sbpiper-package: sbpiper: Data Analysis Functions for 'SBpipe' Package
In pdp10/sbpiper: Data Analysis Functions for 'SBpipe' Package
Description
Author(s)
See Also
Description
Provides an API for analysing repetitive parameter estimations and simulations of
mathematical models. Examples of mathematical models are Ordinary Differential equations (ODEs)
or Stochastic Differential Equations (SDEs) models. Among the analyses for parameter
estimation 'sbpiper' calculates statistics and generates plots for parameter density, PCA of the best
fits, parameter profile likelihood estimations (PLEs), and 2D parameter PLEs. These results can
be generated using all or a subset of the best computed parameter sets. Among the analyses
for model simulation 'sbpiper' calculates statistics and generates plots for deterministic
and stochastic time courses via cartesian and heatmap plots. Plots for the scan of one or two model
parameters can also be generated. This package is primarily used by the software 'SBpipe'.
Citation: Dalle Pezze P, Le Nov<c3><a8>re N. SBpipe: a collection of pipelines for automating
repetitive simulation and analysis tasks. BMC Systems Biology. 2017;11:46. <doi:10.1186/s12918-017-0423-3>.
Author(s)
Maintainer: Piero Dalle Pezze piero.dallepezze@gmail.com (0000-0003-1695-6763) [copyright holder]
See Also
Useful links:
pdp10/sbpiper documentation built on May 17, 2019, 11:17 p.m.
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Description Author(s) See Also
Description
Provides an API for analysing repetitive parameter estimations and simulations of mathematical models. Examples of mathematical models are Ordinary Differential equations (ODEs) or Stochastic Differential Equations (SDEs) models. Among the analyses for parameter estimation 'sbpiper' calculates statistics and generates plots for parameter density, PCA of the best fits, parameter profile likelihood estimations (PLEs), and 2D parameter PLEs. These results can be generated using all or a subset of the best computed parameter sets. Among the analyses for model simulation 'sbpiper' calculates statistics and generates plots for deterministic and stochastic time courses via cartesian and heatmap plots. Plots for the scan of one or two model parameters can also be generated. This package is primarily used by the software 'SBpipe'. Citation: Dalle Pezze P, Le Nov<c3><a8>re N. SBpipe: a collection of pipelines for automating repetitive simulation and analysis tasks. BMC Systems Biology. 2017;11:46. <doi:10.1186/s12918-017-0423-3>.
Author(s)
Maintainer: Piero Dalle Pezze piero.dallepezze@gmail.com (0000-0003-1695-6763) [copyright holder]
See Also
Useful links:
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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