# GSOC 2021: Final evaluation

· 2 min read

Final post about Google Summer of Code 2021. This post sums up my contributions to the Bambi library during the ten weeks of this program.
· 2 min read

Final post about Google Summer of Code 2021. This post sums up my contributions to the Bambi library during the ten weeks of this program.
· 6 min read

My fourth post describing work done during GSoC 2021. On this occasion, I'm introducing the Binomial family. This new family is very useful to build models for binary data when each row in the data set contains the number of successes and the number of trials instead of the results of Bernoulli trials.
· 6 min read

In this third post about my work during this Google Summer of Code I describe two families of models recently added. The first one, is the Student T family, used to make linear regressions more robust. The second, is the Beta family which can be used to model ratings and proportions.
· 6 min read

Second post about this Google Summer of Code season. Today I show some of the problems associated with outliers in linear regression and demonstrate how one can implement a robust linear regression in Bambi.
· 4 min read

First post of a series about my contributions to Bambi in this Google Summer of Code season. This post highlights new features related to default priors and priors for group-specific effects.
· 8 min read

Bambi uses the library formulae to automatically construct design matrices for both common and group-specific effects. This post compares design matrices for group-specific effects obtained with formulae for a variety of scenarios involving categorical variables with the ones obtained with the R package lme4.
· 8 min read

An example comparing how to fit a GLM with Bambi and PyMC3. Here I attempt to highlight how Bambi can help us to write a Bayesian GLM in a concise manner, saving us from having to realize error-prone tasks that are sometimes necessary when directly working with PyMC3.
· 15 min read

A walkthrough the process of understanding how bingo cards are composed and a set of R functions that let us generate random bingo cards and print them in a nice looking .pdf output.
· 1 min read

First entry