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The (Adaptive) Elastic Net and Lasso Penalized Sparse Asymmetric Least Squares (SALES) and Coupled Sparse Asymmetric Least Squares (COSALES) using Coordinate Descent and Proximal Gradient Algorithms
A coordinate descent algorithm for computing the solution paths of the sparse and coupled sparse asymmetric least squares, including the (adaptive) elastic net and Lasso penalized SALES and COSALES regressions.
Matrices for Repeat-Sales Price Indexes
Calculate the matrices in
Shiller (1991,
Weekly Hass Avocado Sales Summary
Provides a weekly summary of Hass Avocado sales for the contiguous US from January 2017 through December 20204. See the package website for more information, documentation, and examples. Data source: Haas Avocado Board < https://hassavocadoboard.com/category-data/>.
Monthly Iowa Liquor Sales Summary
Provides a monthly summary of Iowa liquor (class E) sales from January 2015 to October 2020. See the package website for more information, documentation and examples. Data source: Iowa Data portal < https://data.iowa.gov/resource/m3tr-qhgy.csv>.
Extract Past Sales Data from Allhomes.com.au
Extract past sales data for specific suburb(s) and year(s) from the Australian property website < https://www.allhomes.com.au>. Allhomes data include the address and property details, date and price of the sale, block size and unimproved value of properties mainly in the ACT and NSW.
Data on House Sales in King County WA
Data on houses in and around Seattle WA are included. Basic characteristics are given along with sale prices.
Parallel Mutual Information Estimation for Gene Network Reconstruction
Parallel estimation of the mutual information based on entropy
estimates from k-nearest neighbors distances and algorithms for the
reconstruction of gene regulatory networks
(Sales et al, 2011
Statistical Analysis of Monthly Background Checks of Gun Purchases
Statistical analysis of monthly background checks of gun purchases for the New York Times story "What Drives Gun Sales: Terrorism, Obama and Calls for Restrictions" at < http://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html?> is provided.
Simplified Language for Plots and Charts
Provides a very simple syntax for the user to generate custom plot(s) without having to remember complicated 'ggplot2' syntax. The 'chartql' package uses 'ggplot2' and manages all the syntax complexities internally. As an example, to generate a bar chart of company sales faceted by product category further faceted by season of the year, we simply write: "CHART bar X category, season Y sales".
Dataset of the 'Contoso' Company
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.