denisashah Goto Github PK

bias_aipw

Accompanying material to Model misspecification and bias for inverse probability weighting estimators of average causal effects

causaltutorial

Causal Inference with R

confusionmatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

csp2020-workshop

:dart: :school_satchel: Materials for a full-day workshop on Targeted Learning with the tlverse at the 2020 Conference on Statistical Practice

era5_extraction_and_visualization

Repository to download, process, and visualize local climate data from ERA5

fdacourse2019

Prof. Cao's Slides and R codes for Functional Data Analysis Course

fftrees

An R package to create and visualise fast-and-frugal decision trees (FFTs)

frontiers_2017

Supplement for Frontiers article

geocompr

Lovelace's Open source book: Geocomputation with R

krigr

An R Package for downloading, preprocessing, and statistical downscaling of the European Centre for Medium-range Weather Forecasts ReAnalysis 5 (ERA5) family provided by the European Centre for Medium‐Range Weather Forecasts (ECMWF).

learning-copernicus

microbvs

ncdfwithrexample

paper_ml_whitemold

Codes used in the manuscript "Machine learning model interpretation for investigating environmental effects on plant disease epidemics"

publications-code

Publicly available code from Paul Zivich's publications

rfvariableselectionwithfhb

Random forest models for predicting Fusarium head blight epidemics in wheat

rstudiomeetup_fda

Intro to Functional Data Analysis - Part 2 RStudio Meetup Talk

sim-tmle-tutorial

Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017

soiltype

An R package to interplay soil characterization in quantitative genetics and precision agriculture.

sqlite_d-rug_demo

short demo of sqlite with dplyr and R

tidybayes

Bayesian analysis + tidy data + geoms (R package)

tidyfun

Clean, wholesome, tidy fun with functional data in R

tidytreatment

Tidy methods for Bayesian treatment effect models

tutorialcomputationalcausalinferenceestimators

Tutorial_Computational_Causal_Inference_Estimators

unlikely_risk_factors_covid-19

Code for the essay on confounding/selection bias as important limitations on association studies.

zidm

Code for Matt Koslovsky's paper