Kinetic nonlinear mixed-effects model fit by SAEM
Structural model:
d_parent/dt = - k_parent * parent

Data:
262 observations of 1 variable(s) grouped in 15 datasets

Likelihood computed by importance sampling
   AIC  BIC logLik
  1310 1313   -650

Fitted parameters:
            estimate lower upper
parent_0       1e+02 99.08 1e+02
k_parent       4e-02  0.03 4e-02
a.1            9e-01  0.75 1e+00
b.1            5e-02  0.04 5e-02
SD.k_parent    3e-01  0.20 4e-01