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Simple Fit Example

[Generated automatically as a Fitting summary]

Model Description

Name:fit_example1
Title:Simple Fit Example
Author:PoPy for PK/PD
Abstract:
One compartment model with elimination rate constant KE.
Keywords:one compartment model; iv_one_cmp_k
Input Script:fit_example1.pyml
Diagram:

Comparison

Compare Main f[X]

Variable Name Starting Value Fitted Value Abs Change Prop Change
f[KE] 0.0500 0.0968 0.0468 0.9356

Compare Noise f[X]

Variable Name Starting Value Fitted Value Abs Change Prop Change
f[PNOISE] 0.1000 0.2135 0.1135 1.1351

Compare Variance f[X]

Variable Name Starting Value Fitted Value Abs Change Prop Change
f[KE_isv] 0.1000 0.0160 0.0840 0.8399

Individual simulated (sim) plots

Alternatively see All simulated_sim graph plots

Population simulated (sim) plots

(No population graphs were requested.)

Population simulated (msim) plots

allOBS_vs_TIME_VPC

Outputs

Final objective value

303.0548

which required 1.13 iterations and took 94.59 seconds

Fitted f[X] values (after fitting)

f[KE] = 0.0968
f[PNOISE] = 0.2135
f[KE_isv] = 0.0160

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:fit_example1_data.csv

Starting f[X] values (before fitting)

f[KE] = 0.0500
f[PNOISE] = 0.1000
f[KE_isv] = 0.1000
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