Showing 3 of total 3 results (show query)
irinagain
iglu:Interpreting Glucose Data from Continuous Glucose Monitors
Implements a wide range of metrics for measuring glucose control and glucose variability based on continuous glucose monitoring data. The list of implemented metrics is summarized in Rodbard (2009) <doi:10.1089/dia.2009.0015>. Additional visualization tools include time-series plots, lasagna plots and ambulatory glucose profile report.
Maintained by Irina Gaynanova. Last updated 24 days ago.
26 stars 9.00 score 39 scripts
cran
rGV:Analysis of Continuous Glucose Monitor Data
Reads in continuous glucose monitor data of many different formats, calculates a host of glycemic variability metrics, and plots glucose over time.
Maintained by Evan Olawsky. Last updated 3 months ago.
2 stars 2.00 score
maalam79
RKUM:Robust Kernel Unsupervised Methods
Robust kernel center matrix, robust kernel cross-covariance operator for kernel unsupervised methods, kernel canonical correlation analysis, influence function of identifying significant outliers or atypical objects from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018) <doi:10.1016/j.neucom.2018.04.008>. Alam, M. A, Calhoun, C. D., Wang Y.-P. (2018) <doi:10.1016/j.csda.2018.03.013>.
Maintained by Md Ashad Alam. Last updated 3 years ago.
1.20 score 16 scripts