## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(WhiteLabRt) ## ----------------------------------------------------------------------------- data("sample_report_dates") data("sample_onset_dates") ## ----casecounts2-------------------------------------------------------------- my_linelist <- create_linelist(report_dates = sample_report_dates, onset_dates = sample_onset_dates) head(my_linelist) ## ----serial, fig.width=6.75, dev='png'---------------------------------------- sip <- si(14, 4.29, 1.18) plot(sip, type = 'l') ## ----backcalc1,eval=F--------------------------------------------------------- # out_list_demo <- run_backnow(my_linelist, sip = sip, chains = 1) ## ----plot1,fig.width=6.75,dev='png'------------------------------------------- data("out_list_demo") plot(out_list_demo, "est") ## ----plot2, fig.width=6.75,dev='png'------------------------------------------ data("out_list_demo") plot(out_list_demo, "rt") ## ----example1----------------------------------------------------------------- data("sample_dates") data("sample_location") data("sample_cases") head(sample_dates) head(sample_cases) head(sample_location) ## ----casecounts--------------------------------------------------------------- caseCounts <- create_caseCounts(date_vec = sample_dates, location_vec = sample_location, cases_vec = sample_cases) head(caseCounts) ## ----------------------------------------------------------------------------- my_linelist <- convert_to_linelist(caseCounts, reportF = rnbinom, reportF_args = list(size = 3, mu = 9), reportF_missP = 0.6) head(my_linelist) ## ----serial2,fig.width=6.75, dev='png'---------------------------------------- sip <- si(14, 4.29, 1.18) ## ----backcalc2, eval=FALSE---------------------------------------------------- # options(mc.cores = 4) # # out_list_demo <- run_backnow(my_linelist, sip = sip)