Title: Optimal Mixture Weights in Multiple Importance Sampling
Description: 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
Maintainer: Hera Y. He <yhe1@stanford.edu>

Title: Determine Optimum Stocking Times Used in Fishery Enhancements
Description: 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
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, tidyverse, shiny,
Author: Paul Frater [aut, cre] (<https://orcid.org/0000-0002-7237-6563>)

Author: Ben B. Hansen <ben.hansen@umich.edu>,
with embedded Fortran code due to Dimitri P. Bertsekas
Maintainer: Ben B. Hansen <ben.hansen@umich.edu>
Description: Functions to perform optimal matching, particularly full matching
License: Fortran code free for non-commercial use; R functions GPL.  License statement from authors of Fortran codes is as follows. THIS ROUTINE IS IN THE PUBLIC DOMAIN TO BE USED ONLY FOR RESEARCH PURPOSES.  IT CANNOT BE USED AS PART OF A COMMERCIAL PRODUCT, OR TO SATISFY IN ANY PART COMMERCIAL DELIVERY REQUIREMENTS TO GOVERNMENT OR INDUSTRY, WITHOUT PRIOR AGREEMENT WITH THE AUTHORS. USERS ARE REQUESTED TO ACKNOWLEDGE THE AUTHORSHIP OF THE CODE, AND THE RELAXATION METHOD.

Maintainer: Ben B. Hansen <optmatch@ctools.umich.edu>

Description: Distance based bipartite matching using minimum cost flow, oriented
to matching of treatment and control groups in observational studies (Hansen
and Klopfer 2006 <doi:10.1198/106186006X137047>). Routines are provided to
generate distances from generalised linear models (propensity score
matching), formulas giving variables on which to limit matched distances,
stratified or exact matching directives, or calipers, alone or in
Authors@R: c(person("Ben", "Hansen", role = "aut", email = "ben.hansen@umich.edu"),
person("Josh", "Errickson", role = c("cre","aut"), email = "jerrick@umich.edu"),
person("Josh", "Buckner", role = "aut"),
Imports: Rcpp, stats, methods, graphics, rlemon, survey
Suggests: RItools, boot, biglm, testthat (>= 0.11.0), roxygen2, brglm,
arm, knitr, rmarkdown, markdown, pander, xtable, rrelaxiv