brusko/docs

Documents that go into methodological detail regarding various statistical procedures.

docs

This repository is essentially a list of other repos specific to documents that go into methodological detail regarding various statistical procedures. In addition, it contains templates, common images and so forth. The repos themselves house markdown/code/data etc. For a bit more description of specific documents see https://m-clark.github.io/documents/.

Some of these documents are essentially like any software development and will be at least somewhat regularly updated or are actually in current development. However, this does not mean they are incomplete, and in fact its actually likely they are in a complete state. Other documents are more or less one-offs, or at least there are no current plans to revisit. However if you happen to come across any issues with a doc, feel free to open it in the corresponding repository.

Recently updated/created, or in current/continued development

• Bayesian Basics
• Generalized Additive Models
• Structural Equation Models
• Mixed Models Overview
• FastR
• BigR
• Clustered Data Situations
• Categorical Regression Models
• Introduction to Machine Learning

No current plans for update except to fix issues

• Latent variables and sum scores
• Mixed Models Estimation
• Mixed Models vs. Growth Curves
• Sim of the above for small sample size situations
• ANOVA and Mixed Models
• MCMC algorithms
• Paradoxes
• Correlation Measures
• R for Social Science