adrianolszewski / Logistic-regression-is-regression
Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing tools in epxerimental research (like clinical trials). I will share information from my field to break the weird situation where I am told that what I and lots of statisticians do on daily basis cannot be done…
☆26Updated 8 months ago
Alternatives and similar repositories for Logistic-regression-is-regression:
Users that are interested in Logistic-regression-is-regression are comparing it to the libraries listed below
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆57Updated this week
- Supplemental R Examples on Applied Conformal Prediction. These examples follow Practical Guide to Applied Conformal Prediction in Python,…☆42Updated last year
- Materials for the "Generalised Additive Models in R" workshop for Forecasting for Social Good.☆41Updated 11 months ago
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆74Updated last year
- timeseriesdatasets R Package - A collection of time series data sets for the R programming language☆10Updated 5 months ago
- RStudio::conf(2022) Resources and Materials for the "Making Data Pipelines in R" Talk.☆20Updated 2 years ago
- Building a Survival Model in Stan.☆57Updated last year
- Prototype Shiny apps in Excalidraw☆59Updated 8 months ago
- ☆27Updated 4 months ago
- Shiny App for Echarts Viz, ML, Forecasting, Data Wrangling, Feature Engineering, Inference, and Code Generation☆62Updated 5 months ago
- Performance evaluation metrics for supervised and unsupervised machine learning, statistical learning and artificial intelligence applic…☆21Updated this week
- Spells for everyday living. (also a book coming out in 2025)☆64Updated this week
- Source code for the book "Doing Data Science in R" by Mark Andrews (SAGE publishers, 2021)☆26Updated 2 years ago
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆18Updated 2 years ago
- ☆21Updated 2 years ago
- ☆17Updated last year
- Handling Missing Data in R with MICE☆18Updated 4 years ago
- A template to launch RStudio inside a container with the local RStudio settings with docker-compose☆16Updated 11 months ago
- Bayesian variable selection for survival data (tutorial)☆14Updated last year
- CRAN Task View: Causal Inference☆16Updated 10 months ago
- 2024-01-23 R-Ladies Nairobi☆24Updated last year
- Cookbook to provide solutions to common tasks and problems in using Polars with R☆58Updated 9 months ago
- Analysis of simulation studies including Monte Carlo error☆28Updated 8 months ago
- Working through "Regression and other stories," one chapter at a time☆52Updated last year
- Materials for R-Ladies Abuja geospatial visualization workshop☆14Updated 3 years ago
- Book: R for Economic Research☆19Updated last year
- ☆15Updated 5 months ago
- This is the sample repo used for the Reproducibility with Rstudio lesson. It contains the datasets, figures, and documents used for a Qua…☆12Updated last year
- Data Cleaning workshop for the 2023 R/Medicine Conference☆16Updated last year
- tidymodels code for the book Applied Predictive Modeling☆44Updated 2 years ago