slds-lmu / lecture_i2ml
I2ML lecture repository
☆146Updated this week
Related projects: ⓘ
- Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.☆166Updated 2 years ago
- The bookdown version lives here:☆125Updated last year
- The bookdown version lives here: https://bookdown.org/content/3686☆147Updated 3 months ago
- Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The re…☆165Updated last year
- Variable Importance Plots (VIPs)☆187Updated 10 months ago
- Effect size measures and significance tests☆189Updated 4 months ago
- worked R examples☆114Updated 2 weeks ago
- Online version of Bischl, B., Sonabend, R., Kotthoff, L., & Lang, M. (Eds.). (2024). "Applied Machine Learning Using mlr3 in R". CRC Pres…☆253Updated 2 weeks ago
- ☆169Updated 11 months ago
- The bookdown version lives here: https://bookdown.org/content/3890☆392Updated last year
- Regression and other stories R examples☆321Updated last month
- Supervised machine learning case studies in R! 💫 A free interactive tidymodels course☆221Updated last year
- Tidy data frames and expressions with statistical summaries 📜☆312Updated last week
- Utilities for analyzing Bayesian models and posterior distributions☆561Updated this week
- This is a planning repository where I develop Tidyverse-related workshops.☆195Updated 4 years ago
- 📍 Interactive Studio for Explanatory Model Analysis☆322Updated last year
- Regression Modeling Strategies☆170Updated last month
- Resources from my Rstudio::conf 2019 talk☆218Updated 5 years ago
- One day course on causal inference, MPI-EVA 9 September 2021☆242Updated 2 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆239Updated 2 years ago
- powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.☆101Updated 9 months ago
- Explanatory Model Analysis. Explore, Explain and Examine Predictive Models☆179Updated 5 months ago
- Probabilistic Learning for mlr3☆126Updated last week
- Drawing graphical models for causal inference using LaTeX☆113Updated last year
- Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge☆249Updated 10 months ago
- Diagnostics for HierArchical Regession Models☆204Updated last week
- R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 clas…☆433Updated last week
- Translating ML into Bayes, one line at a time☆72Updated last year
- Bayesian Gaussian Graphical Models☆54Updated last month
- A document introducing generalized additive models.📈☆72Updated 8 months ago