: Analyte Flux and Load from Estimates of Concentration and Discharge (Version 1.0.0)

2023
segen: Sequence Generalization Through Similarity Network (Version 1.1.0)

2022
spooky: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling (Version 1.4.0)

2022
tetragon: Automatic Sequence Prediction by Expansion of the Distance Matrix (Version 1.3.0)

2021
tsbox: Class-Agnostic Time Series (Version 0.4.1)

2018

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