Package: PricingBandits
Type: Package
Title: Multi-Armed Bandit Approaches to Pricing Experiments
Version: 2.1.0
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 (2025) "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
Config/pak/sysreqs: cmake
Repository: https://ian-weaver.r-universe.dev
Date/Publication: 2026-09-10 11:07:43 UTC
RemoteUrl: https://github.com/ian-weaver/pricingbandits
RemoteRef: HEAD
RemoteSha: 72f87451d2a9947fd1f47d55057aad4975fbc849
NeedsCompilation: no
Packaged: 2026-10-11 14:54:15 UTC; root
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)