c(
person("Moritz","Mueller-Navarra", email="muellernavarra@gmail.com",role=c("aut","cre")),
person("Sylvin","Mueller-Navarra", email="4@sylvin.de",role="aut"),
person("Andreas", "Boesch", role="ctb"))
Moritz Mueller-Navarra [aut, cre],
Sylvin Mueller-Navarra [aut],
Andreas Boesch [ctb]

Functions to calculate characteristics of quasi periodic
time series, e.g. observed estuarine water levels

Calculate Characteristics of Qasi-Periodic Time Series, e.g. Estuarine Water Levels.

Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine Water Levels.

Tom Cox <tom.cox@uantwerp.be>, Lennert Schepers <lennert.schepers@uantwerp.be>

person(given = "Harrison",
family = "Tietze",
role = c("aut", "cre"),
email = "Harrison4192@gmail.com")
Loads the 5 packages in the Tidy Consultant Universe. This collection of packages is useful for anyone doing data science,
data analysis, or quantitative consulting. The functions in these packages range from data cleaning, data validation, data binning, statistical modeling, and file exporting.
badger, pacman, framecleaner, validata, presenter, autostats,
tidybins

Functions for Tidy Analysis of Randomly Generated Data
c(
person("Steven","Sanderson", email = "spsanderson@gmail.com", role = c("aut","cre")),
person("Steven Sanderson", role = "cph"))
To make it easy to generate random numbers based upon the underlying stats
distribution functions. All data is returned in a tidy and structured
format making working with the data simple and straight forward. Given that the
data is returned in a tidy 'tibble' it lends itself to working with the rest of the
'tidyverse'.
magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, stringr, healthyR.ai
rmarkdown, knitr, roxygen2, cli, crayon, rstudioapi
Steven Sanderson [aut, cre],
Steven Sanderson [cph]

Functions for Tidy Analysis and Generation of Random Data
magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, stringr, actuar, methods, stats

magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
purrr, stringr, actuar, methods, stats, patchwork, survival,
nloptr