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robinhankin
emulator:Bayesian Emulation of Computer Programs
Allows one to estimate the output of a computer program, as a function of the input parameters, without actually running it. The computer program is assumed to be a Gaussian process, whose parameters are estimated using Bayesian techniques that give a PDF of expected program output. This PDF is conditional on a training set of runs, each consisting of a point in parameter space and the model output at that point. The emphasis is on complex codes that take weeks or months to run, and that have a large number of undetermined input parameters; many climate prediction models fall into this class. The emulator essentially determines Bayesian posterior estimates of the PDF of the output of a model, conditioned on results from previous runs and a user-specified prior linear model. The package includes functionality to evaluate quadratic forms efficiently.
Maintained by Robin K. S. Hankin. Last updated 9 months ago.
4 stars 8.27 score 56 scripts 17 dependentsekstroem
MESS:Miscellaneous Esoteric Statistical Scripts
A mixed collection of useful and semi-useful diverse statistical functions, some of which may even be referenced in The R Primer book. See Ekstrøm, C. T. (2016). The R Primer. 2nd edition. Chapman & Hall.
Maintained by Claus Thorn Ekstrøm. Last updated 1 months ago.
biostatisticspower-analysisstatistical-analysisstatistical-methodsstatistical-modelsopenblascpp
4 stars 7.69 score 328 scripts 13 dependentsrobinhankin
onion:Octonions and Quaternions
Quaternions and Octonions are four- and eight- dimensional extensions of the complex numbers. They are normed division algebras over the real numbers and find applications in spatial rotations (quaternions), and string theory and relativity (octonions). The quaternions are noncommutative and the octonions nonassociative. See the package vignette for more details.
Maintained by Robin K. S. Hankin. Last updated 1 months ago.
6 stars 7.27 score 43 scripts 3 dependentspkr-pkr
NNbenchmark:Datasets and Functions to Benchmark Neural Network Packages
Datasets and functions to benchmark (convergence, speed, ease of use) R packages dedicated to regression with neural networks (no classification in this version). The templates for the tested packages are available in the R, R Markdown and HTML formats at <https://github.com/pkR-pkR/NNbenchmarkTemplates> and <https://theairbend3r.github.io/NNbenchmarkWeb/index.html>. The submitted article to the R-Journal can be read at <https://www.inmodelia.com/gsoc2020.html>.
Maintained by Patrice Kiener. Last updated 1 years ago.
5 stars 5.33 score 283 scriptsrobinhankin
quadform:Efficient Evaluation of Quadratic Forms
A range of quadratic forms are evaluated, using efficient methods. Unnecessary transposes are not performed. Complex values are handled consistently.
Maintained by Robin K. S. Hankin. Last updated 2 months ago.
4.91 score 6 dependentscran
binhf:Haar-Fisz Functions for Binomial Data
Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason (2009).
Maintained by Matt Nunes. Last updated 7 years ago.
3.85 score 3 dependentsgormleyi
MetabolAnalyze:Probabilistic Latent Variable Models for Metabolomic Data
Fits probabilistic principal components analysis, probabilistic principal components and covariates analysis and mixtures of probabilistic principal components models to metabolomic spectral data.
Maintained by Claire Gormley. Last updated 6 years ago.
1 stars 2.69 score 18 scripts 1 dependents