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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