v0.2.0

Improved multiple functions, clarified descriptions, and added new utilities.

• Future plans include refactoring all estimation functions to support multiply-robust semi-parametric estimation using Superlearner, alongside standard parametric estimation.

v0.1.2

Updating initial pre-release for Zenodo

Pre-release of margot: an R package for streamlining causal-effect estimation workflows

We're pleased to announce the release of the margot package. This package is designed to offer tools for efficient data analysis and visualisation, focusing on causal inference and the interpretation of statistical models. Margot aims to simplify workflows by providing intuitive functions tailored for processing and presenting data insights.

Key features include:

• Simplified functions for generating interpretive data tables.
• Tools for visualizing causal effect estimates and enhancing the clarity of presentations and reports.

This pre-release marks the beginning of the margot's journey. The package is not yet production-ready. Please stay tuned for more releases ahead.

Full Changelog: https://github.com/go-bayes/margot/commits/v0.1.1-alpha