Peter Jemley MSHI's repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
fpp3package
All data sets required for the examples and exercises in the book "Forecasting: principles and practice" (3rd ed, 2020) by Rob J Hyndman and George Athanasopoulos <http://OTexts.org/fpp3/>. All packages required to run the examples are also loaded.
ontologies-w-python
Source Code for 'Ontologies with Python' by Lamy Jean-Baptiste
supplementary-material
A bookdown-based collection of supplementary material from the clinical prediction models book.
books
Books by Jeff Leek
dcurves
Decision Curve Analysis
dl_book_docker
docker container for the deep learning book
epimdr
R package for "Epidemics: Models and data using R"
GAMs-biomedical-research
Repository that contains all the data, code and manuscript files for a paper that explores the use of GAMs in biomedical research.
gapminder
Excerpt from the Gapminder data, as an R data package and in plain text delimited form
happy-git-with-r
Using Git and GitHub with R, Rstudio, and R Markdown
hesim-manuscript
Manuscript for the hesim R package
hesim-presentations
Presentations related to hesim
HSB
Likelihood and Bayesian Inference - Supplementary Material
PACS_Prediction_Model
R code & data for manuscript: Cervia, C., Zurbuchen, Y., Taeschler, P. et al. Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome. Nat Commun 13, 446 (2022). https://doi.org/10.1038/s41467-021-27797-1
purrr-tutorial
Materials for getting to the know the R package purrr
pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
rcea
Course materials for learning how to perform applied cost-effectiveness analysis with R
readingpapers
A guide to reading scientific papers
repurrrsive
Recursive lists to use in teaching and examples, because there is no iris data for lists.
rsurv
Efficient and flexible random generation of survival times
sand
Statistical Analysis of Network Data with R, 2nd Edition
software
Leek group software
stat_rethinking_2022
Statistical Rethinking course winter 2022
Statistical-Analysis-with-Swift
Source Code
swift-algorithms
Commonly used sequence and collection algorithms for Swift
ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
Valentine_in_R
@kjhealy's R code for a Valentine's Heart