df_sizes_prop: Create dataframe for the proportion of effective number of...

In thednainus/senegalHIVmodel: Analysis of HIV data from Senegal

Description

Creates a dataframe for the proportion of effective number of infections. This dataframe have information for median, lower and upper bounds for the proportions of effective number of infections by group (gpm, gpf and msm).

Usage

df_sizes_prop(sizes.p, sizes.map, times, Nrep, Ntime)

Arguments

sizes.p	list for size elements (resulted from calculating the demographic model)
sizes.map	list for size elements for MAP (maximum a posteriori)
times	vector of times points associated to the size list
Nrep	integer for the number of replicates (number of combination of parameter values based on the posterior distribution)
Ntime	integer for the number of time points

Value

dataframe of median, upper and lower bounds for the posterior, and for MAP

Examples

#To DO

thednainus/senegalHIVmodel documentation built on Oct. 28, 2021, 3:11 p.m.