Title: Regression-Based Approach for Testing the Type of Missing Data
Author: Serguei Rouzinov and André Berchtold
Description: The regression-based (RB) approach is a method to test the missing data mechanism.
This package contains two functions that test the type of missing data (Missing Completely
At Random vs Missing At Random) on the basis of the RB approach. The first function applies
the RB approach independently on each variable with missing data, using the completely
observed variables only. The second function tests the missing data mechanism globally
(on all variables with missing data) with the use of all available information. The
algorithm is adapted both to continuous and categorical data.

Packaged: 2020-03-03 13:09:54 UTC; Serguei_DELL

Maintainer: Send complaints to <patrick@wessa.net>
Description: The RC package allows the user to create and use
reproducible computations for the purpose of research and
education. The meta data about the computations are stored in a
remote repository which is hosted at www.freestatistics.org

Maintainer: Send questions/complaints to <patrick@wessa.net>

Author: Amir Goldberg <amirgo@stanford.edu>, Gabor Csardi
Description: Relational Class Analysis (RCA) is a method for detecting
heterogeneity in attitudinal data. RCA-R is a C-based package
that implements the RCA algorithm and generates a simple-to-use
command line executable program.  src/igraph-R contains the
header files of igraph-C which was written by Gabor.

heterogeneity in attitudinal data. (as described in Goldberg
A., 2011, Am. J. Soc, 116(5)) .  src/igraph-R contains the

A., 2011, Am. J. Soc, 116(5)) .  src/ also contains the source
files of igraph-C which was written by Gabor.

Description: Relational Class Analysis (RCA) is a method for
detecting heterogeneity in attitudinal data. (as
described in Goldberg A., 2011, Am. J. Soc, 116(5)) .
src/ also contains the source files of igraph-C
which was written by Gabor. LAPACK routines are

heterogeneity in attitudinal data (as described in Goldberg