tidymodels: An R repository from longhua8800w

tidymodels is a "meta-package" for modeling and statistical analysis that share the underlying design philosophy, grammar, and data structures of the tidyverse.

It includes a core set of packages that are loaded on startup:

broom takes the messy output of built-in functions in R, such as lm, nls, or t.test, and turns them into tidy data frames.
dplyr contains a grammar for data manipulation.
ggplot2 implements a grammar of graphics.
infer is a modern approach to statistical inference.
purrr is a functional programming toolkit.
recipes is a general data preprocessor with a modern interface. It can create model matrices that incorporate feature engineering, imputation, and other help tools.
rsample has infrastructure for resampling data so that models can be assessed and empirically validated.
tibble has a modern re-imagining of the data frame.
yardstick contains tools for evaluating models (e.g. accuracy, RMSE, etc.)

There are a few modeling packages that are also installed along with tidymodels (but are not attached on startup):

tidypredict translates some model prediction equations to SQL for high-performance computing.
tidyposterior can be used to compare models using resampling and Bayesian analysis.
tidytext contains tidy tools for quantitative text analysis, including basic text summarization, sentiment analysis, and text modeling.

To install:

require(devtools)
devtools::install_github("tidymodels/tidymodels")

When loading the package, the versions and conflicts are listed:

library(tidymodels)

## ── Attaching packages ───────────────────────────────── tidymodels 0.0.1 ──

## ✔ ggplot2   3.0.0          ✔ recipes   0.1.3.9000
## ✔ tibble    1.4.2          ✔ broom     0.5.0     
## ✔ purrr     0.2.5          ✔ yardstick 0.0.1     
## ✔ dplyr     0.7.6          ✔ infer     0.3.1     
## ✔ rsample   0.0.2

## ── Conflicts ──────────────────────────────────── tidymodels_conflicts() ──
## ✖ rsample::fill()    masks tidyr::fill()
## ✖ dplyr::filter()    masks stats::filter()
## ✖ dplyr::lag()       masks stats::lag()
## ✖ recipes::prepper() masks rsample::prepper()
## ✖ recipes::step()    masks stats::step()

longhua8800w/tidymodels