jamesmbaazam

jamesmbaazam's Stars

• wch/r-source

  Read-only mirror of R source code from https://svn.r-project.org/R/, updated hourly. See the build instructions on the wiki page.

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• Tazinho/Advanced-R-Solutions

  Set of solutions for the Advanced R programming book

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• Everything-Open-Source/open-source-events

  A list of Open Source conferences or events to look out for.

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• royal-statistical-society/datavisguide

  Introductory guide to the art and science of data visualisation. Insights, advice, and examples (with code) to make data outputs more readable, accessible, and impactful.

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• TidierOrg/TidierData.jl

  Tidier data transformations in Julia, modeled after the dplyr/tidyr R packages.

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• betanalpha/stan_intro

  Draft introduction to probability and inference aimed at the Stan manual.

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• TimTeaFan/loopurrr

  Translate purrr functions into regular for loops

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• vincentarelbundock/rethinking2

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• spinkney/helpful_stan_functions

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• r-lib/generics

  Common generic methods

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• jonocarroll/purrr2for

  Automagically Convert purrr R Calls to Efficient Julia for Loops

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• CDCgov/wastewater-informed-covid-forecasting

  Wastewater-informed COVID-19 forecasting models submitted to the COVID-19 Forecast Hub

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• r-hub/rhub2

  The 'R-hub' package builder, v2

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• epiforecasts/forecast.vocs

  Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.

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• OvertonC/Transmission-Dynamics-of-Monkeypox-in-the-United-Kingdom

  Repository containing stan models for estimating delay distributions in the presence of right-truncation, epidemic phase, and interval-censoring biases

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• dajmcdon/rtestim

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• epiforecasts/nowcasting.example

  Estimate reporting delays and use them for nowcasting

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• kathsherratt/r-for-research

  Materials developed for a workshop at LSHTM introducing good practices using R for research

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• open-courses-statistics-data-science/introduction_to_stan

  A half-day course providing an introduction to Stan

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• OvertonC/nowcasting_the_2022_mpox_outbreak_in_england

  Code and data associated with the paper "Nowcasting the 2022 mpox outbreak in England"

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• jamesmbaazam/awesome-python-data-science

  Probably the best curated list of data science software in Python.

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• jamesmbaazam/Bayesian-Modelling-in-Python

  A python tutorial on bayesian modeling techniques (PyMC3)

  1

• jamesmbaazam/covid19_stan_model_template

  Example model that runs very simple COVID model

  1

• jamesmbaazam/mobility

  An R package containing functions for parsing mobility data, fitting models using Bayesian inference, and simulating mobility patterns.

  1

• jamesmbaazam/nowcasting_COVID19

  Now-casting Japan during the COVID-2019 Pandemic at the beginning of March 2020

  1

• jamesmbaazam/RcppRoll

  Fast rolling functions through Rcpp

  1

• jamesmbaazam/recon_docker

  Various docker images for RECON

  1

• jamesmbaazam/stan-statespace

  Stan models for state space time series

  1

• jamesmbaazam/Stan_SIR_model

  Well documented example of (S)usceptible, (I)nfectious, (R)esolved model for influenza

  1

• jamesmbaazam/statistical_rethinking_rstan_translation

  Examples from McElreath's Statistical Rethinking, First edition coded in Stan.

  1