Learning Stable Structures in Kinetic Systems

Implementation of 'CausalKinetiX', a framework for learning stable structures in kinetic systems. Apart from the main functions CausalKinetiX() and CausalKinetiX.modelranking() it includes functions to generate data from three simulations models, which can be used to benchmark structure learning methods for linear ordinary differential equation models. A detailed description of the underlying methods as well as details on the examples are given in Pfister, Bauer and Peters (2018) .


Reference manual

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0.2.1 by Niklas Pfister, a year ago

Browse source code at https://github.com/cran/CausalKinetiX

Authors: Niklas Pfister [aut, cre] , Stefan Bauer [aut] , Jonas Peters [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports fda, cvTools, quadprog, randomForest, deSolve, stats, graphics, pspline, utils, glmnet, sundialr

See at CRAN