Description Usage Arguments Value
Predict new data using a model fit
1 2 3 4 5 6 7 8 9 10 11 12 13 |
object |
A tdmorefit object |
newdata |
A data.frame with new data and the columns to predict, or a numeric vector to specify times, and predict all model output or NULL to interpolate between 0 and the maximum known times |
regimen |
Treatment regimen |
parameters |
named numeric vector of fixed parameters |
covariates |
the model covariates, named vector, or data.frame with column 'TIME', and at least TIME 0 |
se.fit |
TRUE to provide a confidence interval on the prediction, adding columns xxx.median, xxx.upper and xxx.lower FALSE to show the model prediction (IPRED) |
level |
The confidence interval, or NA to return all mc.maxpts results |
mc.maxpts |
Maximum number of points to sample in Monte Carlo simulation |
... |
ignored |
.progress |
Allows to specify a plyr-like progress object A plyr progress object is a list with 3 function definitions: 'init(N)', 'step()' and 'term()'. This can also be specified as a boolean. TRUE uses the default dplyr progress_estimated. |
A data.frame
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.