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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 22 days ago.
566 stars 12.53 score 396 scripts 6 dependents
jaimemosg
EstimationTools:Maximum Likelihood Estimation for Probability Functions from Data Sets
Total Time on Test plot and routines for parameter estimation of any lifetime distribution implemented in R via maximum likelihood (ML) given a data set. It is implemented thinking on parametric survival analysis, but it feasible to use in parameter estimation of probability density or mass functions in any field. The main routines 'maxlogL' and 'maxlogLreg' are wrapper functions specifically developed for ML estimation. There are included optimization procedures such as 'nlminb' and 'optim' from base package, and 'DEoptim' Mullen (2011) <doi:10.18637/jss.v040.i06>. Standard errors are estimated with 'numDeriv' Gilbert (2011) <https://CRAN.R-project.org/package=numDeriv> or the option 'Hessian = TRUE' of 'optim' function.
Maintained by Jaime Mosquera. Last updated 1 years ago.
distance-samplingmaximum-likelihood-estimationttt-plot
4 stars 6.07 score 97 scripts 1 dependents
bioc
GSEAlm:Linear Model Toolset for Gene Set Enrichment Analysis
Models and methods for fitting linear models to gene expression data, together with tools for computing and using various regression diagnostics.
Maintained by Assaf Oron. Last updated 5 months ago.
4.08 score 8 scripts
