ASKurz / Working-through-Regression-and-other-stories
Working through "Regression and other stories," one chapter at a time
☆52Updated last year
Alternatives and similar repositories for Working-through-Regression-and-other-stories:
Users that are interested in Working-through-Regression-and-other-stories are comparing it to the libraries listed below
- Translating ML into Bayes, one line at a time☆75Updated last year
- ☆76Updated last year
- Regression and Other Stories - Tidyverse Examples☆99Updated 3 years ago
- Building a Survival Model in Stan.☆57Updated last year
- ☆73Updated 2 years ago
- By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.☆66Updated 3 years ago
- Fit and compare the most popular human mortality laws - R package☆30Updated last year
- ☆77Updated 4 years ago
- ☆21Updated last week
- priorsense: an R package for prior diagnostics and sensitivity☆57Updated 2 months ago
- Course materials for Kieran Healy's rstudio::conf 2020 data visualization workshop☆83Updated 4 years ago
- R package to perform Bayesian regularization using Stan.☆25Updated 2 years ago
- ☆32Updated 3 years ago
- ☆49Updated 2 years ago
- simstudy: Illuminating research methods through data generation☆82Updated 5 months ago
- Panel Data Econometrics with R☆54Updated this week
- Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in…☆41Updated 3 months ago
- Slides for Seattle University Course on Data Communications☆65Updated 11 months ago
- Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the …☆41Updated this week
- Recipes for using R's data.table package☆47Updated 5 years ago
- ☆54Updated last year
- Introduction to ML with R using tidymodels☆46Updated 2 years ago
- powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.☆102Updated last year
- An R package for extracting results from mixed models that are easy to use and viable for presentation.☆68Updated 2 years ago
- 🔦 Easily Extracting Information About Your Data in R☆54Updated last year
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆18Updated 2 years ago
- Hierarchical continuous time state space modelling☆41Updated last week
- Analysis of simulation studies including Monte Carlo error☆27Updated 8 months ago
- Conducting and Visualizing Specification Curve Analyses☆67Updated 7 months ago
- R package to allow tidybayes to work with the rethinking package☆25Updated 9 months ago