Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.

Create Visual Predictive Checks

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2

Calculate quantiles respecting the censored data

quantile_cens(x, p = 0.5, limit = 1, cens = "left")

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
data
</td>
</tr>
<tr valign="top">
<td><code>p</code></td>
<td>
quantile
</td>
</tr>
<tr valign="top">
<td><code>limit</code></td>
<td>
censoring limit
</td>
</tr>
<tr valign="top">
<td><code>cens</code></td>
<td>
censoring direction (left/right)
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#vpc-1.2.2#docs#quantile_cens

quantile_cens

Description

Usage

Arguments

vpc

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`x`	data
`p`	quantile
`limit`	censoring limit
`cens`	censoring direction (left/right)