Nothing
## ----setup, include = FALSE---------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
library("GofCens")
## -----------------------------------------------------------------------------
set.seed(123)
survt <- round(rlnorm(300, 2, 1), 2)
censt <- round(rexp(300, 1 / 20), 2)
## -----------------------------------------------------------------------------
times <- pmin(survt, censt)
delta <- as.numeric(survt <= censt)
## -----------------------------------------------------------------------------
table(delta)
## -----------------------------------------------------------------------------
probPlot(times, delta, distr = "lognormal", prnt = FALSE, cex.lab = 1.3)
probPlot(times, delta, distr = "weibull", ggp = TRUE, prnt = FALSE)
## -----------------------------------------------------------------------------
probPlot(Surv(times, delta) ~ 1, distr = "lognormal", m = matrix(1:4, nrow = 1),
params0 = list(location = 2, scale = 1.5), ggp = TRUE)
## -----------------------------------------------------------------------------
cumhazPlot(times, delta, font.lab = 4, cex.lab = 1.3)
## -----------------------------------------------------------------------------
cumhazPlot(times, delta, distr = c("exponential", "beta", "lognormal"),
betaLimits = c(0, 100), ggp = TRUE, prnt = FALSE)
## -----------------------------------------------------------------------------
kmPlot(times, delta, ggp = TRUE, prnt = FALSE)
## -----------------------------------------------------------------------------
data("nba")
cumhazPlot(Surv(survtime, cens) ~ 1, nba, font.lab = 4, cex.lab = 1.3,
prnt = FALSE, lwd = 3, colour = "blue")
## -----------------------------------------------------------------------------
probPlot(Surv(survtime, cens) ~ 1, nba, distr = "logistic", ggp = TRUE,
degs = 2)
probPlot(Surv(survtime, cens) ~ 1, nba, distr = "normal", ggp = TRUE,
prnt = FALSE)
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