Nothing
jmcs()
.AUCjmcs()
area under the ROC curve (AUC) to assess the prediction performance of joint models.surviftjmcs()
.plot.surviftjmcs()
due to theoretical problem.PEjmcs()
and MAEQjmcs()
.surviftjmcs()
for the competing risk and add summary()
for providing parameter estimates and SE for both sub-models.jmcs()
.Provide support for handling categorical variables in both sub-models.
Provide the anova()
function to compare two fitted joint models.
Add the simulate
argument in the survfitjmcs()
function to obtain the conditional probabilities using the Gauss-Hermite quadrature rule for numerical integration.
Adjust the label position of y axis for clarity purposes when include.y = TRUE
in the plot.survfitjmcs()
function.
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.