Peter Jemley MSHI's repositories
cardinalkit-docs
Documentation website for CardinalKit
AssurancePlatform
Project to facilitate creation of Assurance Cases
Open_Safely_Getting_Started
https://docs.opensafely.org/getting-started/
opensafely_hello_world
OpenSafely Getting Started Guide
Asynchronous-Programming-with-SwiftUI-and-Combine
Code for my book, SwiftUI & Combine
awesome-quarto
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
caret
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
documentation
Documentation for OpenSAFELY platform
EvidSynthTB
Bayesian Multi-Parameter Evidence Synthesis (MPES) to estimate TB epidemiological parameters.
Factory
A new approach to Container-Based Dependency Injection for Swift and SwiftUI.
greport
R greport package: Graphical reporting of clinical trials
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
hesim
Health economic simulation modeling and decision analysis
Hmisc
Harrell Miscellaneous
jbc-turing-rss-testdebiasing
Debiasing targeted testing data
mlfactor.github.io
Website dedicated to a book on machine learning for factor investing
openml-r
R package to interface with OpenML
Pinch
One-click fix for Mac trackpad pinch to zoom gesture
rmsc
Regression Modeling Strategies Course
semver
Semantic Versioning Specification
semver.org
Semantic Versioning spec and website
Shiny_Complex_Data_Dashboard
This project consists of a working prototype of a comprehensive dashboard for serving complex data to researchers. The project uses the R language and the Shiny framework. It produces an efficient web-based GUI for querying different facets of the included dataset. The project includes other deployment options. The project’s first phase is exploratory. Its second phase readies and puts the exploratory phase into production. The exploratory phase does the following — Creates a reproducible environment for such an exploratory data project using “renv” dependency management in an isolated project environment; Works with cancer genomic data analyzed with the “maftools” Mutation Annotation Format; Manipulates tabular data with “dplyr” and “tidyr”; Produces standard cancer data diagnostic plots with the “ggplot2” general-purpose plotting library, as well as domain-specific cancer genomics plots with “maftools”. While creating the dashboard for serving complex data to researchers, the project creates an R dashboard package with — The R package development tools “dev tools”; An interactive dashboard web application with “Shiny”; A JavaScript-based library for interactive plots with “Plotly”. The project then deploys an R dashboard application with the framework for building and deploying Shiny apps, “golem”; and other optional deployment versions of the project with Docker.
StatKit
A collection of statistical analysis tools for your Swift programs.
swift
The Swift Programming Language
swift-evolution
This maintains proposals for changes and user-visible enhancements to the Swift Programming Language.
the-turing-way
Host repository for The Turing Way: a how to guide for reproducible data science