Package: mdsdt
Version: 1.1
Date: 2015-08-31
Title: Functions for Analysis of Data with General Recognition Theory
Author: Robert X.D. Hawkins <rxdh@stanford.edu>, Joe Houpt
<joseph.houpt@wright.edu>, Noah Silbert <noahpoah@gmail.com>, Leslie
Blaha <Leslie.Blaha@wpafb.af.mil>, Thomas D. Wickens
<twickens@socrates.berkeley.edu>
Maintainer: Robert X.D. Hawkins <rxdh@stanford.edu>
Depends: R (>= 1.8.0), ellipse, mnormt, polycor
Description: Tools associated with General
Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 4x4 and more
general confusion matrices, associated plotting and model comparison tools,
and tests of marginal response invariance and report independence.
License: GPL (>= 2)
Collate: 'grt-data.R' 'grt_base.R'
NeedsCompilation: no
Packaged: 2015-09-01 21:15:58 UTC; rxdh
Repository: CRAN
Date/Publication: 2015-09-02 01:47:21

Package: mdsdt
Version: 1.2
Date: 2016-03-11
Title: Functions for Analysis of Data with General Recognition Theory
Author: Robert X.D. Hawkins <rxdh@stanford.edu>, Joe Houpt
<joseph.houpt@wright.edu>, Noah Silbert <noahpoah@gmail.com>, Leslie
Blaha <Leslie.Blaha@wpafb.af.mil>, Thomas D. Wickens
<twickens@socrates.berkeley.edu>
Maintainer: Robert X.D. Hawkins <rxdh@stanford.edu>
Depends: R (>= 1.8.0), ellipse, mnormt, polycor
Description: Tools associated with General
Recognition Theory (Townsend & Ashby, 1986), including Gaussian model fitting of 2x2 and more
general designs, associated plotting and model comparison tools,
and tests of marginal response invariance and report independence.
License: GPL (>= 2)
Collate: 'grt-data.R' 'grt_base.R'
NeedsCompilation: no
Packaged: 2016-03-12 08:23:53 UTC; rxdh
Repository: CRAN
Date/Publication: 2016-03-12 09:57:29

Title: Complement to 'Modern Data Science with R'
person("Daniel", "Kaplan", email = "kaplan@macalester.edu", role = "aut"))
Description: A complement to *Modern Data
Science with R* (ISBN: 978-1498724487, publisher URL:
This package contains all of the data and code necessary to
complete exercises and reproduce examples from the text. It also
facilitates connections to the SQL database server used in the book.
Imports: babynames, DBI, dplyr, ggplot2, RMySQL
Suggests: knitr, Lahman, etl, macleish, lubridate, sp