summarize_individuals_count_table {pharmr}R Documentation

summarize_individuals_count_table

Description

Create a count table for individual data

Content of the various columns:

+————————-+————————————————————————————————+ | Column | Description | +=========================+================================================================================================+ | inf_selection | Number of subjects influential on model selection. | | | :math:⁠\mathrm{OFV}_{parent} - \mathrm{OFV} > 3.84 \veebar⁠ | | | :math:⁠\mathrm{OFV}_{parent} - \mathrm{iOFV}_{parent} - (\mathrm{OFV} - \mathrm{iOFV}) > 3.84⁠ | +————————-+————————————————————————————————+ | inf_params | Number of subjects influential on parameters. predicted_dofv > 3.84 | +————————-+————————————————————————————————+ | out_obs | Number of subjects having at least one outlying observation (CWRES > 5) | +————————-+————————————————————————————————+ | out_ind | Number of outlying subjects. predicted_residual > 3.0 | +————————-+————————————————————————————————+ | inf_outlier | Number of subjects both influential by any criteria and outlier by any criteria | +————————-+————————————————————————————————+

Usage

summarize_individuals_count_table(models = NULL, df = NULL)

Arguments

models

(array(Model) (optional)) List of models to summarize.

df

(data.frame) Output from a previous call to summarize_individuals.

Value

(data.frame) Table with one row per model.

See Also

summarize_individuals : Get raw individual data


[Package pharmr version 0.96.0 Index]