/explore
|
You are here |
www.seascapemodels.org | ||
| | | | |
easystats.github.io
You probably already have heard of the parameters package, a light-weight package to extract, compute and explore the parameters of statistical models using R (if not, there is a related publication introducing the package's main features). In this post, we like to introduce a new feature that facilitates nicely rendered output in markdown or HTML format (including PDFs). This allows you to easily create pretty tables of model summaries, for a large variety of models. |
|
| | | | | ||
| | | | |
mc-stan.org
|
|
| | | | | ||
| | | | |
aosmith.rbind.io
Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation. |
|
| | | | | ||
| | | | |
www.listendata.com
[AI summary] The user is seeking guidance on performing linear regression analysis in R, including data preparation, model building, and interpretation. They have questions about multicollinearity, variable selection, and package usage. The response should provide step-by-step instructions on installing necessary packages, conducting analysis, and addressing common issues. |
|
| | | |||