logUC: Logarithmic Distribution

Description Usage Arguments Details Value Note Author(s) References See Also Examples

Description

Density, distribution function, quantile function, and random generation for the logarithmic distribution.

Usage

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dlog(x, shape, log = FALSE)
plog(q, shape, lower.tail = TRUE, log.p = FALSE)
qlog(p, shape)
rlog(n, shape)

Arguments

x, q, p, n, lower.tail

Same interpretation as in runif.

shape

The shape parameter value c described in in logff.

log, log.p

Logical. If log.p = TRUE then all probabilities p are given as log(p).

Details

The details are given in logff.

Value

dlog gives the density, plog gives the distribution function, qlog gives the quantile function, and rlog generates random deviates.

Note

Given some response data, the VGAM family function logff estimates the parameter shape. For plog(), if argument q contains large values and/or q is long in length then the memory requirements may be very high. Very large values in q are handled by an approximation by Owen (1965).

Author(s)

T. W. Yee

References

Forbes, C., Evans, M., Hastings, N. and Peacock, B. (2011). Statistical Distributions, Hoboken, NJ, USA: John Wiley and Sons, Fourth edition.

See Also

logff, Gaitlog, Oilog. Otlog.

Examples

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dlog(1:20, 0.5)
rlog(20, 0.5)

## Not run:  shape <- 0.8; x <- 1:10
plot(x, dlog(x, shape = shape), type = "h", ylim = 0:1,
     sub = "shape=0.8", las = 1, col = "blue", ylab = "shape",
     main = "Logarithmic distribution: blue=density; orange=distribution function")
lines(x + 0.1, plog(x, shape = shape), col = "orange", lty = 3, type = "h") 
## End(Not run)

VGAM documentation built on Jan. 16, 2021, 5:21 p.m.