Comments (1)
SteffenMoritz
commented on May 25, 2024
Will be fixed with 1.8 version.
na.interpolation will be up to 10000 times faster now.
Inspiration on how to speed up was actually taken from zoo package. So thx to the creators of this package. Did some additional improvements so the current 1.8 imputeTS na.locf function is also about 10 times faster than the na.locf function of zoo.
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Related Issues (20)
- na_replace doesn't allow replacement full NA vector HOT 3
- na_kalman is slow for long time series HOT 8
- Feature: Allow bounded time series interpolation HOT 1
- plotNA.imputation etc. not working with par()/layout() HOT 1
- Detailed Model Summary in na_kalman() HOT 2
- Faceting HOT 2
- Able to install but not load HOT 6
- Suggestion: Applying the na_mean function considering only values from the same periods. HOT 1
- Documentation needs updating HOT 5
- How to choose the best algorithm ? HOT 2
- Support imputing around a circle (e.g. wind direction) HOT 5
- Getting Error on part of my time series HOT 3
- Return fitting statistics and/or residuals HOT 2
- model0 or model In file na_kalman.R? HOT 1
- multiple imputations
- na_kalman: possible convergence problem: 'optim' gave code = 52 and message 'ERROR: ABNORMAL_TERMINATION_IN_LNSRCH'
- possible convergence problem: 'optim' gave code = 1 and message 'NEW_X'
- 'libRblas.so: No such file or directory' during package installation HOT 3
- Converting from ee.Image data to Numeric Vector (vector) or Time Series (ts) object HOT 2
- Error in `optim()`: ! L-BFGS-B needs finite values of 'fn' HOT 1
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