Slash Distribution
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 |
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.
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
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.