summary-methods: Methods for Function summary

In saemixr/saemix: Stochastic Approximation Expectation Maximization (SAEM) Algorithm

Description

Methods for function summary

summary method for class SaemixData

Usage

## S4 method for signature 'SaemixData'
summary(object, print = TRUE, ...)

## S4 method for signature 'SaemixModel'
summary(object, print = TRUE, ...)

## S4 method for signature 'SaemixObject'
summary(object, print = TRUE, ...)

Arguments

object	an object of class SaemixData
print	a boolean controlling whether to print the output or return it silently
...	additional arguments (ignored)

Value

a list with a number of elements extracted from the dataset

N

number of subjects

nobs

the total number of observations

nind.obs

a vector giving the number of observations for each subject

id

subject ID; x: predictors; y: response, and, if present in the data, covariates: the covariates (as many lines as observations) and ind.covariates: the individual covariates (one

Methods

list("signature(x = \"ANY\")")

default summary function ?

list("signature(x = \"SaemixData\")")

summary of the data

list("signature(x = \"SaemixModel\")")

summary of the model

list("signature(x = \"SaemixObject\")")

summary of an SaemixObject

saemixr/saemix documentation built on Jan. 26, 2020, 12:53 a.m.