DESCRIPTION

Package: simIReff
Type: Package
Title: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores
Version: 1.0
Authors@R: c(person("Julián", "Urbano", email = "urbano.julian@gmail.com", role = c("aut", "cre")),
             person("Thomas", "Nagler", email = "thomas.nagler@tum.de", role = c("ctb")))
Description: Provides tools for the stochastic simulation of effectiveness scores to mitigate
  data-related limitations of Information Retrieval evaluation research, as described in Urbano and
  Nagler (2018) <doi:10.1145/3209978.3210043>. These tools include: fitting, selection and plotting
  distributions to model system effectiveness, transformation towards a prespecified expected value,
  proxy to fitting of copula models based on these distributions, and simulation of new evaluation
  data from these distributions and copula models.
BugReports: https://github.com/julian-urbano/simIReff/issues
URL: https://github.com/julian-urbano/simIReff/
Depends: R (>= 3.4)
Imports:
  stats,
  graphics,
  MASS,
  rvinecopulib (>= 0.2.8.1.0),
  truncnorm,
  bde,
  ks,
  np,
  extraDistr
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1