d_scaled_inv_chisq: Scaled inverse chi-squared density
In kleinschmidt/beliefupdatr: Belief updating for phonetic adaptation
Description
Usage
Arguments
Details
Value
Description
We compute this based on the chi-squared density function. Our random
variable y is obtained from a chi-squared(nu) variable x via
Usage
1
d_scaled_inv_chisq(y, sigma2, nu, log = FALSE)
Arguments
y
Point to calculate density for
sigma2
Scale parameter
nu
Degrees of freedom
log
Default: FALSE
Details
y = g(x) = nu * sigma^2 * 1/x
x = g^-1(y) = nu*sigma^2 * 1/y
Thus, the density function f_Y(y) is obtained from f_X = dchisq via
f_Y(y) = d/dy g^-1(y) * f_X(g^-1(y))
= y^-2 * nu*sigma^2 * dchisq(nu*sigma^2/y, nu)
Value
The density of y under the scaled-inverse-chi-squared distribution
kleinschmidt/beliefupdatr documentation built on May 24, 2020, 8:26 p.m.
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Description Usage Arguments Details Value
Description
We compute this based on the chi-squared density function. Our random variable y is obtained from a chi-squared(nu) variable x via
Usage
1 | d_scaled_inv_chisq(y, sigma2, nu, log = FALSE)
|
Arguments
y |
Point to calculate density for |
sigma2 |
Scale parameter |
nu |
Degrees of freedom |
log |
Default: FALSE |
Details
y = g(x) = nu * sigma^2 * 1/x x = g^-1(y) = nu*sigma^2 * 1/y
Thus, the density function f_Y(y) is obtained from f_X = dchisq via
f_Y(y) = d/dy g^-1(y) * f_X(g^-1(y)) = y^-2 * nu*sigma^2 * dchisq(nu*sigma^2/y, nu)
Value
The density of y under the scaled-inverse-chi-squared distribution
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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