Suggests: testthat, covr, ggplot2, reshape2, plyr, MASS, rmarkdown,

Description: Facilities for the use of R to write CGI scripts

Packaged: Mon Sep 20 11:13:04 2004; david

Packaged: Sun Oct 10 16:42:56 2004; david

Packaged: Tue May 10 16:57:56 2005; david

Author: David Firth, with extensions by Duncan Temple Lang
Maintainer: Duncan Temple Lang <duncan@wald.ucdavis.edu>

Packaged: Thu Dec  8 05:31:40 2005; duncan

Title: Continuous Glucose Monitoring Data Analyzer
Author: Xiaohua Douglas Zhang and Zhaozhi Zhang
Description: Contains all of the functions necessary for the complete analysis of a continuous glucose monitoring study and can be applied to data measured by various existing CGM devices such as FreeStyle Libre, Glutalor, Dexcom and Medtronic CGM. It reads a series of data files, is able to convert various formats of time stamps, can deal with missing values, calculates both regular statistics and nonlinear statistics, and conducts group comparison. It also displays results in a concise format. Also contains two unique features new to CGM analysis: one is the implementation of strictly standard mean difference and the class of effect size; the other is the development of a new type of plot called antenna plot.

Authors@R: c(person("Xiaohua Douglas", "Zhang", role = c("aut", "cph"),
person("Zhaozhi", "Zhang", role = "aut"),
person("Madalena", "Costa", role = "ctb"),
person("Xinzheng", "Dong", role = c("aut", "cre"),
Author: Xiaohua Douglas Zhang [aut, cph],
Description: Contains all of the functions necessary for the complete analysis of a continuous glucose monitoring study and can be applied to data measured by various existing 'CGM' devices such as 'FreeStyle Libre', 'Glutalor', 'Dexcom' and 'Medtronic CGM'. It reads a series of data files, is able to convert various formats of time stamps, can deal with missing values, calculates both regular statistics and nonlinear statistics, and conducts group comparison. It also displays results in a concise format. Also contains two unique features new to 'CGM' analysis: one is the implementation of strictly standard mean difference and the class of effect size; the other is the development of a new type of plot called antenna plot. It corresponds to 'Zhang XD'(2018)<doi:10.1093/bioinformatics/btx826>'s article 'CGManalyzer: an R package for analyzing continuous glucose monitoring studies'.