Title: Bayesian Estimation of Intervention Effects
Author: Jack Kuipers [aut,cre] and Giusi Moffa [aut]
Description: An implementation of intervention effect estimation for DAGs (directed acyclic graphs) learned from binary data. First, parameters are estimated or sampled for the DAG and then interventions on each node (variable) are propagated through the network (do-calculus). Both exact computation (up to around 20 variables) and Monte Carlo schemes (for larger networks) are implemented.

Description: An implementation of intervention effect estimation for DAGs (directed acyclic graphs) learned from binary or continuous data. First, parameters are estimated or sampled for the DAG and then interventions on each node (variable) are propagated through the network (do-calculus). Both exact computation (for continuous data or for binary data up to around 20 variables) and Monte Carlo schemes (for larger binary networks) are implemented.

Title: Mini Games from Adventures of Beta and Bit
person("Przemysław", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut", "cre")),
person("Witold", "Chodor", email = "witoldchodor@gmail.com", role = c("trl")),
person("Katarzyna", "Fak", role = c("aut")),
person("Foundation", "SmarterPoland.pl", email = "smarterpoland@gmail.com", role = c("cph")))
Description: Two games: proton and frequon. Both are console-based data-crunching games for younger and older data scientists.
Act as a data-hacker and find Slawomir Pietraszko's credentials to the Proton server.
You have to solve four data-based puzzles to find the login and password.
There are many ways to solve these puzzles. You may use loops, data filtering, ordering, aggregation or other tools.
Only basics knowledge of R is required to play the game, yet the more functions you know, the more approaches you can try.
The knowledge of 'dplyr' package is not required but may be very helpful.
This game is linked with the ,,Pietraszko's Cave'' story available at <http://biecek.pl/BetaBit/Warsaw>.
You will find more about the Beta and Bit series at <http://betabit.wiki>.