VGAM (version 0.9-1)

rig: Reciprocal Inverse Gaussian distribution

Description

Estimation of the parameters of a reciprocal inverse Gaussian distribution.

Usage

rig(lmu = "identity", llambda = "loge", imu = NULL, ilambda = 1)

Arguments

lmu, llambda

Link functions for mu and lambda. See Links for more choices.

imu, ilambda

Initial values for mu and lambda. A NULL means a value is computed internally.

Value

• An object of class "vglmff" (see vglmff-class). The object is used by modelling functions such as vglm, and vgam.

Details

See Jorgensen (1997) for details.

References

Jorgensen, B. (1997) The Theory of Dispersion Models. London: Chapman & Hall

See Also

simplex.

Examples

rdata <- data.frame(y = rchisq(n = 100, df = 14)) # Not 'proper' data!!
fit <- vglm(y ~ 1, rig, rdata, trace = TRUE)
fit <- vglm(y ~ 1, rig, rdata, trace = TRUE, eps = 1e-9, crit = "coef")
summary(fit)