| GRCdata-package {GRCdata} | R Documentation |
Parameter inference and optimal designs for grouped and/or right-censored count data
Description
This package consists of two main functions: The first function uses a given grouped and/or right-censored grouping scheme and empirical data to infer parameters, and implements chi-square goodness-of-fit tests; The second function searches for the global optimal grouping scheme of grouped and/or right-censored count responses in surveys.
This R package is designed to implement methods and algorithms developed in the following papers and please cite these articles at your convenience:
Qiang Fu, Xin Guo and Kenneth C. Land. Forthcoming. "A Poisson-Multinomial Mixture Approach to Grouped and Right-Censored Counts." Communications in Statistics – Theory and Methods. DOI: 10.1080/03610926.2017.1303736 (mainly about the first function for aggregate-level parameter inference)
Qiang Fu, Xin Guo and Kenneth C. Land. Conditionally accepted. "Optimizing Count Responses in Surveys: A Machine-Learning Approach." Sociological Methods & Research. (mainly about the second function for finding optimal grouping schemes)
To install the package "GRCdata_1.0.tar.gz", one may place this file in the working directory/folder of R, and type
install.packages("GRCdata", repos = NULL, type = "source")
To check the current working directory of R, one may type
getwd()
To see the source code, one could extract the package “GRCdata_1.0.tar.gz”.
There would be two directories/folders: man and R. The source code
is under the R directory/folder.
Details
| Package: | GRCdata |
| Type: | Package |
| Version: | 1.0 |
| Date: | July 28, 2017 |
| License: | GPLv3 |
Author(s)
Authors: Xin Guo <x.guo@polyu.edu.hk>, Qiang Fu <qiang.fu@ubc.ca>
Maintainers: Xin Guo <x.guo@polyu.edu.hk>
References
Qiang Fu, Xin Guo and Kenneth C. Land. Conditionally accepted. "Optimizing Count Responses in Surveys: A Machine-Learning Approach." Sociological Methods & Research.
Qiang Fu, Xin Guo and Kenneth C. Land. Forthcoming. "A Poisson-Multinomial Mixture Approach to Grouped and Right-Censored Counts." Communications in Statistics – Theory and Methods. DOI: 10.1080/03610926.2017.1303736