• Language: en

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 113.67 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
Back to Top