Generate Open or Closed Interpolating Curves
Functions for finding smooth interpolating curves connecting
a series of points in the plane.  Curves may be open or closed,
that is, with the first and last point of the curve at the initial point.

Download Data Sets from Kenneth's French Finance Data Library
Site
person(given = "Nelson",
family = "Areal",
role = c("aut", "cre"),
email = "nareal@gmail.com",
comment = c(ORCID = "0000-0002-1157-0178"))
Download data sets from Kenneth's French finance data library site <http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>, reads all the data subsets from the file. Allows R users to collect the data as
'tidyverse'-ready data frames.
utils, magrittr, tibble, dplyr, tidyr (>= 1.0.0), cli, httr,
rvest (>= 0.99.0.9000), stringr, purrr, assertthat, rlang, fs,
readr
markdown, rmarkdown, knitr, lubridate, ggplot2

utils, magrittr, tibble, dplyr, tidyr (>= 1.0.0), cli, httr,
rvest (>= 1.0.0), stringr, purrr, assertthat, rlang, fs, readr

Frequency Moving Average Plots (MAP) of Multinomial Data by a
Continuous Covariate
A frequency moving average plot (MAP) is estimated from a
multinomial data and a continuous covariate. The frequency MAP
is a moving average estimate of category frequencies, where
frequency means and posterior bounds are estimated. Comparisons
of two frequency MAPs as well as odds ratios can be plotted.

Thomas Feldman <tfeldma@siue.edu> and Kenneth W. Moffett
<kmoffet@siue.edu>
Generates a frequency distribution. The frequency
distribution includes raw frequencies, percentages in each category, and
cumulative frequencies. The frequency distribution can be stored as a data
frame.

Automated Cumulative Frequency Plots for Grouped Distribution
person("Harshit", "Budakoti", , "budakotihb@gmail.com", role = c("aut", "cre",'cph'))
Input has to be in the form of vectors of lower class limits and upper class limits and frequencies; the output will give a cumulative frequency distribution table with cumulative frequency plot.