calc_pred_corr_continuous

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.

Ron Keizer

Create Visual Predictive Checks

Bill Denney

calc_pred_corr_continuous function

<dl><dt>sim</dt>
<dd>this is usually a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm. However it can also be an object like a nlmixr or xpose object</dd>
<dt>obs</dt>
<dd>a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm</dd>
<dt>pred_corr</dt>
<dd>perform prediction-correction?</dd>
<dt>pred_corr_lower_bnd</dt>
<dd>lower bound for the prediction-correction</dd>
<dt>cols</dt>
<dd>A length 2, named list with one element named "obs" and the other
named "sim", each containing a sub-list with elements for mapping columns
names in the data to expected column names for use.</dd>
<dt>verbose</dt>
<dd>show debugging information (TRUE or FALSE)</dd></dl>

Arguments

Perform prediction-correction — calc_pred_corr_continuous

<dl>

<dt>sim</dt>
<dd>this is usually a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm. However it can also be an object like a nlmixr or xpose object</dd>


<dt>obs</dt>
<dd>a data.frame with observed data, containing the independent and dependent variable, a column indicating the individual, and possibly covariates. E.g. load in from NONMEM using read_table_nm</dd>


<dt>pred_corr</dt>
<dd>perform prediction-correction?</dd>


<dt>pred_corr_lower_bnd</dt>
<dd>lower bound for the prediction-correction</dd>


<dt>cols</dt>
<dd>A length 2, named list with one element named "obs" and the other
named "sim", each containing a sub-list with elements for mapping columns
names in the data to expected column names for use.</dd>


<dt>verbose</dt>
<dd>show debugging information (TRUE or FALSE)</dd>

</dl>

calc_pred_corr_continuous: Perform prediction-correction

Description

Usage

Value

Arguments