## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(covidprobability) ## ---- fig.width=8, fig.height=4----------------------------------------------- plot(0:21, dlnorm(0:21, 1.63, 0.5), xlab="Days after exposure", ylab="Probability", main="Incubation period", type = "b") ## ---- fig.width=8, fig.height=4----------------------------------------------- plot(0:21, plnorm(0:21, 1.63, 0.5), ylab="Proportion", xlab = "Days since exposure", main="Infected expected to have developed symptoms", type="b") ## ---- fig.width=8, fig.height=4----------------------------------------------- plot(0:14, sapply(0:14, prop_remaining, asympt = 0.279, mu = 1.63, sigma = 0.5), ylab="Proportion remaining", xlab = "Day", ylim = c(0,1), type = "b") ## ---- fig.width=8, fig.height=4----------------------------------------------- plot(0:14, c(0.13, adjust_pretest(pre0 = 0.13, asymp = 0.279, days = 14)), ylab="pretest probability", xlab="Day", type = "b", ylim = c(0, 0.2)) ## ---- fig.width=8, fig.height=4----------------------------------------------- plot(sens$point, ylim=c(0,1), main="PCR Sensitivity with 95% CI", xlab="Days since exposure", ylab="Sensitivity", type="l"); lines(sens$lower, col="grey") lines(sens$upper, col="grey") ## ---- fig.width=8, fig.height=4----------------------------------------------- example <- posttest_series(pre0 = 0.13, asympt = 0.279, sens = sens$point, spec = 1) example_upper <- posttest_series(pre0 = 0.13, asympt = 0.279, sens = sens$upper, spec = 1) example_lower <- posttest_series(pre0 = 0.13, asympt = 0.279, sens = sens$lower, spec = 1) plot(example$x, example$y, xlab="Day of testing", ylab="Probability of having COVID-19", main="Red = pretest; Blue = posttest", ylim=c(0, 0.25), col="blue", type="l") lines(example$x, example$y, col="blue", type="l") lines(example_lower$x, example_lower$y, col="lightblue", type="l") lines(example_upper$x, example_upper$y, col="lightblue", type="l") lines(1:14, adjust_pretest(0.13, asympt = 0.279), col="red", type="l") ## ---- fig.width=8, fig.height=4----------------------------------------------- unit_size <- 4 any_example <- probability_any(unit_size, example$y) any_example_upper <- probability_any(unit_size, example_upper$y) any_example_lower <- probability_any(unit_size, example_lower$y) plot(example$x, any_example, xlab="Day of testing", ylab="Probability of any person having COVID-19", ylim=c(0, 0.50), col="blue", type="l") lines(example_lower$x, any_example_lower, col="lightblue", type="l") lines(example_upper$x, any_example_upper, col="lightblue", type="l") abline(v=example$x[example[,2]==min(example$y)]) ## ---- fig.width=8, fig.height=4----------------------------------------------- test <- individual_probability(test_day = 9, pre0 = 0.13, sens = sens, spec = 1, asymp = 0.279, days = 14, mu = 1.63, sigma = 0.5) plot(1:14, test$point, type="l", ylim=c(0,0.3), main = "Individual probabiltiy of undetected COVID-19", xlab = "Days since exposure", ylab = "Probability") lines(test$lower, type="l", col="grey") lines(test$upper, type="l", col="grey") ## ---- fig.width=8, fig.height=4----------------------------------------------- test_n <- unit_probability(test_day = 9, pre0 = 0.13, sens = sens, spec = 1, asympt = 0.279, days = 14, mu = 1.63, sigma = 0.5, n = 10) plot(1:14, test_n$point, type="b", ylim=c(0,1), main = "Unit-wide probabiltiy of undetected COVID-19", xlab = "Days since exposures", ylab = "Probability") lines(test_n$lower, type="l", col="grey") lines(test_n$upper, type="l", col="grey") abline(v = 9) text(1:14, (test_n$point + 0.1), round(test_n$point, 2), cex = 1) ## ----------------------------------------------------------------------------- test_n$point[9] test_n$point[14] test_n$lower[9] test_n$lower[14]