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R package

MNP: R Package for Fitting the Multinomial Probit Model

MNP: R Package for Fitting the Multinomial Probit Model

... Alternate prior specifications were introduced by McCulloch and Rossi (1994) and McCul- loch, Polson, and Rossi (2000). The relative advantage of the various prior distributions are discussed by McCulloch et al. (2000), ...

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Model-based boosting in R: a hands-on tutorial using the R package mboost

Model-based boosting in R: a hands-on tutorial using the R package mboost

... The R-package mboost offers an easy entry into the world of boosting. It implements a model-based boosting approach that results in interpretable structured additive models of the same form most researchers ...

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SesIndexCreatoR: An R Package for Socioeconomic Indices Computation and Visualization

SesIndexCreatoR: An R Package for Socioeconomic Indices Computation and Visualization

... a R package [13], named SesIndexCreatoR. The package is freely available on the website of the Equit’Area project and on ...this package is to give tools as simple as possible to perform the ...

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Determination of maximum curvature point with the r package soilphysics

Determination of maximum curvature point with the r package soilphysics

... the R package soilphysics are presented and exemplified using two usual models in experimental design and soil physics ...The package soilphysics is 2/3) and currently available from the CRAN ...

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An R package for analyzing and modeling ranking data

An R package for analyzing and modeling ranking data

... Kendall package and the pspearman package for the com- putation of Kendall and Spearman rank ...in R is the RMallow package ...an R package for analyzing and modeling ranking ...

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StMoMo: An R Package for Stochastic Mortality Modelling

StMoMo: An R Package for Stochastic Mortality Modelling

... the package and Andrew Hunt for many useful discussions which have helped improved this ...the R package gnm and selflessly sharing her code and ...the R in Insurance 2015 conference in ...

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topicmodels: An R Package for Fitting Topic Models

topicmodels: An R Package for Fitting Topic Models

... The R package topicmodels currently provides an interface to the code for fitting an LDA model and a CTM with the VEM algorithm as implemented by Blei and co-authors and to the code for fitting an LDA topic ...

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clValid: An R Package for Cluster Validation

clValid: An R Package for Cluster Validation

... an R package, clValid, which contains measures for validating the results from a clustering ...the R statistical programming framework provides the additional advantage in that it can interface with ...

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An R package implementation of multifactor dimensionality reduction

An R package implementation of multifactor dimensionality reduction

... In its traditional implementation, MDR is considered both statistically and genetically non-parametric because it does not estimate any statistical model parameters or assume a particular genetic inheritance mode [1]. ...

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Interpol: An R package for preprocessing of protein sequences

Interpol: An R package for preprocessing of protein sequences

... Results: The software “ Interpol ” encodes amino acid sequences as numerical descriptor vectors using a database of currently 532 descriptors (mainly from AAindex), and normalizes sequences to uniform length with one of ...

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CDO, HAME Copulas and an R Package "CDO"

CDO, HAME Copulas and an R Package "CDO"

... Three main contributions have been accomplished in this master thesis. Firstly, we in- troduce mixed copulas to the CDS index tranches pricing as the mixed copula can model the dependence structure of the default times ...

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CCA: An R Package to Extend Canonical Correlation Analysis

CCA: An R Package to Extend Canonical Correlation Analysis

... in R (R Development Core Team 2007) performs the core of computa- tions but further work was required to provide the user with additional tools to facilitate the interpretation of the ...an R ...

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Imputation with the R Package VIM

Imputation with the R Package VIM

... The R package VIM (Templ et ...Comprehensive R Archive Network (CRAN) at http://CRAN.R-project.org/package=VIM , provides solutions for mixed scaled variables, large data sets and data sets ...

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Counterfactual : an R package for counterfactual analysis

Counterfactual : an R package for counterfactual analysis

... The quantile regression estimator calls the R package quantreg (Koenker, 2016). The option trimming specifies the value of the trimming parameter ε, with default value ε = 0.005. The option nreg sets the ...

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bridgesampling : an R Package for estimating normalizing constants

bridgesampling : an R Package for estimating normalizing constants

... As practical advice, we recommend to keep the following four points in mind when using the bridgesampling package (see also Gronau et al. 2020a, 2019). First, one should always check the posterior samples ...

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biclustermd: An R Package for Biclustering with Missing Values

biclustermd: An R Package for Biclustering with Missing Values

... Wickham’s package nycflights13 (Wickham, 2017). Per the package documentation, flights contains data on all flights in 2013 that departed NYC via JFK, LaGuardia, or ...

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The R package “eseis” – a software toolbox for environmental seismology

The R package “eseis” – a software toolbox for environmental seismology

... Locating the source of a seismic signal is one of the most relevant goals in environmental seismology. However, clas- sic seismological approaches fail or at least need modifica- tion to be appropriately applied to the ...

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Variable Importance Analysis with the multiPIM R Package

Variable Importance Analysis with the multiPIM R Package

... • multicore, mc.num.jobs, and mc.seed for running the bootstrap on multiple processor cores from a single R session. This requires the parallel package, which is distributed with R as of version ...

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Exercises: R Package Development

Exercises: R Package Development

... In R make sure you have the devtools package installed and then load it with ...a package (you can copy the path from the setwd function you just ...created package. If you’re using the ...

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DEoptim: An R Package for Global Optimization by Differential Evolution

DEoptim: An R Package for Global Optimization by Differential Evolution

... distribution over the values defined by the associated lower and upper bound. The operations of crossover, mutation, and selection explained in Section 2 transform the population so that the members of successive ...

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