Utilizes the Black-Scholes Option Pricing Model to Perform
Strategic Option Analysis and Plot Option Strategies
Utilizes the Black-Scholes-Merton option pricing model to
calculate key option analytics and graphical analysis of various option strategies.
Provides functions to calculate the option premium and option
greeks of European-style options.

Utilizes the Black-Scholes-Merton option pricing model to
calculate key option analytics and perform graphical analysis of various option strategies.
Provides functions to calculate the option premium and option
greeks of European-style options.

Tools for performing an optimal scaling transformation on a data
vector

Optimal scaling of a data vector, relative to a set of targets, is
obtained through a least-squares transformation subject to appropriate measurement
constraints. The targets are usually predicted values from a statistical
model. If the data are nominal level, then the transformation must be
identity-preserving. If the data are ordinal level, then the
transformation must be monotonic. If the data are discrete, then tied data
values must remain tied in the optimal transformation. If the data are
continuous, then tied data values can be untied in the optimal
transformation.

Optimal scaling of a data vector is obtained through a least-squares transformation subject to appropriate measurement constraints. Further information about this methodology is provided by Young (1981)<doi:10.1007/BF02293796> and Jacoby (1999)< doi:10.2307/2991794>.

Optimal Mixture Weights in Multiple Importance Sampling
Code for optimal mixture weights in importance sampling. Workhorse
functions penoptpersp() and penoptpersp.alpha.only() minimize estimated
variances with and without control variates respectively. It can be used in
adaptive mixture importance sampling, for example, function batch.estimation() does
two stages, a pilot estimate of mixing alpha and a following importance
sampling.

Determine Optimum Stocking Times Used in Fishery Enhancements
c(person(given = "Paul",
family = "Frater",
role = c("aut", "cre"),
email = "paul.frater@wisconsin.gov",
comment = c(ORCID = "0000-0002-7237-6563")))
A collection of functions that aid in calculating the optimum
time to stock hatchery reared fish into a body of water given the growth,
mortality and cost of raising a particular number of individuals to a certain
length.
testthat (>= 3.0.0), knitr, rmarkdown, tidyverse, shiny,
shinydashboard