View source: R/httkpop_virtual_indiv.R
httkpop_virtual_indiv | R Documentation |
Generate a virtual population by the virtual individuals method.
httkpop_virtual_indiv(
nsamp = NULL,
gendernum = NULL,
agelim_years = NULL,
agelim_months = NULL,
weight_category = c("Underweight", "Normal", "Overweight", "Obese"),
gfr_category = c("Normal", "Kidney Disease", "Kidney Failure"),
reths = c("Mexican American", "Other Hispanic", "Non-Hispanic White",
"Non-Hispanic Black", "Other"),
gfr_resid_var = TRUE,
ckd_epi_race_coeff = FALSE,
nhanes_mec_svy
)
nsamp |
The desired number of individuals in the virtual population.
|
gendernum |
Optional: A named list giving the numbers of male and female
individuals to include in the population, e.g. |
agelim_years |
Optional: A two-element numeric vector giving the minimum
and maximum ages (in years) to include in the population. Default is
c(0,79). If |
agelim_months |
Optional: A two-element numeric vector giving the minimum
and maximum ages (in months) to include in the population. Default is c(0,
959), equivalent to the default |
weight_category |
Optional: The weight categories to include in the
population. Default is |
gfr_category |
The kidney function categories to include in the
population. Default is |
reths |
Optional: a character vector giving the races/ethnicities to
include in the population. Default is |
gfr_resid_var |
Logical value indicating whether or not to include residual variability when generating GFR values. (Default is TRUE.) |
ckd_epi_race_coeff |
Logical value indicating whether or not to use the "race coefficient" from the CKD-EPI equation when estimating GFR values. (Default is FALSE.) |
nhanes_mec_svy |
|
A data.table where each row represents an individual, and each column represents a demographic, anthropometric, or physiological parameter.
Caroline Ring
ring2017identifyinghttk
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