read_vpc

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

read_vpc 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>psn_folder</dt>
<dd>instead of specifying "sim" and "obs", specify a PsN-generated VPC-folder</dd>
<dt>software</dt>
<dd>name of software platform using (e.g. nonmem, phoenix)</dd>
<dt>sim_cols</dt>
<dd>list for mapping simulation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`</dd>
<dt>obs_cols</dt>
<dd>list for mapping observation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`</dd>
<dt>verbose</dt>
<dd>show debugging information (TRUE or FALSE)</dd></dl>

Arguments

Read in VPC data — read_vpc

<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>psn_folder</dt>
<dd>instead of specifying "sim" and "obs", specify a PsN-generated VPC-folder</dd>


<dt>software</dt>
<dd>name of software platform using (e.g. nonmem, phoenix)</dd>


<dt>sim_cols</dt>
<dd>list for mapping simulation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`</dd>


<dt>obs_cols</dt>
<dd>list for mapping observation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`</dd>


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

</dl>

read_vpc: Read in VPC data

Description

Usage

Value

Arguments