Imputation of Time Series Based on Fuzzy Logic
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Documentation for package ‘FSMUMI’ version 1.0
Help Pages
| FSMUMI-package | Imputation of Time Series Based on Fuzzy Logic |
| compute.ed | Euclidean distance (ED) |
| compute.fa2 | FA2 |
| compute.fb | Fractional Bias (FB) |
| compute.fsd | Fraction of Standard Deviation (FSD) |
| compute.rmse | Root Mean Square Error (RMSE) |
| compute.sim | Similarity |
| create.Myfis | Building a fuzzy inference system |
| Creating_gaps | Creating gaps in multivariate time series |
| Creating_gap_univariate | Creating a gap in a univariate series |
| dataFSMUMI | An example of a multivariate times series having three signals |
| evalfis | FIS evaluation |
| FSMUMI | Imputation of Time Series Based on Fuzzy Logic |
| FSMUMImputation | Imputing large gaps based on the new fuzzy-weighted similarity measure |
| imp_1NA | Completing isolated missing points (1NA) |
| Indexes_size_missing | Indexes and sizes of gaps |