Title: Option Pricing and Estimation of Financial Models in R
Maintainer: Stefano Maria Iacus <stefano.iacus@unimi.it>
Description: Companion package to the book Option Pricing and
Estimation of Financial Models in R, Wiley, Chichester. ISBN:

Imports: utils, MASS, nlme, parallel, stats, Rcpp (>= 0.12.14),
Description: Functions for the analysis of capture-recapture data from animal populations subject to turnover. The models extend Schwarz and Arnason (1996) <DOI:10.2307/2533048> and Borchers and  Efford (2008) <DOI:10.1111/j.1541-0420.2007.00927.x>, and may be non-spatial or spatial. The parameterisation of recruitment is flexible (options include population growth rate and per capita recruitment). Spatially explicit analyses may assume home-range centres are fixed or allow dispersal between sampling sessions.

stringr, plyr, abind, methods, RcppParallel, R2ucare
Description: Functions for non-spatial and spatial open-population capture-recapture analysis.

stringr, plyr, abind, methods, RcppParallel

Suggests: knitr, RMark, rgdal, R2ucare, rmarkdown

Suggests: knitr, RMark, rgdal, R2ucare, rmarkdown, testthat

stringr, plyr, abind, methods, RcppParallel (>= 5.1.1)

Description: Non-spatial and spatial open-population capture-recapture analysis.
Imports: abind, MASS, methods, nlme, parallel, plyr, Rcpp (>= 0.12.14),
RcppParallel (>= 5.1.1), stats, stringr, utils
Suggests: knitr, RMark, rmarkdown, testthat

Suggests: knitr, RMark, rmarkdown, testthat, R2ucare

Title: EBGM Scores for Mining Large Contingency Tables
person("Travis", "Canida", email = "Travis.Canida@fda.hhs.gov", role = "aut"),
comment = "author of 'PhViD' package (derived code)"),
person("Antoine", "Poncet", role = "ctb",
comment = "author of 'PhViD' package (derived code)"))
Description: An implementation of DuMouchel's (1999)
<doi:10.1080/00031305.1999.10474456> Bayesian data mining method for the
market basket problem. Calculates Empirical Bayes Geometric Mean (EBGM) and
quantile scores from the posterior distribution using the Gamma-Poisson
Shrinker (GPS) model to find unusually large cell counts in large, sparse
contingency tables. Can be used to find unusually high reporting rates of
adverse events associated with products. In general, can be used to mine any
database where the co-occurrence of two variables or items is of interest.
Also calculates relative and proportional reporting ratios. Builds on the work
of the 'PhViD' package, from which much of the code is derived. Some of the
added features include stratification to adjust for confounding variables and
data squashing to improve computational efficiency.
Ismaïl Ahmed [ctb] (author of 'PhViD' package (derived code)),
Antoine Poncet [ctb] (author of 'PhViD' package (derived code))