plot.dynLong | R Documentation |
dynLong
objectPlots the conditional longitudinal expectations for a
new subject calculated using the dynLong
function.
## S3 method for class 'dynLong' plot(x, main = NULL, xlab = NULL, ylab = NULL, grid = TRUE, estimator, ...)
x |
an object of class |
main |
an overall title for the plot: see |
xlab |
a title for the x [time] axis: see |
ylab |
a character vector of the titles for the K longitudinal
outcomes y-axes: see |
grid |
adds a rectangular grid to an existing plot: see
|
estimator |
a character string that can take values |
... |
additional plotting arguments; currently limited to |
A dynamic prediction plot.
Graeme L. Hickey (graemeleehickey@gmail.com)
Rizopoulos D. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data. Biometrics. 2011; 67: 819–829.
dynLong
## Not run: # Fit a joint model with bivariate longitudinal outcomes data(heart.valve) hvd <- heart.valve[!is.na(heart.valve$log.grad) & !is.na(heart.valve$log.lvmi), ] fit2 <- mjoint( formLongFixed = list("grad" = log.grad ~ time + sex + hs, "lvmi" = log.lvmi ~ time + sex), formLongRandom = list("grad" = ~ 1 | num, "lvmi" = ~ time | num), formSurv = Surv(fuyrs, status) ~ age, data = list(hvd, hvd), inits = list("gamma" = c(0.11, 1.51, 0.80)), timeVar = "time", verbose = TRUE) hvd2 <- droplevels(hvd[hvd$num == 1, ]) out <- dynLong(fit2, hvd2) plot(out, main = "Patient 1") ## End(Not run)
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