wlandau/downsize

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Created almost 8 years ago
Updated about 1 year ago

wlandau/downsize

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Toggle the test and production versions of your workflow with the flip of a global option.

learndrake

An interactive free online short course on the drake R package

crew

A distributed worker launcher

targets-tutorial

Short course on the targets R package

targets-shiny

Example Shiny app containing a targets pipeline.

drake-examples

Example workflows for the drake R package

targets-minimal

A minimal example data analysis project with the targets R package

targets-four-minutes

Get started with the {targets} R package in four minutes

targets-stan

An example project to validate a Stan model in a targets pipeline

txtq

A small message queue for interprocess communication

instantiate

Pre-compiled CmdStan models in R packages

drakeplanner

A web app to create new drake projects

crew.cluster

crew launcher plugins for traditional high-performance computing clusters

targetsketch

Sketch a pipeline of targets in an interactive web app

dotfiles

my .bashrc and related files

targets-keras

An example Keras pipeline with the targets R package

gpu

Materials for the Iowa State University Statistics Department fall 2012 lecture series on general purpose GPU computing.

appPackage

This Shiny app is a package! This package is a Shiny app!

grapes

Turn R functions into binary operators.

parallelRemake

Accelerate make/remake workflows in R.

JeffLeekMeme

True facts about Jeff Leek: https://yihui.name/en/2017/04/jeff-leek-facts/

crew.aws.batch

A {crew} launcher plugin for AWS Batch

rpharma2023-pipeline

R/Pharma 2023 workshop example code: leveraging {targets} and {crew} to simulate clinical trials

rmedicine2021-pipeline

Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

targetopia

An R package ecosystem for democratized reproducible pipelines at scale

historicalborrowlong

Longitudinal Bayesian historical borrowing models

targets-debug

Slides and example code for debugging {targets} pipelines

workers

Persistent and transient parallel workers for R

fbseq

A fully Bayesian, CUDA-accelerated method of analyzing RNA-seq data

rpharma2023

R/Pharma 2023 workshop: leveraging {targets} and {crew} to simulate clinical trials

targets-intro

Introduction to the {targets} R package

remakeGenerator

Generate large remake-style workflows with minimal code.

larug2020

Presentation about the targets R package at the Los Angeles R Users Group Meetup

fbseqCUDA

CUDA-accelerated backend of fbseq for the MCMC.

fbseqStudies

comparison study for fbseq

wlandau.github.io

Will Landau's portfolio

historicalborrow

Non-longitudinal Bayesian historical borrowing models

rna-seq-stan

A comparison of Eric's method to other methods

stantargets-talk

Presentation about the {stantargets} R package

wildcard

Templating for data frames.

r-lille-2021

Presentation about {targets} to the Lille R User Meetup Group

rmedicine2021-slides

Slides for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)

stantargets-example-validation

A minimal example of the stantargets package

condo

This is a tutorial on how to log in and run R jobs on the Iowa State condo cluster.

rcppcuda

A skeleton R package that uses Rcpp, CUDA, and s4 classes. This is a learning exercise.

ncb2023

Short course on Bayesian methods for nonclinical statisticians: https://github.com/wlandau/ncb2023

sdss2019

Venue: 2019 ASA Symposium on Data Science and Statistics

nyhackr2020

Presentation on targets at the New York Open Statistical Programming Meetup

rmedicine2020

Slides and source code for a talk about drake at R/Medicine 2020.

bayes-lund-2021

A talk on Target Markdown and {stantargets} at Bayes@Lund

stat305

targets-ohdsi

Presentation on {targets} to OHDSI

rpharma2020

Slides and source code for a talk about targets at R/Pharma 2020.

workflowHelper

Analyze multiple datasets in multiple ways with a smooth, efficient, parallelized, reproducible R workflow.