rlbarter / Practical-Statistics
β24Updated 4 years ago
Related projects β
Alternatives and complementary repositories for Practical-Statistics
- π―π Generalized Targeted Learning Frameworkβ35Updated last week
- Targeted Learning for Survival Analysisβ20Updated 11 months ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.β49Updated 6 years ago
- Materials from tutorial "Using Stan to Estimate Hierarchical Bayes Models," ART Forum 2017β56Updated 5 years ago
- π¦ Your One Stop to Targeted Learning in R with the tlverseβ33Updated 3 years ago
- Stan website based on the So Simple Jekyll theme.β19Updated last week
- Moment-Based Estimation for Hierarchical Models (R Package)β24Updated 6 years ago
- Longitudinal Targeted Maximum Likelihood Estimation packageβ23Updated last year
- Introduction to Shiny workshop for satRday conferenceβ25Updated 7 years ago
- Variable importance through targeted causal inference, with Alan Hubbardβ57Updated last year
- SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.β36Updated 5 years ago
- Define Stan models using glmer-style (lme4) formulasβ55Updated 10 years ago
- Examples and data from Gelman & Hill 2007β20Updated 6 years ago
- A collection of RStudio style cheatsheets for the Stan ecosystemβ58Updated 4 years ago
- Ceteris Paribus Plots (What-If plots) for explanations of a single observationβ41Updated 4 years ago
- Talks from the Joint Statistical Meetings 2018 (Vancouver, British Columbia)β23Updated 6 years ago
- "Exploratory Data Analysis using Random Forests"β18Updated 8 years ago
- Now on CRAN, bigKRLS combines bigmemory & RcppArmadillo (C++) for speed into a new Kernel Regularized Least Squares algorithm. Slides:β28Updated 5 years ago
- A high-level interface to keras for R that takes advantage of formulasβ51Updated 5 years ago
- JSM 2018 "An Emerging Ecosystem for Data Science/Statistics Education"β23Updated 6 years ago
- R package providing diagnostic tools for multilevel modelsβ17Updated 3 years ago
- This the repository for the Spring Causal Inference Courseβ41Updated 5 years ago
- Seems like, there isnβt enough Bayesian power analysis talk out there. Letβs change that.β23Updated 5 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner bβ¦β19Updated 8 months ago
- Slides and code for the 2016 useR! tutorial "Never Tell Me the Odds! Machine Learning with Class Imbalances"β39Updated 8 years ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.β28Updated 8 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in Rβ23Updated 2 years ago
- R package to allow tidybayes to work with the rethinking packageβ25Updated 7 months ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017β15Updated 4 years ago