internal.ucls: Internal rucl UCL functions

In ebailey78/rucl: Upper Confidence Limit (UCL) functions for R

Description

Functions used by the 'rucl' package to calculate various UCLs (upper confidence limits of the mean). These functions assume that all parameters have been previously calculated. See 'xxxxxxx' for functions intended to be used by the user.

Usage

b.adjgamma(m, k, n, a, ...)
b.appgamma(m, k, n, a, ...)
b.cheb(m, se, a)
b.hallboot(x, m, n, skew, se, con, N, ...)
b.hucl(m, sd, n, con, ...)
b.modt(m, u3, se, n, con)
b.modz(m, se, skew, n, con)
b.mvue(m, v, n, a)
b.pboot(B, con)
b.tucl(m, se, n, con, ...)
b.zboot(B, con)
b.zucl(m, se, con, ...)
cu.bcaboot(B, x, d, m, n, con, N, ...)
cu.tboot(x, d, m, se, con, N, ...)
uu.bcaboot(B, x, m, n, con, N, ...)
uu.tboot(x, m, se, con, N, ...)

Arguments

m	the mean of the sample
k	an estimate of the gamma distribution shape parameter for the sample
n	sample size
a	alpha level
se	standard error
skew	skewness
con	confidence level
N	number of bootstrap iterations
sd	standard deviation
u3
v	variance
B	vector of bootstrap statistics
d	dataset used in calculation
...	additional arguments to be passed to other functions

Value

returns a numeric vector of length 1 containing the UCL based on provided parameters.

Author(s)

Eric Bailey (Indiana Department of Environmental Management)

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.

## The function is currently defined as
function (m, k, n, a, ...) 
{
    b <- max(0, mns.interpolate(mns.adja, new.x = c(n = n, a = a)))
    2 * n * k * m/qchisq(b, 2 * n * k)
  }

ebailey78/rucl documentation built on May 15, 2019, 7:29 p.m.