Description: Describes a new procedure of reducing items in a rating scale called Rating Scale Reduction (RSR). The new stop criterion in RSR procedure is added (stop global max).

Author: Waldemar W. Koczkodaj,Feng Li ,Alicja Wolny-Dominiak

Description: Describes a new procedure of reducing items in a rating scale called Rating Scale Reduction (RSR). The new stop criterion in RSR procedure is added (stop global max). Data sets are added.

Author: Waldemar W. Koczkodaj, Feng Li, Alicja Wolny-Dominiak
Description: Describes a new procedure of reducing items in a rating scale called Rating Scale Reduction (RSR). The new stop criterion in RSR procedure is added (stop global max). The function order is replaced by sort.list.

Author: Kevin M. Quinn <kevin_quinn@harvard.edu>, and Daniel E. Ho
Maintainer: Kevin M. Quinn <kevin_quinn@harvard.edu>
Description: This package contains functions to implement the methods
described in Ho and Quinn. n.d. "Improving the Presentation and
Interpretation of Online Ratings Data with Model-based
Packaged: Wed Aug 27 22:33:40 2008; kquinn

Author: Kevin M. Quinn <kquinn@law.berkeley.edu>, and Daniel E. Ho
Maintainer: Kevin M. Quinn <kquinn@law.berkeley.edu>
Packaged: 2012-06-02 22:14:29 UTC; kevinquinn

Title: Rationalizing Rational Expectations. Tests and Deviations
Authors@R: c( person("Xavier", "D'Haultfoeuille", email = "xavier.dhaultfoeuille@ensae.fr", role = c("aut")),person("Christophe", "Gaillac", email = "christophe.gaillac@ensae.fr", role = c("aut", "cre")),person("Arnaud", "Maurel", email = "arnaud.maurel@duke.edu", role = c("aut")))
Description: We implement a test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs from D'Haultfoeuille, Gaillac, and Maurel (2018) <doi:10.3386/w25274>. This test can be used in cases where realizations and subjective beliefs are observed in two different datasets that cannot be matched, or when they are observed in the same dataset. The package also computes the estimator of the minimal deviations from rational expectations than can be rationalized by the data.