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AdequacyModel  

Adequacy of Probabilistic Models and General Purpose Optimization
View on CRAN: Click here


Download and install AdequacyModel package within the R console
Install from CRAN:
install.packages("AdequacyModel")

Install from Github:
library("remotes")
install_github("cran/AdequacyModel")

Install by package version:
library("remotes")
install_version("AdequacyModel", "2.0.0")



Attach the package and use:
library("AdequacyModel")
Maintained by
Pedro Rafael Diniz Marinho
[Scholar Profile | Author Map]
First Published: 2012-11-16
Latest Update: 2016-05-20
Description:
The main application concerns to a new robust optimization package with two major contributions. The first contribution refers to the assessment of the adequacy of probabilistic models through a combination of several statistics, which measure the relative quality of statistical models for a given data set. The second one provides a general purpose optimization method based on meta-heuristics functions for maximizing or minimizing an arbitrary objective function.
How to cite:
Pedro Rafael Diniz Marinho (2012). AdequacyModel: Adequacy of Probabilistic Models and General Purpose Optimization. R package version 2.0.0, https://cran.r-project.org/web/packages/AdequacyModel. Accessed 05 May. 2025.
Previous versions and publish date:
1.0.1 (2012-11-22 11:20), 1.0.2 (2013-07-07 15:19), 1.0.3 (2013-07-17 00:40), 1.0.4 (2013-07-23 02:29), 1.0.5 (2013-10-28 00:14), 1.0.6 (2013-11-06 07:10), 1.0.7 (2013-12-13 15:50), 1.0.8 (2013-12-20 17:01), 1.0 (2012-11-16 17:21)
Other packages that cited AdequacyModel R package
View AdequacyModel citation profile
Other R packages that AdequacyModel depends, imports, suggests or enhances
Complete documentation for AdequacyModel
Functions, R codes and Examples using the AdequacyModel R package
Some associated functions: AdequacyModel-package . TTT . carbone . descriptive . goodness.fit . pso . 
Some associated R codes: TTT.R . descriptive.R . goodness.fit.R . pso.R .  Full AdequacyModel package functions and examples
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