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NAMESPACE
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NAMESPACE
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useDynLib(mvabund)
export(RcppVersion,
as.mvabund,
anova.manylm,
anova.manyglm,
anova.manyany,
anova.traitglm,
boxplot.mvabund,
boxplot.mvformula,
best.r.sq,
# coefplot, #see if this fixes warning
coefplot.manyglm,
cv.glm1path,
deviance.manylm,
extend.x.formula,
formulaUnimva,
glm1,
glm1path,
is.mvabund,
is.mvformula,
mvabund,
mvformula,
manylm,
manyglm,
manyany,
predict.manylm,
predict.manyglm,
predict.traitglm,
print.manyany,
print.manyglm,
print.anova.manyany,
print.anova.manylm,
print.summary.manylm,
print.anova.manyglm,
print.summary.manyglm,
print.mvformula,
plotMvaFactor,
plotFormulafeature,
plot.glm1path,
plot.mvabund,
plot.manylm,
plot.manyglm,
plot.manyany,
plot.mvformula,
ridgeParamEst,
residuals.glm1path,
residuals.manyany,
residuals.manyglm,
summary.manylm,
summary.manyglm,
shiftpoints,
traitglm,
unabund
)
exportClasses(mvabund, mvformula)
exportMethods(meanvar.plot)
import(Rcpp, MASS, graphics, methods, tweedie, statmod, parallel)
S3method(extractAIC, manyglm)
S3method(logLik, manyglm)
S3method(logLik, manylm)
S3method(logLik, manyany)
S3method(anova, manyany)
S3method(anova, manyglm)
S3method(anova, manylm)
S3method(anova, traitglm)
S3method(summary, manyglm)
S3method(summary, manylm)
S3method(predict, manyglm)
S3method(predict, manylm)
S3method(predict, traitglm)
S3method(deviance, manylm)
S3method(residuals, manyany)
S3method(residuals, manyglm)
S3method(residuals, glm1path)
S3method(plot, manyany)
S3method(plot, manyglm)
S3method(plot, manylm)
S3method(plot, mvabund)
S3method(plot, mvformula)
S3method(plot, glm1path)
S3method(boxplot, mvabund)
S3method(boxplot, mvformula)
S3method(coefplot, manyglm)
S3method(print, anova.manyany)
S3method(print, anova.manyglm)
S3method(print, anova.manylm)
S3method(print, manyany)
S3method(print, manyglm)
S3method(print, mvformula)
S3method(print, summary.manyglm)
S3method(print, summary.manylm)
importFrom("grDevices", "bmp", "dev.cur", "dev.interactive", "dev.list", "dev.off", "dev.set",
"jpeg", "palette", "pdf", "png", "postscript", "rainbow")
importFrom("stats", ".getXlevels", "as.formula", "binomial", "coef", "contrasts", "contrasts<-",
"cov", "dbinom", "dnbinom", "dpois", "dcauchy", "deviance", "df.residual", "dfbeta",
"dnorm", "fitted", "formula", "gaussian", "glm", "is.empty.model", "lm", "loess.smooth",
"logLik", "make.link", "model.frame", "model.matrix", "model.offset", "model.response",
"model.weights", "na.exclude", "na.fail", "na.omit", "na.pass", "naprint", "naresid",
"pbinom", "pcauchy", "pf", "pnbinom", "pnorm", "poisson", "poly", "ppois", "predict",
"predict.glm", "predict.lm", "printCoefmat", "qbinom", "qcauchy", "qnbinom", "qnorm",
"qpois", "quantile", "rbinom", "reformulate", "residuals", "rnbinom", "rpois", "runif",
"sd", "symnum", "terms", "update", "var", "variable.names", "weighted.residuals",
"weights", "Gamma")
importFrom("utils", "data", "flush.console", "installed.packages")
importFrom("mgcv", "interpret.gam")