ehassler / MontgomeryDAE
An R package for Design and Analysis of Experiment
☆12Updated 4 years ago
Alternatives and similar repositories for MontgomeryDAE:
Users that are interested in MontgomeryDAE are comparing it to the libraries listed below
- Course material for MF9130E☆16Updated 11 months ago
- Workshop R for Deep Learning with Tensorflow with Applications in Research & Scientific Computing☆28Updated 11 months ago
- Biostatistics resources : reading list, RMarkdown notebooks, and more!☆70Updated this week
- ☆32Updated 3 years ago
- R/Pharma 2023 Conference workshop materials.☆81Updated last year
- Fast glm fitting via RcppEigen☆57Updated 2 years ago
- ☆78Updated 2 months ago
- Deep Learning and Scientific Computing with R torch☆58Updated last year
- Quarto template for Monash Business School consulting report☆26Updated 4 months ago
- Analysis of simulation studies including Monte Carlo error☆28Updated 10 months ago
- Group Sequential Design Under Non-Proportional Hazards☆22Updated this week
- Extension to ggplot2 for plotting stats☆38Updated 2 weeks ago
- Create tidy probability/density tibbles and plots of randomly generated and empirical data.☆33Updated 4 months ago
- An R package providing a unified interface to several dose-finding trial methodologies☆15Updated this week
- Tidyverse-friendly simulations and power analysis☆43Updated 6 months ago
- Statistical design and analysis of experiments with R☆15Updated 3 years ago
- Code associated with YouTube Statistics tutorials.☆38Updated last year
- Create swimmer plots with ggplot2☆26Updated 2 months ago
- Data Package for Medical Datasets☆48Updated last year
- Group sequential design for clinical trials☆51Updated 3 weeks ago
- Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph☆49Updated last year
- An R package for creating CONSORT diagrams with ggplot☆48Updated 2 years ago
- Perform PCA on data with missing values in R☆49Updated last year
- Performing multivariate dose-response meta-analysis☆11Updated 5 years ago
- July 2022 NEAIR workshop: tidyverse intro for beginners☆12Updated 2 years ago
- Source and slides for "Why you should be using tidymodels" at UW-Madison☆18Updated last year
- ☆66Updated 4 years ago
- R package for computing corrected test statistics for comparing machine learning models on correlated samples☆14Updated last month
- This is the companion slides, data, and RStudio project for a workshop on mixed models.☆14Updated 4 years ago
- ☆25Updated this week