dmuck

dmuck's Stars

• khelmy/intelligent-bitcoin-miner

  The Intelligent Bitcoin Miner, Part II

  Language:Python2010

• stan-dev/cmdstan

  CmdStan, the command line interface to Stan

  Language:C++20590

• stan-dev/stan

  Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

  Language:C++2.6k365

• stan-dev/math

  The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

  Language:C++723183

• syclik/stan-algorithms

  Reimplementation of Stan algorithms

  Language:Shell20

• spinkney/helpful_stan_functions

  Language:JavaScript6514

• jtimonen/lgpr

  R-package for interpretable nonparametric modeling of longitudinal data using additive Gaussian processes. Contains functionality for inferring covariate effects and assessing covariate relevances. Various models can be specified using a convenient formula syntax.

  Language:R251

• h-Klok/StatsWithJuliaBook

  Language:Julia1.1k279

• fusaroli/CognitiveModelingRecoded

  Stan + cmdstanr recoding of Bayesian Cognitive Modeling

  Language:R111

• jozefhajnala/nhlapi

  A Minimum-Dependency R Interface to the NHL API

  Language:R307

• shirdekel/phd_thesis

  Shir Dekel's PhD Thesis

  Language:HTML3

• andrewheiss/who-cares-about-crackdown

  📊 📄 Suparna Chaudhry, Marc Dotson, and Andrew Heiss, "Who Cares About Crackdowns? Exploring the Role of Trust in Individual Philanthropy"

  Language:TeX243

• gadenbuie/rsthemes

  🔮 Full RStudio IDE and Syntax Themes

  Language:SCSS57843

• sinhrks/stan-statespace

  Stan models for state space time series

  Language:R14042

• stan-dev/example-models

  Example models for Stan

  Language:HTML765478

• rmcelreath/stat_rethinking_2020

  Statistical Rethinking Course Winter 2020/2021

  Language:R651112

• tndoan/ISLR.jl

  JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

  Language:Jupyter Notebook14125

• avehtari/BDA_course_Aalto

  Bayesian Data Analysis course at Aalto

  Language:TeX2.1k553

• pdhoff/amen

  R package for analysis of network and dyadic data

  Language:R2611

• uo-ec607/lectures

  Lecture notes for EC 607

  Language:HTML1.4k583

• liang-chen/IU-PhD-Thesis-Template

  Indiana University PhD Dissertation Latex Template

  Language:TeX2626