Querying, extracting, and processing large-scale network data from Neo4j databases using the 'Neo4j Bolt' <https://neo4j.com/docs/bolt/current/bolt/> protocol. This interface supports efficient data retrieval, batch processing for large datasets, and seamless conversion of query results into R data frames, making it ideal for bioinformatics, computational biology, and other graph-based applications.

Provides probability computation, data generation,
    and model estimation for fully-visible Boltzmann machines. It follows the methods
    described in Nguyen and Wood (2016a) <doi:10.1162/NECO_a_00813> 
    and Nguyen and Wood (2016b) <doi:10.1109/TNNLS.2015.2425898>.

Bond Pricing and Fixed-Income Valuation of Selected Securities included here serve as a quick reference of Quantitative Methods for undergraduate courses on Fixed-Income and CFA Level I Readings on Fixed-Income Valuation, Risk and Return.
    CFA Institute ("CFA Program Curriculum 2020 Level I Volumes 1-6. (Vol. 5, pp. 107-151, pp. 237-299)", 2019, ISBN: 9781119593577).
    Barbara S. Petitt ("Fixed Income Analysis", 2019, ISBN: 9781119628132).
    Frank J. Fabozzi ("Handbook of Finance: Financial Markets and Instruments", 2008, ISBN: 9780470078143).
    Frank J. Fabozzi ("Fixed Income Analysis", 2007, ISBN: 9780470052211).

Analysis of large datasets of fixed coupon bonds, allowing for irregular first and last coupon periods and various day count conventions. With this package you can compute the yield to maturity, the modified and MacAulay durations and the convexity of fixed-rate bonds. It provides the function AnnivDates, which can be used to evaluate the quality of the data and return time-invariant properties and temporal structure of a bond.

Allows local bone density estimates to be derived from CT data and mapped to 3D bone models in a reproducible manner. Processing can be performed at the individual bone or group level. Also includes tools for visualizing the bone density estimates. Example methods are described in Telfer et al., (2021) <doi:10.1002/jor.24792>, Telfer et al., (2021) <doi:10.1016/j.jse.2021.05.011>.