useDynLib(spam, .registration = TRUE) #importFrom("grid", "grid.layout", "grid.draw", "unit", "gTree", "gList", "gpar", # "textGrob", "rectGrob", "linesGrob", "yaxisGrob", "xaxisGrob", "pointsGrob", # "editGrob", "grobHeight", "stringHeight", # "plotViewport","viewport","dataViewport", # "vpStack","vpList") import("grid") importFrom("dotCall64", ".C64", "integer_dc", "numeric_dc", "vector_dc") # these are the only functions exported by dotCall64, btw. importFrom("grDevices", "gray", "heat.colors") importFrom("graphics", "axis", "box", "image.default", "par", "points", "polygon", "text") importFrom("methods", "callGeneric", "is", "new", "slot<-", "validObject", "hasArg") importFrom("stats", "optim", "rnorm", "runif", "rbinom", "rchisq", "var", "dist") importFrom("utils", "help", "object.size") # Next two paragraphs are from Matrix.... # Currently, group generics need to be explicitly imported (Bug?): importFrom("methods", #Arith,Compare, Math, Math2, Summary#, Complex ) S3method("all.equal","spam") #S3method("as.matrix.csr","spam") S3method("as.matrix","spam") S3method("as.vector","spam") S3method("determinant","spam") S3method("determinant","spam.chol.NgPeyton") S3method("chol","spam") S3method("diff","spam") S3method("dim<-","spam") S3method("head","spam") S3method("image","spam") S3method("isSymmetric","spam") S3method("plot","spam") S3method("print","spam") S3method("print","spam.chol.NgPeyton") S3method("solve","spam") #S3method("subset_rows","spam") S3method("subset","spam") S3method("summary","spam") S3method("summary","spam.chol.NgPeyton") S3method("print","summary.spam") S3method("print","summary.spam.chol.NgPeyton") S3method("t","spam") S3method("tail","spam") S3method("update","spam.chol.NgPeyton") S3method("cbind","spam") S3method("rbind","spam") # Generic functions export( "spam_random", "validspamobject", # __DEFUNCT__ "is.spam", "spam.version", "spam.Version", "validate_spam", "nearest.dist", "spam_rdist", "spam_rdist.earth", "as.spam.matrix", "as.spam.numeric", "as.spam.spam", "as.spam.dist", "as.spam.chol.NgPeyton", "as.spam.list", "as.vector.spam", "as.matrix.spam", "spam.list", "spam.numeric", "diag.of.spam", "diag.spam", "spam_diag", "diag<-.spam", "diag.spam<-", "rbind.spam", "cbind.spam", "upper.tri.spam", "lower.tri.spam", "t.spam", "dim<-.spam", "pad<-.spam", "isSymmetric.spam", "all.equal.spam", "kronecker.default", "kronecker.spam", "gmult", "diff.spam", "circulant.spam", "toeplitz.spam", "determinant.spam", "determinant.spam.chol.NgPeyton", "det",# << "identical" as base - but with correct determinant() "chol.spam", "solve.spam", "forwardsolve.spam", "backsolve.spam", "update.spam.chol.NgPeyton", "norm.spam", "plot.spam", "display.spam", "image.spam", "print.spam", "summary.spam", "print.spam.chol.NgPeyton", "summary.spam.chol.NgPeyton", "apply.spam", "rmvnorm", "rmvnorm.spam", "rmvnorm.canonical", "rmvnorm.prec", "rmvnorm.const", "rmvnorm.canonical.const", "rmvnorm.prec.const", "rmvnorm.conditional", "rmvnorm.cond", "rmvt", "rmvt.spam", "rgrf", "precmat", "precmat.RW1", "precmat.RW2", "precmat.RWn", "precmat.season", "precmat.IGMRFreglat", "precmat.IGMRFirreglat", "precmat.GMRFreglat", "covmat", "cov.exp", "cov.sph", "cor.sph", "cov.nug", "cov.wu1", "cov.wu2", "cov.wu3", "cov.wend1", "cov.wend2", "cov.mat", "cov.finnmat", "cov.mat12", "cov.mat32", "cov.mat52", "rowSums.spam", "colSums.spam", "rowMeans.spam", "colMeans.spam", "head.spam", "tail.spam", "chol2inv.spam", "mle", "mle.spam", "mle.nomean", "mle.nomean.spam", "neg2loglikelihood", "neg2loglikelihood.nomean", "neg2loglikelihood.spam", "bdiag.spam", "var.spam", "eigen.spam", "eigen_approx", "bandwidth", # ".spam.matmul.mat", # ".spam.matmul", # "solve.spam.mat", # "solve.spam.dummy", "subset.spam", # "subset_rows.spam", "triplet", "as.spam.matrix.csr", # "as.matrix.csr.spam", "as.dgRMatrix.spam", "as.dgCMatrix.spam", "as.spam.dgRMatrix", "as.spam.dgCMatrix", "read.MM", "read.HB", "powerboost", "permutation.spam", "crossprod.spam", "tcrossprod.spam", "map.landkreis", "adjacency.landkreis", "germany.plot", # "germany.info", "grid_trace2", "grid_zoom", "rowpointers<-", "entries<-", "colindices<-", "dimension<-", "cleanup", # "backsolve" "print_nnzpos" ) # export the two classes exportClasses("spam", "spam.chol.NgPeyton") exportMethods( "Math", "Math2", "Summary", # "show", "print", "image", "display", "spam", "as.spam", "isSymmetric", "all.equal", "summary", "length", "length<-", "c", "dim", "dim<-", "pad<-", "rbind", "cbind", "as.spam", "spam", "as.vector", "as.matrix", "determinant", "t", "diag", "diag<-", "upper.tri", "lower.tri", "norm", "rowSums", "rowMeans", "colSums", "colMeans", "head", "tail", "chol", "ordering", "forwardsolve", "backsolve", "solve", "chol2inv", "kronecker", "permutation", "crossprod", "tcrossprod", "[", "[<-", "%*%", "%d*%", "%d+%", "-", "+", "*", "/", "&", "|" )