FSMUMI
1.0Imputation of Time Series Based on Fuzzy Logic
Overview
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).
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Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
- 5%
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Code & Tests
- Cyclomatic complexity
- 5.0 median / 19 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
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Functions
20 0 exported
Complexity
6.3 avg / 19 max
Call network
20 nodes / 16 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
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Open call graph →Lowest coverage
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People & History
1 release. R releases are shown for context.
- RR 4.4.0 released · 2024-04-24
- archivedRemoved from CRAN2024-04-20issues were not corrected despite reminders
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.02018-11-26
- RR 3.5.0 released · 2018-04-23
Package metadata
- Total releases
- 1
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 576 KB / 1 file
- Download size
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