Package: PricingBandits
Type: Package
Title: Multi-Armed Bandit Approaches to Pricing Experiments
Version: 2.0.0
Authors@R: c(person("Ian N.", "Weaver", role = c("aut", "cre"), email = "weaver.n.ian@gmail.com"),
               person("Vineet", "Kumar", role = "aut"),
               person("Lalit", "Jain", role = "aut"))
Description: Implements multi-armed bandit approaches for pricing experiments with an
    unknown demand curve, as developed in Weaver, Kumar, and Jain,
    "Nonparametric Pricing Bandits Leveraging Informational Externalities to Learn
    the Demand Curve" <doi:10.1287/mksc.2022.0247>. Includes Upper Confidence Bound (UCB) and
    Thompson Sampling (TS) baselines, Gaussian process variants ('GP-UCB', 'GP-TS'),
    monotonic Gaussian process variants that constrain demand to be weakly decreasing
    in price, and heterogeneous-noise extensions. The
    willingness-to-pay distribution is fully user-specified via a vector of consumer
    valuations, so any demand environment can be simulated or replayed.
License: MIT + file LICENSE
URL: https://github.com/ian-weaver/PricingBandits
BugReports: https://github.com/ian-weaver/PricingBandits/issues
Encoding: UTF-8
Imports: stats, Matrix, hash, nloptr, MASS, dplyr, TruncatedNormal,
        R.utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
NeedsCompilation: no
Packaged: 2026-08-27 09:08:30 UTC; ithew
Author: Ian N. Weaver [aut, cre],
  Vineet Kumar [aut],
  Lalit Jain [aut]
Maintainer: Ian N. Weaver <weaver.n.ian@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-09-09 14:30:02 UTC
Built: R 4.5.2; ; 2026-09-09 15:50:55 UTC; unix
