Model containing exponential error

[Generated automatically as a Fitting summary]

Model Description

Name:: exp_error
Title:: Model containing exponential error
Author:: PoPy for PK/PD
Abstract:

One compartment model with a depot leading to a central compartment.

This model contains exponential error.

Keywords:: one compartment model; exponential error
Input Script:: exp_error_fit.pyml
Diagram:

Comparison

Compare Main f[X]

Compare Noise f[X]

Variable Name	Starting Value	Fitted Value	Abs Change	Prop Change
f[EXP_NOISE]	0.2000	0.0935	0.1065	0.5325

Compare Variance f[X]

Population simulated (sim) plots

	allOBS_vs_TIME
	indOBS_vs_TIME

Outputs

Final objective value

37.7135

which required 1.5 iterations and took 10.30 seconds

Fitted f[X] values (after fitting)

f[EXP_NOISE] = 0.0935

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[EXP_NOISE] = 0.2000