conduits: conduits: CONDitional User Interface for Time Series...
In PuwasalaG/conduits: CONDitional UI for Time Series normalisation
conduits R Documentation
conduits: CONDitional User Interface for Time Series normalisation
Description
Methods and tools for conditional normalisation of time series using additive models.
This includes functions to estimate conditional means, conditional variances,
conditional autocorrelation functions and conditional cross-correlation functions.
Examples show these functions being used to estimate river flow time between two sensor locations in a river system.
Author(s)
Puwasala Gamakumara, Priyanga Dilini Talagala, Rob J Hyndman
PuwasalaG/conduits documentation built on April 22, 2023, 3:40 p.m.
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| conduits | R Documentation |
conduits: CONDitional User Interface for Time Series normalisation
Description
Methods and tools for conditional normalisation of time series using additive models. This includes functions to estimate conditional means, conditional variances, conditional autocorrelation functions and conditional cross-correlation functions. Examples show these functions being used to estimate river flow time between two sensor locations in a river system.
Author(s)
Puwasala Gamakumara, Priyanga Dilini Talagala, Rob J Hyndman
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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