BoomSpikeSlab/NAMESPACE at master · cran/BoomSpikeSlab · GitHub

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import(Boom)

importFrom("grDevices", "gray")
importFrom("graphics", "abline", "barplot", "boxplot", "hist", "legend", "par",
           "plot", "points", "strwidth")
importFrom("stats", ".checkMFClasses", ".getXlevels", "as.formula", "coef",
           "delete.response", "dt", "median", "model.frame", "model.matrix",
           "model.matrix.default", "model.response", "na.omit", "na.pass",
           "plogis", "plot.ts", "pnorm", "predict", "qchisq", "qlogis", "qnorm",
           "quantile", "reshape", "rnorm", "rt", "sd", "terms", "update", "var")
importFrom("utils", "help", "tail")

export(BayesNnet,
       BsplineBasis,
       CoefficientGroup,
       ConditionalZellnerPrior,
       GetPredictorMatrix,
       HiddenLayer,
       IndependentSpikeSlabPrior,
       IsplineBasis,
       knots,
       LogitZellnerPrior,
       MsplineBasis,
       MultinomialLogitSpikeSlabPrior,
       NestedRegression,
       OdaOptions,
       PartialDependencePlot,
       PlotBayesNnetPredictions,
       PlotBayesNnetResiduals,
       PlotLmSpikeCoefficients,
       PlotLmSpikeResiduals,
       PlotLmSpikeFit,
       PlotLogitSpikeFitSummary,
       PlotLogitSpikeResiduals,
       PlotNetworkStructure,
       PlotProbitSpikeResiduals,
       PlotMarginalInclusionProbabilities,
       PlotModelSize,
       PoissonZellnerPrior,
       SpikeSlabGlmPrior,
       SpikeSlabGlmPriorDirect,
       SpikeSlabPrior,
       SpikeSlabPriorDirect,
       SpikeSlabPriorBase,
       ShrinkageRegression,
       SsvsOptions,
       StudentIndependentSpikeSlabPrior,
       StudentSpikeSlabPrior,
       SuggestBurn,
       SummarizeSpikeSlabCoefficients,
       lm.spike,
       logit.spike,
       mlm.spike,
       model.matrix.glm.spike,
       plot.lm.spike,
       plot.logit.spike,
       plot.qreg.spike,
       plot.poisson.spike,
       poisson.spike,
       predict.BayesNnet,
       predict.lm.spike,
       predict.logit.spike,
       predict.probit.spike,
       predict.poisson.spike,
       predict.qreg.spike,
       probit.spike,
       qreg.spike,
       residuals.lm.spike,
       summary.lm.spike,
       summary.logit.spike,
       summary.probit.spike
)

S3method(model.matrix, glm.spike)

S3method(plot, lm.spike)
S3method(predict, lm.spike)
S3method(residuals, lm.spike)
S3method(summary, lm.spike)

S3method(print, summary.lm.spike)

S3method(plot, logit.spike)
S3method(predict, logit.spike)
S3method(summary, logit.spike)

S3method(plot, probit.spike)
S3method(predict, probit.spike)
S3method(summary, probit.spike)
S3method(print, summary.probit.spike)

S3method(plot, poisson.spike)
S3method(predict, poisson.spike)

S3method(plot, qreg.spike)
S3method(predict, qreg.spike)

S3method(plot, BayesNnet)
S3method(predict, BayesNnet)

S3method(print, summary.logit.spike)

S3method(knots, SplineBasis)

useDynLib(BoomSpikeSlab, .registration = TRUE)