Number of subjects contributing to a fit

The asymptotics of every estimator in this package are in the number of subjects. Rows within a subject are repeated measurements of one trajectory and carry far less than one observation's worth of information, so nobs() returns the subject count, which is what summary() prints as n.

Usage

# S3 method for class 'skmle'
nobs(object, ...)

# S3 method for class 'kee'
nobs(object, ...)

# S3 method for class 'kee_td'
nobs(object, ...)

Arguments

object: A fitted skmle, kee or kee_td object.
...: Unused.

Value

An integer, the number of subjects.

Examples

set.seed(1)
d <- sim_async_data(n = 120)
fit <- kee_async(d$y, d$x, y ~ x, id = id, time = time, h = 0.3)
nobs(fit)
#> [1] 120