rcarma: Simulate censored arma time series

In cents: Censored time series

Description

simulated censored time series

Usage

rcarma(n=200, ar=0.9, ma=0.6, mu=100, siga=15, rates=c(0.15, NA), Mrate = 0)

Arguments

n	length of series, default 200.
ar	ar coefficients
ma	ma coefficients
mu	mean
siga	standard deviation of innovations
rates	either a vector of length 2 or a matrix with n rows and 2 columns. In the vector case, the first element indicates the left-censor rate and the second element indicates the right-censor rate. Set to NA is there is no censoring. Interval censored data corresponds to setting both a left-censor rate and right-censor rate. The default setting indicates a left-censor rate 0.15 with no right censoring. The vector case handles single censoring and the matrix case is for multiple censor points. In this case each column indicates the corresponding censoring for each observation.
Mrate	fraction of missing values. Default is 0.

Value

an object of class 'cents' which is a list with three elements. First element, 'y', is the censored time series. Second element, 'iy', indicates for each observed valued "o", "L", "R", NA according to whether the value is fully observed, left-censored, right-censored, or missing. Third element, 'censorPts', is a matrix with 2 columns indicating the censor point or NA if no censoring is applicable. Note that censorPts does not indicate if the observation was actually censored since this depends on the unknown latent variable. An observation is censored if and only if the corresponding entry in iy is either "L" or "R". The component 'censorPts' is useful for plotting. See example below.

Examples

#Default example
out <- rcarma()
plot(out)

cents documentation built on May 1, 2019, 8:19 p.m.