Description: Provides several methods for computing the Quantile Treatment Effect (QTE) and Quantile Treatment Effect on the Treated (QTT). The main cases covered are (i) Treatment is randomly assigned, (ii) Treatment is as good as randomly assigned after conditioning on some covariates (also called conditional independence or selection on observables) using the methods developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii) Identification is based on a Difference in Differences assumption (several varieties are available in the package e.g. Athey and Imbens (2006) <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019) <doi:10.3982/QE935>, Callaway, Li, and Oka (2018) <doi:10.1016/j.jeconom.2018.06.008>).

Title: Tools for analyzing QTL experiments
Description: Analysis of experimental crosses to identify QTLs

Author: Karl W Broman <kbroman@jhsph.edu>, with ideas from Gary Churchill and Saunak Sen and contributions from Hao Wu
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.

Author: Karl W Broman <kbroman@jhsph.edu> and Hao Wu <haowu@jax.org>, with ideas from Gary Churchill and Saunak Sen and contributions from Brian Yandell

Package: qtl
Version: 0.98-57
Date: 10 Sep 2004
Title: Tools for analyzing QTL experiments
Author: Karl W Broman <kbroman@jhsph.edu> and Hao Wu <haowu@jax.org>, with ideas from Gary Churchill and Saunak Sen and contributions from Brian Yandell
Maintainer: Karl W Broman <kbroman@jhsph.edu>
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
License: GPL version 2 or later
URL: http://www.biostat.jhsph.edu/~kbroman/qtl
Packaged: Sat Sep 11 08:20:57 2004; kbroman

Package: qtl
Version: 0.99-22
Date: 25 Apr 2005
Title: Tools for analyzing QTL experiments
Author: Karl W Broman <kbroman@jhsph.edu> and Hao Wu <haowu@jax.org>, with ideas from Gary Churchill and Saunak Sen and contributions from Brian Yandell
Maintainer: Karl W Broman <kbroman@jhsph.edu>
Description: Analysis of experimental crosses to identify genes (called quantitative trait loci, QTLs) contributing to variation in quantitative traits.
License: GPL version 2 or later
URL: http://www.biostat.jhsph.edu/~kbroman/qtl
Packaged: Mon Apr 25 15:49:45 2005; kbroman