Slash {VGAM} | R Documentation |
Slash Distribution
Description
Density function, distribution function, and random generation for the slash distribution.
Usage
dslash(x, mu = 0, sigma = 1, log = FALSE,
smallno = .Machine$double.eps*1000)
pslash(q, mu = 0, sigma = 1, very.negative = -10000,
lower.tail = TRUE, log.p = FALSE)
rslash(n, mu = 0, sigma = 1)
Arguments
x , q |
vector of quantiles. |
n |
Same as |
mu , sigma |
the mean and standard deviation of the univariate normal distribution. |
log |
Logical.
If |
very.negative |
Numeric, of length 1.
A large negative value.
For |
smallno |
See |
lower.tail , log.p |
Details
See slash
, the VGAM family function
for estimating the two parameters by maximum likelihood estimation,
for the formula of the probability density function and other details.
Function pslash
uses a for ()
loop and
integrate
, meaning it's very slow.
It may also be inaccurate for extreme values of q
,
and returns with 1 or 0 values when too extreme compared
to very.negative
.
Value
dslash
gives the density, and
pslash
gives the distribution function,
rslash
generates random deviates.
Note
pslash
is very slow.
Author(s)
Thomas W. Yee and C. S. Chee
See Also
Examples
## Not run:
curve(dslash, col = "blue", ylab = "f(x)", -5, 5, ylim = c(0, 0.4), las = 1,
main = "Standard slash, normal and Cauchy densities", lwd = 2)
curve(dnorm, col = "black", lty = 2, lwd = 2, add = TRUE)
curve(dcauchy, col = "orange", lty = 3, lwd = 2, add = TRUE)
legend("topleft", c("slash", "normal", "Cauchy"), lty = 1:3,
col = c("blue","black","orange"), lwd = 2)
curve(pslash, col = "blue", -5, 5, ylim = 0:1)
pslash(c(-Inf, -20000, 20000, Inf)) # Gives a warning
## End(Not run)