stratCI {tbea}

stratCI: Estimate the confidence intervals of endpoints in stratigraphic intervals

Description

stratCI: Estimate the confidence intervals of endpoints in stratigraphic intervals

Usage

stratCI(times, method, nparams, C, endpoint, confidence, quantile)

Arguments

times

a vector of occurrences in time for which we want to estimate the endpoints of the stratigraphic interval

method

a character describing which method to use, either 'Strauss-Sadler89' or 'Marshall94'.

nparams

A character indicating whether to estimate one or two parameters, possible values are 'one.par' and 'two.par'.

C

numeric indicating the confidence level, e.g. 0.95

endpoint

used only for nparams = 'one.par'. Possible values are 'first' and 'last'.

confidence

the confidence interval level, usually 0.95.

quantile

the desired confidence level for a quantile representing the brackets around the confidence interval.

Details

For method='Strauss-Sadler89' we need to provide ‘nparams', 'C', and 'endpoint'. For method=’Marshall94' we need to provide 'confidence' and 'quantile'.

Value

A named vector when using the 'Strauss-Sadler89' method, or an unnamed vector when using the 'Marshall94' method.

Author(s)

Gustavo A. Ballen.

Examples

data(andes)
andes <- andes$ages
# remove missing data
andes <- andes[complete.cases(andes)]
# remove outliers
andes <- sort(andes[which(andes < 10)])
stratCI(andes, method="Strauss-Sadler89",
        nparams="one.par", C=0.95, endpoint="first")
stratCI(andes, method="Strauss-Sadler89",
        nparams="one.par", C=0.95, endpoint="last")
stratCI(andes, method="Strauss-Sadler89",
        nparams="two.par", C=0.95)
stratCI(andes, method="Marshall94", confidence = 0.95,
        quantile = 0.8)
stratCI(andes, method="Marshall94", confidence = 0.95,
        quantile = 0.95)