Alternatives and similar repositories for short-course

Users that are interested in short-course are comparing it to the libraries listed below

• poissonconsulting / mcmcr
  An R package to manipulate MCMC samples
  ☆17Updated last month
• ropensci / dynamite
  Bayesian Inference of Complex Panel Data
  ☆34Updated 3 weeks ago
• stephenslab / wflow-divvy
  workflowr project for exploring the 2016 Divvy trip data.
  ☆15Updated 5 years ago
• goldingn / gpflowr
  Gaussian processes in TensorFlow via R
  ☆16Updated 7 years ago
• seabbs / idmodelr
  Infectious disease model library and utilities
  ☆14Updated 2 years ago
• flyaflya / causact
  causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their o…
  ☆47Updated 5 months ago
• covidestim / covidestim
  Bayesian nowcasting with adjustment for delayed and incomplete reporting to estimate COVID-19 infections in the United States
  ☆27Updated last month
• wilsonka / pointless-spatial-modeling
  ☆12Updated 7 years ago
• USCbiostats / fmcmc
  A friendly MCMC framework
  ☆16Updated last month
• emilyriederer / conf-speaker-experience
  A list of "good practices" for creating a good environment for conference speakers. Based on my own experience as a speaker but prepared …
  ☆29Updated 6 years ago
• reconverse / incidence2
  Compute and visualise incidence (reworking of the original incidence package)
  ☆17Updated last month
• mrc-ide / dust
  Iterate multiple realisations of stochastic models
  ☆20Updated 3 months ago
• ellisp / blog-source
  Source code for http://freerangestats.info
  ☆18Updated last week
• akawiecki / statistical_rethinking_inla
  homework problems from the 2nd edition of Statistical Rethinking by Richard McElreath worked in R-INLA
  ☆24Updated 4 years ago
• bearloga / tinydensR
  A set of RStudio add-ins for playing with distribution parameters and visualizing the resulting probability density and mass functions.
  ☆20Updated 5 years ago
• greta-dev / greta.gp
  a greta extension for Gaussian process modelling
  ☆19Updated 6 months ago
• gasparrini / ItalyCOVIDdeath
  Two-stage interrupted time series analysis of excess mortality in Italy during the COVID-19 pandemic
  ☆16Updated 5 months ago
• matthewfeickert / R-in-Jupyter-with-Binder
  Example of how to use R in Jupyter notebooks and make compatible with Binder
  ☆17Updated 6 years ago
• jpiironen / dimreduce
  ☆8Updated 4 years ago
• epiforecasts / inc2prev
  Estimate epidemiological quantities from repeated cross-sectional prevalence measurements
  ☆17Updated last year
• kingaa / sbied
  Simulation-based Inference for Epidemiological Dynamics
  ☆25Updated 2 months ago
• socialcontactdata / contactdata
  R package with social contact data for 177 regions (Prem et al. 2017; Prem et al. 2021)
  ☆9Updated this week
• lsbastos / Delay
  Scripts and data for Modelling reporting delay for disease surveillance data using Bayesian methods.
  ☆15Updated 6 years ago
• DrMattG / SDGsR
  R package for interacting with the UN Sustainable Development Goals
  ☆9Updated 4 months ago
• japilo / colorednoise
  R package for simulating and analyzing temporally autocorrelated populations.
  ☆10Updated last year
• rOpenGov / iotables
  Importing and Manipulating Symmetric Input-Output Tables
  ☆22Updated 7 months ago
• cboettig / bad-forecast-good-decision
  Utility provides a more meaningful measure of forecast skill than goodness-of-fit
  ☆18Updated 3 years ago
• sarahromanes / multiDA
  High Dimensional Discriminant Analysis in R
  ☆11Updated 6 years ago
• bob-carpenter / case-studies
  Case studies in applied and computational statistics.
  ☆38Updated 2 months ago
• goldingn / neuts2efficacy
  modelling SARS-CoV-2 vaccine efficacy from antibody titres, and impact of waning and variants on transmission
  ☆17Updated last year