egf_R0.R

library(tidyverse)
library(epigrowthfit)
library(future.apply)
library(shellpipes)

loadEnvironments()

no_cores <- availableCores() - 4
plan(multicore, workers = no_cores)

print(no_cores)

minDays <- 0
maxDays <- 100

print(interval_df)

## from once.rda

once <- (rdsRead("once")
	%>% select(Biter.ID,dateGen)
	%>% filter(between(dateGen,minDays,maxDays))
	%>% group_by(Biter.ID)
	%>% mutate(count=n())
	%>% arrange(Biter.ID)
)

psimgencluster <- function(time,num,bootsample){
	return(future_replicate(num,sample_clustergen(time,bootsample)))
}

simgencluster <- psimgencluster(once,num=nsamp,bootsample=nboot)

simtimesamp <- function(time,num,bootsample){
  return(future_replicate(num, sample(time, size=bootsample, replace=TRUE))) 
}

si <- (interval_df
	%>% filter(Type == "Serial")
	%>% pull(Days)
)

sisamp <- simtimesamp(si,num=nsamp,bootsample=nboot)


gi <- (interval_df
	%>% filter(Type == "Generation")
	%>% pull(Days)
)

egf_fit_dfs <- bind_rows(rdsRead("exp"),rdsRead("logistic"))

#egf_gi <- (egf_fit_dfs
#	%>% group_by(loc,phase,egf_fit)
#	%>% mutate(R0sims = map(rsamp,~simR0_data(.,time=gi,n=nsamp,bootsample=nboot)))
#	%>% group_by(loc,phase,method)
#	%>% reframe(R0tiles(R0sims))
#	%>% mutate(interval = "Generation")
#)

print(egf_fit_dfs$rsamp)

egf_gi2 <- (egf_fit_dfs
#	%>% mutate(R0sims = pmap(rsamp,~clustersimR0_data(.,time=once,n=nsamp,bootsample=nboot)))
	%>% mutate(R0sims = map(rsamp,~clustersimR0_data(.,time=simgencluster)))
	%>% group_by(loc,phase,method)
	%>% reframe(R0tiles(R0sims))
	%>% mutate(interval = "Cluster-Generation")
)

print(egf_gi2)

egf_si <- (bind_rows(rdsReadList())
#	%>% group_by(loc,phase,egf_fit)
#	%>% mutate(R0sims = pmap(rsamp,~simR0_data(.,time=si,n=nsamp,bootsample=nboot)))
	%>% mutate(R0sims = map(rsamp,~simR0_data(.,time=sisamp)))
	%>% group_by(loc,phase,method)
	%>% reframe(R0tiles(R0sims))
	%>% mutate(interval = "Serial")
)


saveVars(egf_gi2,egf_si,nboot,nsamp)