surveillance: find.kh – R documentation

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find.kh

Determine the k and h values in a standard normal setting

Description

Given a specification of the average run length in the (a)cceptance and (r)ejected setting determine the k and h values in a standard normal setting.

Usage

find.kh(ARLa = 500, ARLr = 7, sided = "one", method = "BFGS", verbose=FALSE)

Arguments

`ARLa`	average run length in acceptance setting, aka. in control state. Specifies the number of observations before false alarm.
`ARLr`	average run length in rejection state, aka. out of control state. Specifies the number of observations before an increase is detected (i.e. detection delay)
`sided`	one-sided cusum scheme
`method`	Which method to use in the function `optim`. Standard choice is BFGS, but in some situation Nelder-Mead can be advantageous.
`verbose`	gives extra information about the root finding process

Details

Functions from the spc package are used in a simple univariate root finding problem.

Value

Returns a list with reference value k and decision interval h.

Examples

if (requireNamespace("spc")) {
    find.kh(ARLa=500,ARLr=7,sided="one")
    find.kh(ARLa=500,ARLr=3,sided="one")
}

surveillance

Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

v1.19.1

GPL-2

Authors

Michael H<f6>hle [aut, ths] (<https://orcid.org/0000-0002-0423-6702>), Sebastian Meyer [aut, cre] (<https://orcid.org/0000-0002-1791-9449>), Michaela Paul [aut], Leonhard Held [ctb, ths], Howard Burkom [ctb], Thais Correa [ctb], Mathias Hofmann [ctb], Christian Lang [ctb], Juliane Manitz [ctb], Andrea Riebler [ctb], Daniel Saban<e9>s Bov<e9> [ctb], Ma<eb>lle Salmon [ctb], Dirk Schumacher [ctb], Stefan Steiner [ctb], Mikko Virtanen [ctb], Wei Wei [ctb], Valentin Wimmer [ctb], R Core Team [ctb] (A few code segments are modified versions of code from base R)

Initial release

2021-03-30