| family {gss} | R Documentation |
Utility functions for fitting Smoothing Spline ANOVA models with non-Gaussian responses.
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) 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.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)
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. |
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.