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Table 1 Brief description of functions from saemix that can be used once model is fit

From: nlive: an R package to facilitate the application of the sigmoidal and random changepoint mixed models

Function

Description

summary

Summary of the data, specification of the model, key algorithm options, and numerical results.

plot

General plot function from SAEM.

saemix.plot.fits

Plot of predictions vs observations for each individual.

saemix.plot.obsvspred

Plot of marginal predictions vs observations, and individual predictions vs observations.

saemix.plot.convergence

Plot of parameter estimate vs iteration number for each parameter.

saemix.plot.randeff

Boxplot of the random effects.

coef

Vector of the coefficients from a saemix fit.

eta

Subject-specific estimates of the parameters and random effects.

vcov

Variance-covariance matrix.

logLik

Likelihood from a saemixObject resulting from a call to saemix.