useDynLib(SSN, .registration = TRUE)
export(additive.function, BlockPredict, covparms, createDistMat, EmpiricalSemivariogram, Torgegram, getPreds, glmssn, getSSNdata.frame, GR2, importPredpts, importSSN, InfoCritCompare, noPoints, putSSNdata.frame, plot.Torgegram, plot.glmssn.predict, plot.influenceSSN, plot.SpatialStreamNetwork, predict.glmssn, SimulateOnSSN, residuals.glmssn, subsetSSN, summary.SpatialStreamNetwork, varcomp, CrossValidationSSN, CrossValidationStatsSSN, BLUP, writeSSN, updatePath, splitPredictions)
export(binomialDesign, hardCoreDesign, poissonDesign, systematicDesign)
export(createSSN, iterativeTreeLayout, igraphKamadaKawai)
importFrom(graphics,boxplot)
S3method(hist,SpatialStreamNetwork)
S3method(hist, influenceSSN)
S3method(boxplot,SpatialStreamNetwork)
S3method(qqnorm, SpatialStreamNetwork)
S3method(qqnorm, influenceSSN)
S3method(summary, SpatialStreamNetwork)
S3method(print, SpatialStreamNetwork)
S3method(plot, influenceSSN)
S3method(plot, glmssn.predict)
S3method(plot, SpatialStreamNetwork)
S3method(plot, Torgegram)
S3method(summary, glmssn)
S3method(summary, glmssn.predict)
S3method(summary, influenceSSN)
S3method(names, SpatialStreamNetwork)
S3method(print, glmssn)
S3method(print, glmssn.predict)
S3method(print, influenceSSN)
S3method(predict, glmssn)
S3method(AIC, glmssn)
