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R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Protocol Buffers are a way of encoding structured data in an
efficient yet extensible format. Google uses Protocol Buffers for almost all
of its internal 'RPC' protocols and file formats. Additional documentation
is available in two included vignettes one of which corresponds to our 'JSS'
A Diceware Passphrase Implementation
The Diceware method can be used to generate strong passphrases. In short, you roll a 6-faced dice 5 times in a row, the number obtained is matched against a dictionary of easily remembered words. By combining together 7 words thus generated, you obtain a password that is relatively easy to remember, but would take several millions years (on average) for a powerful computer to guess.
Black Box Optimization and Exploration of Parameter Space
Performs prediction of a response function from simulated response values, allowing black-box optimization of functions estimated with some error. Includes a simple user interface for such applications, as well as more specialized functions designed to be called by the Migraine software (Rousset and Leblois, 2012
Manipulations of Triangular Meshes Based on the 'VCGLIB' API
Operations on triangular meshes based on 'VCGLIB'. This package integrates nicely with the R-package 'rgl' to render the meshes processed by 'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI < http://vcg.isti.cnr.it>, like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk < https://github.com/cnr-isti-vclab/vcglib> and patched to work with options determined by the configure script as well as to work with the header files included by 'RcppEigen'.
Landscape Epidemiology and Evolution
A spatio-temporal stochastic model to assess resistance deployment strategies
against plant pathogens. The model is based on stochastic geometry for describing the
landscape and the resistant hosts, a dispersal kernel for the dissemination of the
pathogen, and a SEIR (Susceptible-Exposed-Infectious-Removed) architecture to simulate
plant response to disease.
Loup Rimbaud, Julien Papaïx, Jean-François Rey, Luke G Barrett,
Peter H Thrall (2018)
Search Contributed R Packages, Sort by Package
Search contributed R packages, sort by package.
Cramer-von Mises Goodness-of-Fit Tests
It is devoted to Cramer-von Mises goodness-of-fit tests. It implements three statistical methods based on Cramer-von Mises statistics to estimate and test a regression model.
Convert Statistical Analysis Objects into Tidy Tibbles
Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
Interactive Maps with R and Leaflet