Population Two Compartment Model and Inter-subject Variance

[Generated automatically as a Generation summary]

Model Description

Name:: iv_two_cmp_isv
Title:: Population Two Compartment Model and Inter-subject Variance
Author:: PoPy for PK/PD
Abstract:

Population One Compartment Model and Inter-subject Variance

Keywords:: two compartment model; iv_two_cmp_k; proportional noise; additive noise
Input Script:: iv_two_cmp_isv_gen.pyml
Diagram:

Outputs

Individual simulated (sim) plots

Alternatively see All simulated_sim graph plots

Population simulated (sim) plots

(No population graphs were requested.)

Generated parameter .csv files

Fixed Effects:: fx_params.csv (gen)
Random Effects:: rx_params.csv (gen)
Model params:: mx_params.csv (gen)
State values:: sx_params.csv (gen)
Predictions:: px_params.csv (gen)
Observations:: synthetic_data.csv (gen)

Inputs

True f[X] values (for simulation)

f[K12] = 0.2000
f[K21] = 0.1500
f[KE] = 0.1000
f[KE_isv,K12_isv,K21_isv] = [
    [ 0.2000, 0.0000, 0.0000 ],
    [ 0.0000, 0.2000, 0.0000 ],
    [ 0.0000, 0.0000, 0.2000 ],
]
f[ANOISE_STD] = 5.0000