GRCdata-package: Parameter inference and optimal designs for grouped and/or...

In GRCdata: 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 <[e-mail]>, Qiang Fu <[e-mail]>

Maintainers: Xin Guo <[e-mail]>

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

GRCdata documentation built on May 2, 2019, 9:24 a.m.