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CausalKinetiX (version 0.2.1)

Learning Stable Structures in Kinetic Systems

Description

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) .

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Version

Install

install.packages('CausalKinetiX')

Monthly Downloads

30

Version

0.2.1

License

GPL-3

Maintainer

Niklas Pfister

Last Published

June 20th, 2019

Functions in CausalKinetiX (0.2.1)

generate.data.targetmodel

Target model based on predictor trajectories
generate.data.hidden

Hidden variable model
CausalKinetiX.modelranking

CausalKinetix.modelranking
generate.data.maillard

Maillard reaction
constrained.smoothspline

constrained.smoothspline
ode.solver

ode.solver
CausalKinetiX

CausalKinetiX