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Kinetic nonlinear mixed-effects model fit by maximum likelihood
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
Log-likelihood: -695
Fixed effects:
list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
parent_0 log_k1 log_k2 g_qlogis
100.1 -2.7 -4.1 -0.4
Random effects:
Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
Level: ds
Structure: Diagonal
parent_0 log_k1 log_k2 g_qlogis Residual
StdDev: 2 0.3 0.2 0.2 1
Variance function:
Structure: Constant plus proportion of variance covariate
Formula: ~fitted(.)
Parameter estimates:
const prop
0.9227472 -0.0480500
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