Description Usage Arguments Details Value References Examples
Computes the inverse cumulative function for a given vector of probabilities p.
It requires the qzipfman
function implemented into the
tolerance
package refered below.
1 |
p |
Vector of probabilities. |
alpha |
Value of the α parameter (α > 1). |
beta |
Value of the β parameter (β > 0). |
log.p |
Logical; if TRUE, probabilities p are given as log(p). |
lower.tail |
Logical; if TRUE (default), probabilities are P[X ≤q x], otherwise, P[X > x]. |
The quantiles of a MOEZipf distribution for a given probability
vector p
, are obtained by computing the quantiles associated to a Zipf distribution with
the same parameter α, and probability vector equal to:
p\prime = \frac{p\,β}{1 + p\,(β - 1)}
Quantiles associated to a given probability vector p
.
Young, D. S. (2010). Tolerance: an R package for estimating tolerance intervals. Journal of Statistical Software, 36(5), 1-39.
1 | qmoezipf(0.56, 2.5, 1.3)
|
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