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One Compartment Model with Absorption estimating KA and CL

[Generated automatically as a Fitting summary]

Model Description

Name:d1cmp_ka_cl_stderr
Title:One Compartment Model with Absorption estimating KA and CL
Author:PoPy for PK/PD
Abstract:
One Compartment Model with Absorption compartment with rate (KA).
Elimination rate parametrised by clearance (CL)
and volume of distribution (V).
Model specification uses incremental flows
Keywords:dep_one_cmp_cl; one compartment model
Input Script:d1cmp_ka_cl_stderr_fit.pyml
Diagram:

Comparison

Compare Main f[X]

Variable Name Starting Value Fitted Value Abs Change Prop Change
f[KA] 0.3000 0.2739 0.0261 0.0869
f[CL] 3.0000 3.2389 0.2389 0.0796

Compare Noise f[X]

Compare Variance f[X]

Population simulated (sim) plots

indOBS_vs_TIME

Outputs

Final objective value

-44.7678

which required 1.5 iterations and took 0.35 seconds

Fitted f[X] values (after fitting)

f[KA] = 0.2739
f[V] = 18.0030
f[CL] = 3.2389

Fitted parameter .csv files

Fixed Effects:fx_params.csv (fit)
Random Effects:rx_params.csv (fit)
Model params:mx_params.csv (fit)
State values:sx_params.csv (fit)
Predictions:px_params.csv (fit)
Likelihoods:lx_params.csv (fit)

Inputs

Input Data:cx_obs_params.csv

Starting f[X] values (before fitting)

f[KA] = 0.3000
f[V] = 18.0030
f[CL] = 3.0000
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