Kinetic nonlinear mixed-effects model fit by SAEM
Structural model:
d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
           * parent

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

Likelihood computed by importance sampling
   AIC  BIC logLik
  1409 1415   -695

Fitted parameters:
            estimate lower  upper
parent_0      100.04 98.89 101.20
log_k1         -4.12 -4.24  -4.00
log_k2         -2.67 -2.90  -2.44
g_qlogis        0.43  0.22   0.64
a.1             0.92  0.67   1.16
b.1             0.05  0.04   0.06
SD.log_k1       0.22  0.14   0.30
SD.log_k2       0.36  0.21   0.51
SD.g_qlogis     0.14 -0.11   0.39