Package: npsr
Version: 0.1.1
Type: Package
Title: Validate Instrumental Variables using NPS
Authors@R: c(person("Fabian", "Sellmann", email="fa.sllmnn@gmail.com", role = c("aut", "cre")), person("Bojan", "Nicolic", email="bojan@bnikolic.co.uk", role=c("ctb", "cph")), person("Jörn", "Grahl", email="grahl@wiso.uni-koeln.de", role="ths")) 
Maintainer: Fabian Sellmann <fa.sllmnn@gmail.com>
Description: An R implementation of the Necessary and Probably Sufficient (NPS) test for finding valid instrumental variables, as suggested by Amit Sharma (2016, Working Paper) <http://amitsharma.in/pubs/necessary_probably_sufficient_iv_test.pdf>. The NPS test, compares the likelihood that a given set of observational data of the three variables Z, X and Y is generated by a valid instrumental variable model (Z -> X -> Y) to the likelihood that the data is generated by an invalid IV model.
License: GPL-2
Encoding: UTF-8
LazyData: true
Collate: npsCommon.R npsInvalid.R npsMain.R npsNecessary.R npsValid.R
        RNested.R
Imports: infotheo, MASS, gmp
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2018-05-18 13:53:56 UTC; Fabian
Author: Fabian Sellmann [aut, cre],
  Bojan Nicolic [ctb, cph],
  Jörn Grahl [ths]
Repository: CRAN
Date/Publication: 2018-05-18 14:33:18 UTC
Built: R 4.1.0; ; 2021-05-26 07:31:11 UTC; unix
