# Goal: to setup 10 simulations and fit each with natural spline,
# using log_beta0 transformation, no stochasticity, (whatelse?)
library(McMasterPandemic)
library(tidyverse)
library(anytime)
library(bbmle)
library(parallel)
source("makestuff/makeRfuns.R")
# #######################################################
# run_params
# options(mc.cores=8)
## setup
params <- fix_pars(read_params("../inst/params/PHAC.csv"), target=c(R0=3, Gbar=6))
summary(params)
print(params)
# set_initial_state
state1 <- make_state(params=params)
# start and end dates
start_date <- anydate("2020-01-01")
end_date <- anydate("2020-03-31")
res1 <- run_sim(params=params, state=state1, start_date=start_date, end_date=end_date)
summary(res1)
# saveVars(res1) #doesn't work for now?
plot(res1,log=TRUE)
# look at ./rshape.R and find out the description of Rt that fits here.
R0 <- summary(res1)$R0
(res1$R)
res1$date
#
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