Showing 12 of total 12 results (show query)
greta-dev
greta:Simple and Scalable Statistical Modelling in R
Write statistical models in R and fit them by MCMC and optimisation on CPUs and GPUs, using Google 'TensorFlow'. greta lets you write your own model like in BUGS, JAGS and Stan, except that you write models right in R, it scales well to massive datasets, and it’s easy to extend and build on. See the website for more information, including tutorials, examples, package documentation, and the greta forum.
Maintained by Nicholas Tierney. Last updated 19 days ago.
566 stars 12.53 score 396 scripts 6 dependents
hwborchers
pracma:Practical Numerical Math Functions
Provides a large number of functions from numerical analysis and linear algebra, numerical optimization, differential equations, time series, plus some well-known special mathematical functions. Uses 'MATLAB' function names where appropriate to simplify porting.
Maintained by Hans W. Borchers. Last updated 1 years ago.
29 stars 12.34 score 6.6k scripts 931 dependents
andrewhooker
PopED:Population (and Individual) Optimal Experimental Design
Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) <doi:10.1016/S0169-2607(03)00073-7>.
Maintained by Andrew C. Hooker. Last updated 6 months ago.
nlmeoptimal-designpharmacodynamicspharmacokineticspharmacometricspkpdpopulationpopulation-model
33 stars 9.58 score 300 scripts 1 dependents
poissonconsulting
extras:Helper Functions for Bayesian Analyses
Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling), 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model Builder) functions.
Maintained by Nicole Hill. Last updated 2 months ago.
9 stars 8.49 score 15 scripts 16 dependents
abarbour
psd:Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation
Produces power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency. This optimization procedure is based on the method of Riedel and Sidorenko (1995), which minimizes the Mean Square Error (sum of variance and bias) at each frequency, but modified for computational stability. The same procedure can now be used to calculate the cross spectrum (multivariate analyses).
Maintained by Andrew J. Barbour. Last updated 2 years ago.
multitaperpower-spectral-densitypower-spectrumpsdspectral-density-estimatesspectrumopenblascpp
9 stars 7.12 score 122 scripts 1 dependents
bgreenwell
ramify:Additional Matrix Functionality
Additional matrix functionality for R including: (1) wrappers for the base matrix function that allow matrices to be created from character strings and lists (the former is especially useful for creating block matrices), (2) better printing of large matrices via the generic "pretty" print function, and (3) a number of convenience functions for users more familiar with other scientific languages like 'Julia', 'Matlab'/'Octave', or 'Python'+'NumPy'.
Maintained by Brandon Greenwell. Last updated 8 years ago.
3 stars 6.32 score 154 scripts 3 dependents
santiagobarreda
phonTools:Tools for Phonetic and Acoustic Analyses
Contains tools for the organization, display, and analysis of the sorts of data frequently encountered in phonetics research and experimentation, including the easy creation of IPA vowel plots, and the creation and manipulation of WAVE audio files.
Maintained by Santiago Barreda. Last updated 1 years ago.
4 stars 6.12 score 157 scripts 7 dependents
uchidamizuki
dibble:Dimensional Data Frames
Provides a 'dibble' that implements data cubes (derived from 'dimensional tibble'), and allows broadcasting by dimensional names.
Maintained by Mizuki Uchida. Last updated 1 months ago.
multidimensional-arraystidy-data
14 stars 5.05 score 8 scripts
krzjoa
matricks:Useful Tricks for Matrix Manipulation
Provides functions, which make matrix creation conciser (such as the core package's function m() for rowwise matrix definition or runifm() for random value matrices). Allows to set multiple matrix values at once, by using list of formulae. Provides additional matrix operators and dedicated plotting function.
Maintained by Krzysztof Joachimiak. Last updated 5 years ago.
algebramatrixmatrix-manipulationcpp
4 stars 4.51 score 16 scripts
cran
matlab:'MATLAB' Emulation Package
Emulate 'MATLAB' code using 'R'.
Maintained by P. Roebuck. Last updated 9 months ago.
4.09 score 19 dependentscran
optimbase:R Port of the 'Scilab' Optimbase Module
Provides a set of commands to manage an abstract optimization method. The goal is to provide a building block for a large class of specialized optimization methods. This package manages: the number of variables, the minimum and maximum bounds, the number of non linear inequality constraints, the cost function, the logging system, various termination criteria, etc...
Maintained by Sebastien Bihorel. Last updated 3 years ago.
4.02 score 7 dependents
ocbe-uio
matlab2r:Translation Layer from MATLAB to R
Allows users familiar with MATLAB to use MATLAB-named functions in R. Several basic MATLAB functions are written in this package to mimic the behavior of their original counterparts, with more to come as this package grows.
Maintained by Waldir Leoncio. Last updated 2 years ago.
2 stars 3.48 score 1 dependents