FKF - Fast Kalman Filter
This is a fast and flexible implementation of the Kalman filter and smoother, which can deal with NAs. It is entirely written in C and relies fully on linear algebra subroutines contained in BLAS and LAPACK. Due to the speed of the filter, the fitting of high-dimensional linear state space models to large datasets becomes possible. This package also contains a plot function for the visualization of the state vector and graphical diagnostics of the residuals.
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openblas
6.74 score 14 stars 4 dependents 65 scripts 502 downloadsdynatop - An Implementation of Dynamic TOPMODEL Hydrological Model in R
An R implementation and enhancement of the Dynamic TOPMODEL semi-distributed hydrological model originally proposed by Beven and Freer (2001) <doi:10.1002/hyp.252>. The 'dynatop' package implements code for simulating models which can be created using the 'dynatopGIS' package.
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cpp
5.15 score 7 stars 9 scripts 202 downloadsdynatopGIS - Algorithms for Helping Build Dynamic TOPMODEL Implementations from Spatial Data
A set of algorithms based on Quinn et al. (1991) <doi:10.1002/hyp.3360050106> for processing river network and digital elevation data to build implementations of Dynamic TOPMODEL, a semi-distributed hydrological model proposed in Beven and Freer (2001) <doi:10.1002/hyp.252>. The 'dynatop' package implements simulation code for Dynamic TOPMODEL based on the output of 'dynatopGIS'.
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4.78 score 6 stars 1 scripts 264 downloadsfCopulae - Rmetrics - Bivariate Dependence Structures with Copulae
Provides a collection of functions to manage, to investigate and to analyze bivariate financial returns by Copulae. Included are the families of Archemedean, Elliptical, Extreme Value, and Empirical Copulae.
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4.53 score 1 stars 3 dependents 27 scripts 1.1k downloadsfNonlinear - Rmetrics - Nonlinear and Chaotic Time Series Modelling
Provides a collection of functions for testing various aspects of univariate time series including independence and neglected nonlinearities. Further provides functions to investigate the chaotic behavior of time series processes and to simulate different types of chaotic time series maps.
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4.29 score 1 stars 3 dependents 17 scripts 595 downloads