plot_abs_cwres_vs_ipred#

pharmpy.modeling.plot_abs_cwres_vs_ipred(model, predictions, residuals, stratify_on=None, bins=8)[source]#

Plot |CWRES| vs IPRED

Parameters:

model (Model) – Pharmpy model
predictions (pd.DataFrame) – DataFrame containing the predictions
residuals (pd.DataFrame) – DataFrame containing the residuals
stratify_on (str) – Name of parameter for stratification
bins (int) – Number of bins for stratification

Returns:

alt.Chart – Plot

Examples

from pharmpy.modeling import load_example_model, plot_abs_cwres_vs_ipred
from pharmpy.tools import load_example_modelfit_results

model = load_example_model("pheno")
res = load_example_modelfit_results("pheno")
plot_abs_cwres_vs_ipred(model, res.predictions, res.residuals)

model <- load_example_model("pheno")
res <- load_example_modelfit_results("pheno")
plot_abs_cwres_vs_ipred(model, res$predictions, res$residuals)

from pharmpy.modeling import load_example_model, plot_abs_cwres_vs_ipred
from pharmpy.tools import load_example_modelfit_results

model = load_example_model("pheno")
res = load_example_modelfit_results("pheno")
plot_abs_cwres_vs_ipred(model, res.predictions, res.residuals, 'WGT', bins=4)

model <- load_example_model("pheno")
res <- load_example_modelfit_results("pheno")
plot_abs_cwres_vs_ipred(model, res$predictions, res$residuals, 'WGT', bins=4)