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