| Slash | R Documentation |
Density function, distribution function, and random generation for the slash distribution.
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)
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 |
Same meaning as in |
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.
dslash gives the density, and
pslash gives the distribution function,
rslash generates random deviates.
pslash is very slow.
Thomas W. Yee and C. S. Chee
slash.
## 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)
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