Provides an object class for dealing with many multivariate
    probability distributions at once, useful for simulation.

Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

A collection of synthetic datasets simulating sales transactions from a fictional company. The dataset includes various related tables that contain essential business and operational data, useful for analyzing sales performance and other business insights. Key tables included in the package are:
  - "sales": Contains data on individual sales transactions, including order details, pricing, quantities, and customer information.
  - "customer": Stores customer-specific details such as demographics, geographic location, occupation, and birthday.
  - "store": Provides information about stores, including location, size, status, and operational dates.
  - "orders": Contains details about customer orders, including order and delivery dates, store, and customer data.
  - "product": Contains data on products, including attributes such as product name, category, price, cost, and weight.
  - "date": A time-based table that includes date-related attributes like year, month, quarter, day, and working day indicators.
  This dataset is ideal for practicing data analysis, performing time-series analysis, creating reports, or simulating business intelligence scenarios.

Create contour lines for a non regular series of points, potentially from a non-regular canvas.

Provides functions for making contour plots.
  The contour plot can be created from grid data, a function,
  or a data set. If non-grid data is given, then a Gaussian
  process is fit to the data and used to create the contour plot.

Plots a set of x,y,z co-ordinates in a contour map. Designed to be similar to plots in base R so additional elements can be added using lines(), points() etc. This package is intended to be better suited, than existing packages, to displaying circular shaped plots such as those often seen in the semi-conductor industry.