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pse

R package for exploration of parameter spaces

This package aims to provide a simple and robust approach to the exploration of parameter spaces of computational models, focused around the Latin Hypercube Sampling.

The theoretical revision provided in [this arXiv paper] (http://arxiv.org/abs/1210.6278) and the examples provided in the package focus on ecological models, with emphasis in structured population growth models. However, the functions provided should be adequate to other areas of knowledge as well.

We also propose a new methodology based on the likelihood statistical paradigm, called PLUE - Profiled Likelihood Uncertainty Estimation. The theoretical background for it can be found in [this arXiv paper] (http://arxiv.org/abs/1508.03354).

The package is available on CRAN at http://cran.r-project.org/web/packages/pse/ and can be installed with

install.packages("pse")

This package was developed as part of my Master's degree program, which was funded by [CAPES] (http://www.capes.gov.br/) (2012-2014).

More detailed information can be found [here] (http://github.com/andrechalom/pse-theory).

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install.packages('pse')

Monthly Downloads

9

Version

0.4.5

License

GPL-3

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Maintainer

Andre Chalom

Last Published

March 14th, 2016

Functions in pse (0.4.5)

cv

Coefficient of Variation
machinefile

Convenience for Clustering
plotcv

Uncertainty and Sensitivity Plots.
LHS

Latin Hypercube Sampling for Uncertainty and Sensitivity Analyses
get.results

LHS Accessor Functions.
print.pcc

External functions
sbma

Calculates the Symetrized Blest Measure of Agreement between two samples
LHScorcorr

Correlation Matrix Correction
PLUE

Profiled Likelihood Uncertainty Estimation
pic

Partial Inclination Coefficient Estimates the partial inclination coefficient of a model response in relation with all model input variables.
target.sbma

Adaptative generation of Latin Hypercubes