pcondig21 {igcop} | R Documentation |
IG Copula Family Functions
Description
Functions related to the IG copula family, denoted by 'ig'
.
Usage
pcondig21(v, u, theta, alpha)
qcondig21(p, u, theta, alpha)
qcondig(p, u, theta, alpha)
pcondig(v, u, theta, alpha)
pcondig12(u, v, theta, alpha)
qcondig12(p, v, theta, alpha)
dig(u, v, theta, alpha)
logdig(u, v, theta, alpha)
pig(u, v, theta, alpha)
rig(n, theta, alpha)
Arguments
u , v |
Vectors of values between 0 and 1 representing values of the first and second copula variables. |
theta |
Parameter of the IG copula family. Vectorized; >0. |
alpha |
Parameter of the IG copula family. Vectorized; >0. |
p |
Vector of quantile levels between 0 and 1 to evaluate a quantile function at. |
n |
Positive integer. Number of observations to randomly draw. |
Value
Numeric vector of length equal to the length of the input vector(s).
Note
Inputting two vectors greater than length 1 is allowed, if they're
the same length.
Also, qcondig21
and pcondig21
are the same as
qcondig
and pcondig
– they're the distributions of
variable 2 given 1.
Examples
u <- runif(10)
v <- runif(10)
pig(u, v, theta = 5, alpha = 1)
dig(u, v, theta = 2, alpha = 2)
logdig(u, v, theta = 2, alpha = 2)
pcondig21(v, u, theta = 3, alpha = 6)
qcondig21(v, u, theta = 3, alpha = 6)
pcondig12(u, v, theta = 3, alpha = 6)
qcondig12(u, v, theta = 3, alpha = 6)
rig(10, theta = 3, alpha = 3)
# log density available for extra precision
log(dig(0.1, 0.1, 2.5, 12.3)) == logdig(0.1, 0.1, 2.5, 12.3)
[Package igcop version 1.0.2 Index]