plot.emfrail: Plots for emfrail objects

In teddybalan/frailtoys: Fitting Frailty Models with the EM Algorithm

Description

Plots for emfrail objects

Usage

## S3 method for class 'emfrail'
plot(x, type = c("hist", "hr", "pred"),
  newdata = NULL, lp = NULL, strata = NULL, quantity = "cumhaz",
  type_pred = c("conditional", "marginal"), conf_int = "adjusted",
  conf_level = 0.95, individual = FALSE, ...)

Arguments

x	emfrail object, typically result of emfrail()
type	One (or more) of hist for a histogram of the estimated frailty values, hr for a plot of the conditional and marginal hazard ratio between two cases and pred for the predicted conditional and marginal cumulative hazard or survival for one case
newdata	A data.frame with values of the covariates. For type == "hr" the hazard ratio between the first two rows of newdata is calculated. For type == "pred" the prediction for the first row of newdata is calculated.
lp	A numeric vector of values of the linear predictor, each corresponding to a case. For type == "hr" the hazard ratio between the first two values of lp is calculated. For type == "pred" the prediction for the first value of lp is calculated.
strata	The name of the strata (if applicable) for which the prediction should be made.
quantity	For type == "pred" the predicted quantity; see quantity in predict.emfrail
type_pred	For type == "pred" the type of predicted quantity; see type in predict.emfrail
conf_int	For type == "pred" the type of confidence intervals; see conf_int in predict.emfrail
conf_level	The width of the confidence interval for type == "pred"; see conf_level in predict.emfrail
individual	For type == "pred" for drawing a curve when the rows of newdata refer to the same individual; see individual in predict.emfrail
...	Further arguments to be passed to the plot function

Value

Nothing

See Also

predict.emfrail, summary.emfrail, autoplot.emfrail.

Examples

mod_rec <- emfrail(Surv(start, stop, status) ~ treatment + number + cluster(id), bladder1,
control = emfrail_control(ca_test = FALSE, lik_ci = FALSE))

# Histogram of the estimated frailties
plot(mod_rec, type = "hist")

# hazard ratio between placebo and pyridoxine
newdata1 <- data.frame(treatment = c("placebo", "pyridoxine"),
                       number = c(1, 3))

plot(mod_rec, type = "hr", newdata = newdata1)

# predicted cumulative hazard for placebo, and number = 1
plot(mod_rec, type = "pred", newdata = newdata1[1,])

# predicted survival for placebo, and number = 1
plot(mod_rec, type = "pred", quantity = "survival", newdata = newdata1[1,])

# predicted survival for an individual that switches from
# placebo to pyridoxine at time = 15
newdata2 <- data.frame(treatment = c("placebo", "pyridoxine"),
                       number = c(1, 3),
                       tstart = c(0, 15),
                       tstop = c(15, Inf))

plot(mod_rec, type = "pred", quantity = "survival", newdata = newdata2, individual = TRUE)

teddybalan/frailtoys documentation built on Sept. 21, 2019, 6:22 p.m.