FJRubio67

FJRubio67's Stars

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia45.7k92825.4k5.5k

• SciML/DifferentialEquations.jl

  Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

  Language:Julia2.9k56882228

• JuliaDiff/ForwardDiff.jl

  Forward Mode Automatic Differentiation for Julia

  Language:Julia89427357145

• SciML/Optimization.jl

  Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.

  Language:Julia7241529184

• kassambara/survminer

  Survival Analysis and Visualization

  Language:R50530563162

• therneau/survival

  Survival package for R

  Language:R39018248106

• StanJulia/Stan.jl

  Stan.jl illustrates the usage of the 'single method' packages, e.g. StanSample, StanOptimize, etc.

  Language:Julia213116831

• SciML/diffeqr

  Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

  Language:R141113014

• SciML/SciMLBase.jl

  The Base interface of the SciML ecosystem

  Language:Julia1371215399

• lrnv/Copulas.jl

  A fully `Distributions.jl`-compliant copula package

  Language:Julia9238310

• bayesianops/stan-survival-model-workshop

  Building a Survival Model in Stan.

  Language:R56409

• mfasiolo/mvnfast

  Fast methods for multivariate normal distributions

  Language:R332139

• mvihola/AdaptiveMCMC.jl

  Implementation of some simple adaptive MCMC algorithms

  Language:Julia29268

• quantgirluk/Yield-Curves-Visual

  📈A dash app showing Interactive Visualisation of the Yield Curve UK and US

  Language:Python21101

• JuliaSurv/NetSurvival.jl

  A pure-Julia take on standard net survival routines

  Language:Julia101170

• vtex-soft/texsupport.ims_cosponsored-ejs

  LaTeX author support files for IMS co-sponsored journal EJS.

  Language:TeX8603

• davidrusi/mombf

  mombf package

  Language:C++7163

• tuerda/JTwalk

  Twalk for julia

  Language:Julia720

• PacktPublishing/Plotly-Dash-Cookbook

  Plotly Dash Cookbook, Published by Packt

  Language:Jupyter Notebook6103

• andreschristen/BLM

  Bayesian linear models, a compact detailed explanation and a simple Python implementation with efficient numeric techniques

  Language:Python510

• JuliaSurv/SurvivalDistributions.jl

  A few extra distributions used in survival analysis

  Language:Julia5130

• avramaral/relative_survival

  Extended Excess Hazard Models for Spatially Dependent Survival Data

  Language:Stan43

• JuliaSurv/SurvivalModels.jl

  Non-parametric, semi-parametric, and parametric models for standard survival analysis.

  Language:Julia4250

• Serra314/Loss_based_for_BART

  The repository contains the code used to produce the results and the figure illustrated in the article "Loss-based prior for tree topologies in BART model"s

  Language:R410

• adam-iqbal/selection-spike-slab

  Bayesian variable selection with spike and slab priors applied to sample selection.

  Language:R3102

• gygygy1989/psmcure

  Semiparametric Estimation of the Cure Fraction in Population-based Cancer Survival Analysis

  Language:R320

• ManuelaQuaresma/CSI

  An index of cancer survival to measure progress in cancer control: a tutorial

  Language:R3100

• cran/mombf

  :exclamation: This is a read-only mirror of the CRAN R package repository. mombf — Model Selection with Bayesian Methods and Information Criteria. Homepage: https://github.com/davidrusi/mombf Report bugs for this package: https://github.com/davidrusi/mombf/issues

  Language:C++1301

• JingPan1003/BayesNormTest

  Bayesian normality test r package

  Language:R120

• MinghanYang1224/MaryListerMcCammon-Project

  Language:HTML1111