Rcpp CONGA Calculation

Calculates Continuous Overall Net Glycemic Action (CONGA) with an Rcpp backend.

Usage

conga_rcpp(data, n = 24, tz = "", inter_gap = 45)

Arguments

data: A dataframe containing CGM data with columns id, time, and gl.
n: Whole number of hours separating paired glucose observations. Defaults to 24.
tz: Time zone used for day-grid alignment when supplied.
inter_gap: Maximum gap, in minutes, over which linear interpolation is allowed. Defaults to 45, matching iglu's internal default.

Value

A tibble with columns id and CONGA.

Details

The implementation follows the CONGA calculation approach used by iglu::conga: after interpolation to a regular day-aligned CGM grid, CONGA is the sample standard deviation of glucose differences separated by n hours.

References

McDonnell, C. M., et al. (2005). A novel approach to continuous glucose analysis utilizing glycemic variation. Diabetes Technology and Therapeutics, 7(2), 253-263. doi:10.1089/dia.2005.7.253

Examples

library(iglu)
data(example_data_5_subject)
conga_rcpp(example_data_5_subject)
#> # A tibble: 5 × 2
#>   id        CONGA
#>   <chr>     <dbl>
#> 1 Subject 1  37.0
#> 2 Subject 2  60.6
#> 3 Subject 3  63.4
#> 4 Subject 4  33.5
#> 5 Subject 5  73.8