MINI MINI MANI MO
useDynLib(OREmodels)
importFrom(methods, is, new, representation, setMethod, setOldClass)
importFrom(grDevices, dev.interactive)
importFrom(graphics, panel.smooth, par, points)
importFrom(stats, add1, add.scope, as.formula, coef, coefficients,
confint, delete.response, deviance, drop1, drop.scope,
extractAIC, family, fitted, fitted.values, formula,
is.empty.model, hatvalues, logLik, model.frame, na.pass,
nobs, offset, predict, resid, residuals, spline, update,
update.formula, gaussian, na.fail, runif)
import(OREbase)
import(OREembed)
import(OREstats)
export(grabTree, ore.glm, ore.glm.control, ore.lm, ore.neural, ore.randomForest,
ore.stepwise)
S3method(summary, ore.glm)
S3method(vcov, ore.glm)
S3method(print, summary.ore.glm)
S3method(predict, ore.glm)
S3method(residuals, ore.glm)
S3method(summary, ore.lm)
S3method(logLik, ore.lm)
S3method(hatvalues, ore.lm)
S3method(vcov, ore.lm)
S3method(print, summary.ore.lm)
S3method(print, ore.stepwise)
S3method(predict, ore.lm)
S3method(plot, ore.lm)
S3method(drop1, ore.lm)
S3method(add1, ore.lm)
S3method(predict, ore.neural)
S3method(print, ore.neural)
S3method(summary, ore.neural)
S3method(print, summary.ore.neural)
S3method(coef, ore.neural)
S3method(grabTree, ore.randomForest)
S3method(predict, ore.randomForest)
S3method(print, ore.randomForest)
OHA YOOOO