genmissing: genmissing

View source: R/kalman_functions.R

genmissingR Documentation

genmissing

Description

Generates a lag one auto-regressive time series, where the first and last values are fixed. Marginal expected value is zero and variance is one. Generated values have a normal conditional distribution.

Usage

genmissing(X1, XN, rho, N)

Arguments

X1

value before the gap

XN

value after the gap

rho

the lag one autocorrelation

N

the length of the sequence including X1 and XN. It is two more than the gap length

Value

genmissing numeric vector of length N, conditioned on the first value (X1) and last value (XN) with the specified lag one autocorrelation in the limit (where N is large) the values are normal with mean 0 and variance 1

Author(s)

Tim Cohn


EGRET documentation built on April 18, 2023, 5:09 p.m.