family {gss} | R Documentation |
Utility Functions for Error Families
Description
Utility functions for fitting Smoothing Spline ANOVA models with non-Gaussian responses.
Usage
mkdata.binomial(y, eta, wt, offset)
dev.resid.binomial(y, eta, wt)
dev.null.binomial(y, wt, offset)
cv.binomial(y, eta, wt, hat, alpha)
y0.binomial(y, eta0, wt)
proj0.binomial(y0, eta, offset)
kl.binomial(eta0, eta1, wt)
cfit.binomial(y, wt, offset)
mkdata.poisson(y, eta, wt, offset)
dev.resid.poisson(y, eta, wt)
dev.null.poisson(y, wt, offset)
cv.poisson(y, eta, wt, hat, alpha, sr, q)
y0.poisson(eta0)
proj0.poisson(y0, eta, wt, offset)
kl.poisson(eta0, eta1, wt)
cfit.poisson(y, wt, offset)
mkdata.Gamma(y, eta, wt, offset)
dev.resid.Gamma(y, eta, wt)
dev.null.Gamma(y, wt, offset)
cv.Gamma(y, eta, wt, hat, rss, alpha)
y0.Gamma(eta0)
proj0.Gamma(y0, eta, wt, offset)
kl.Gamma(eta0, eta1, wt)
cfit.Gamma(y, wt, offset)
mkdata.inverse.gaussian(y, eta, wt, offset)
dev.resid.inverse.gaussian(y, eta, wt)
dev.null.inverse.gaussian(y, wt, offset)
cv.inverse.gaussian(y, eta, wt, hat, rss, alpha)
y0.inverse.gaussian(eta0)
proj0.inverse.gaussian(y0, eta, wt, offset)
kl.inverse.gaussian(eta0, eta1, wt)
cfit.inverse.gaussian(y, wt, offset)
mkdata.nbinomial(y, eta, wt, offset, nu)
dev.resid.nbinomial(y, eta, wt)
dev.null.nbinomial(y, wt, offset)
cv.nbinomial(y, eta, wt, hat, alpha)
y0.nbinomial(y,eta0,nu)
proj0.nbinomial(y0, eta, wt, offset)
kl.nbinomial(eta0, eta1, wt, nu)
cfit.nbinomial(y, wt, offset, nu)
mkdata.polr(y, eta, wt, offset, nu)
dev.resid.polr(y, eta, wt, nu)
dev.null.polr(y, wt, offset)
cv.polr(y, eta, wt, hat, nu, alpha)
y0.polr(eta0)
proj0.polr(y0, eta, wt, offset, nu)
kl.polr(eta0, eta1, wt)
cfit.polr(y, wt, offset)
mkdata.weibull(y, eta, wt, offset, nu)
dev.resid.weibull(y, eta, wt, nu)
dev.null.weibull(y, wt, offset, nu)
cv.weibull(y, eta, wt, hat, nu, alpha)
y0.weibull(y, eta0, nu)
proj0.weibull(y0, eta, wt, offset, nu)
kl.weibull(eta0, eta1, wt, nu, int)
cfit.weibull(y, wt, offset, nu)
mkdata.lognorm(y, eta, wt, offset, nu)
dev.resid.lognorm(y, eta, wt, nu)
dev0.resid.lognorm(y, eta, wt, nu)
dev.null.lognorm(y, wt, offset, nu)
cv.lognorm(y, eta, wt, hat, nu, alpha)
y0.lognorm(y, eta0, nu)
proj0.lognorm(y0, eta, wt, offset, nu)
kl.lognorm(eta0, eta1, wt, nu, y0)
cfit.lognorm(y, wt, offset, nu)
mkdata.loglogis(y, eta, wt, offset, nu)
dev.resid.loglogis(y, eta, wt, nu)
dev0.resid.loglogis(y, eta, wt, nu)
dev.null.loglogis(y, wt, offset, nu)
cv.loglogis(y, eta, wt, hat, nu, alpha)
y0.loglogis(y, eta0, nu)
proj0.loglogis(y0, eta, wt, offset, nu)
kl.loglogis(eta0, eta1, wt, nu, y0)
cfit.loglogis(y, wt, offset, nu)
Arguments
y |
Model response. |
eta |
Fitted values on link scale. |
wt |
Model weights. |
offset |
Model offset. |
nu |
Size for nbinomial. Inverse scale for log life time. |
Note
gssanova0
uses mkdata.x
, dev.resid.x
,
and dev.null.x
. gssanova
uses the above plus
dev0.resid.x
and cv.x
.
y0.x
, proj0.x
, kl.x
, and cfit.x
are used
by project.gssanova
.
[Package gss version 2.2-4 Index]