Imports: dplyr, grid, gridExtra, ggplot2, magrittr, readr (>= 1.2.0),
rmarkdown(>= 1.4), rvest, tibble, tidyr, scales, stats, utils,
Packaged: 2018-12-06 02:56:37 UTC; kassambara

Imports: dplyr, grid, gridExtra, ggplot2, magrittr, readr (>= 1.3.0),
Packaged: 2019-01-02 20:28:16 UTC; kassambara

Title: Faster Generation of Quantile Quantile Plots with Large Samples
Authors@R: c(person("Gudmundur", "Einarsson", email = "gudmundur.einarsson.phd@gmail.com",
person("Hafsteinn", "Einarsson", email = "hafsteinne@hi.is",
Description: New and faster implementations for quantile quantile plots.
The package also includes a function to prune data for quantile quantile
plots. This can drastically reduce the running time for large samples,
for 100 million samples, you can expect a factor 80X speedup.

Packaged: 2022-10-24 21:42:32 UTC; gudmundureinarsson

Title: Backtest Investment Strategies with 3 Lines of Code
Description: Easily backtest investment strategies with as few as 3 lines of
'Python' or 'R' code. Its goal is to promote data driven investing in finance
accessible to everyone. This version only contains functionality for pulling
Philippine Stock Exchange and Yahoo Finance stock data.
Imports: dplyr, httr, magrittr, purrr, tidyr, lubridate, assertthat,
Packaged: 2020-07-09 12:49:26 UTC; jgendrinal

Title: Time-Saving Package for Creating Reports
c(person("Alisson", "Rosa", role = c("aut", "cre"),
Description: Provides  templates for reports in 'rmarkdown' and
functions to create tables and summaries of data.
Imports: dplyr, ggplot2, janitor, kableExtra, lifecycle, magrittr,
Packaged: 2022-09-11 16:33:21 UTC; alissonrp

Title: Models for the 'nflfastR' Package
Description: A data package that hosts all models for the

Title: 'fastText' Wrapper for Text Classification and Word
Authors@R: c(person("Michaël", "Benesty", role = c("aut", "cre"), email = "michael@benesty.fr"),
person("Facebook, Inc", role = c("cph"), email = "bojanowski@fb.com"))
Description: 'fastText' is an open-source, free, lightweight library that allows
users to learn text representations and text classifiers.
It transforms text into continuous vectors that can later
It works on standard, generic hardware (no 'GPU' required).
It also includes model size reduction feature.
'fastText' original source code is available
Imports: methods, Rcpp (>= 0.12.12), assertthat
Packaged: 2017-09-15 15:26:07 UTC; geantvert