hcrews47/Bayes: Basic functions involving Bayes Theorem

This package includes a function (bayes_theor) that calculate a conditional probability (y given x) using Bayes theorem given two probabilities (x and y) and a conditional probability (x given y), or if the two probabilities (x and y) are independent, it calculates the conditional probability (y given x) without taking a conditional probability (x given y) as a parameter. This package also includes a function (bayes_theor_extended) that returns a vector of probabilities when given a partition of probabilities(x) as a vector and a singular probability(y). The vector returned gives the probability of each member of the vector of probabilities(x) given a probability(y). This package also includes a function that draws a pie chart of the likelihood of the conditional probability in question occuring or not occuring. This function takes a probability(x), another probability(y), and a conditional probability(x given y). The function calculates a conditional probability(y given x) using Bayes Theorem and then draws a pie chart of the likelihood of that conditional probability occuring and the likelihood of it not occuring.

Getting started

Package details

AuthorAlex Carvalho, Winnie Yan, Holt Crews
MaintainerHolt Crews <holtcrews47@gmail.com>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
hcrews47/Bayes documentation built on May 11, 2019, 4:17 p.m.