Description: Implements harmonic analysis of tidal and sea-level data.
Over 400 harmonic tidal constituents can be estimated, all with
daily nodal corrections. Time-varying mean sea-levels can also

Title: Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides
Description: Tide analysis and prediction of predominantly semi-diurnal tides
with two high waters and two low waters during one lunar day (~24.842 hours,
~1.035 days). The analysis should preferably cover an observation period of at
least 19 years. For shorter periods, for example, the nodal cycle can not be
taken into account, which particularly affects the height calculation. The main
objective of this package is to produce tide tables.

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

Title: Quasi-Periodic Time Series Characteristics
Description: Calculate Characteristics of Qasi-Periodic Time Series, e.g. Estuarine Water Levels.

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

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

Description: 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.
Imports: badger, pacman, framecleaner, validata, presenter, autostats,

Title: Functions for Tidy Analysis of Randomly Generated Data
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
Imports: magrittr, rlang (>= 0.4.11), dplyr, ggplot2, plotly, tidyr,
Suggests: rmarkdown, knitr, roxygen2, cli, crayon, rstudioapi