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CausalKinetiX
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Download and install CausalKinetiX package within the R console
Install from CRAN:
install.packages("CausalKinetiX")
Install from Github:
library("remotes")
install_github("cran/CausalKinetiX")
Install by package version:
library("remotes")
install_version("CausalKinetiX", "0.2.1")
Attach the package and use:
library("CausalKinetiX")
Maintained by
Niklas Pfister
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-26
Latest Update: 2023-05-19
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 arXiv1810.11776.
How to cite:
Niklas Pfister (2019). CausalKinetiX: Learning Stable Structures in Kinetic Systems. R package version 0.2.1, https://cran.r-project.org/web/packages/CausalKinetiX. Accessed 21 Dec. 2024.
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Functions, R codes and Examples using
the CausalKinetiX R package
Some associated functions: CausalKinetiX.modelranking . CausalKinetiX . constrained.smoothspline . generate.data.hidden . generate.data.maillard . generate.data.targetmodel . ode.solver .
Some associated R codes: CausalKinetiX.R . CausalKinetiX.modelranking.R . constrained.smoothspline.R . generate.data.hidden.R . generate.data.maillard.R . generate.data.targetmodel.R . ode.solver.R . utils.R . Full CausalKinetiX package functions and examples
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