setup.single.prior: Obtain Prior parameters for an Uncoupled CDC 'DICE' Run

In predsci/DICE: DICE: Dynamics of Interacting Community Epidemics

Description

Use the pre-computed data base of mean and sd values for the parameters to obtain them for each region

Usage

setup.single.prior(mydata = NULL, logvec = NULL)

Arguments

mydata	- A dataframe with all the information for this DICE run
logvec	- a vector of zero and 1 need to be updated to value of 2 for prior paramters

Value

A list with the mean and sd values for the fit regions followed by the model region The number of columns depends on the model an updated logvec model 1 (SH): pC, R0, SH model 2 (SV): pC, R0, SV model 3 (SH+SV): pC, R0, SH, SV model 4: pC, R0 model 5: pC, R0 example: setup.prior = setup.single.prior(mydata=mydata,logvec=logvec)

predsci/DICE documentation built on Aug. 9, 2019, 9:41 a.m.