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‎src/RcppExports.cpp

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@@ -232,6 +232,107 @@ BEGIN_RCPP
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return rcpp_result_gen;
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END_RCPP
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}
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// c_rmatrix
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Rcpp::NumericMatrix c_rmatrix(uint32_t nrow, uint32_t ncol, uint32_t rng);
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RcppExport SEXP _RcppML_c_rmatrix(SEXP nrowSEXP, SEXP ncolSEXP, SEXP rngSEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< uint32_t >::type nrow(nrowSEXP);
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Rcpp::traits::input_parameter< uint32_t >::type ncol(ncolSEXP);
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Rcpp::traits::input_parameter< uint32_t >::type rng(rngSEXP);
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rcpp_result_gen = Rcpp::wrap(c_rmatrix(nrow, ncol, rng));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_rtimatrix
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Rcpp::NumericMatrix c_rtimatrix(uint32_t nrow, uint32_t ncol, uint32_t rng);
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RcppExport SEXP _RcppML_c_rtimatrix(SEXP nrowSEXP, SEXP ncolSEXP, SEXP rngSEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< uint32_t >::type nrow(nrowSEXP);
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Rcpp::traits::input_parameter< uint32_t >::type ncol(ncolSEXP);
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Rcpp::traits::input_parameter< uint32_t >::type rng(rngSEXP);
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rcpp_result_gen = Rcpp::wrap(c_rtimatrix(nrow, ncol, rng));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_runif
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Rcpp::NumericVector c_runif(const uint32_t n, const float min, const float max, const uint32_t rng, const uint32_t rng2);
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RcppExport SEXP _RcppML_c_runif(SEXP nSEXP, SEXP minSEXP, SEXP maxSEXP, SEXP rngSEXP, SEXP rng2SEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< const uint32_t >::type n(nSEXP);
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Rcpp::traits::input_parameter< const float >::type min(minSEXP);
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Rcpp::traits::input_parameter< const float >::type max(maxSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng(rngSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng2(rng2SEXP);
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rcpp_result_gen = Rcpp::wrap(c_runif(n, min, max, rng, rng2));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_rbinom
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Rcpp::IntegerVector c_rbinom(const uint32_t n, uint32_t size, const uint32_t inv_probability, const uint32_t rng, const uint32_t rng2);
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RcppExport SEXP _RcppML_c_rbinom(SEXP nSEXP, SEXP sizeSEXP, SEXP inv_probabilitySEXP, SEXP rngSEXP, SEXP rng2SEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< const uint32_t >::type n(nSEXP);
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Rcpp::traits::input_parameter< uint32_t >::type size(sizeSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type inv_probability(inv_probabilitySEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng(rngSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng2(rng2SEXP);
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rcpp_result_gen = Rcpp::wrap(c_rbinom(n, size, inv_probability, rng, rng2));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_sample
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std::vector<uint32_t> c_sample(const uint32_t n, const uint32_t size, const bool replace, const uint32_t rng, const uint32_t rng2);
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RcppExport SEXP _RcppML_c_sample(SEXP nSEXP, SEXP sizeSEXP, SEXP replaceSEXP, SEXP rngSEXP, SEXP rng2SEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< const uint32_t >::type n(nSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type size(sizeSEXP);
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Rcpp::traits::input_parameter< const bool >::type replace(replaceSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng(rngSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type rng2(rng2SEXP);
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rcpp_result_gen = Rcpp::wrap(c_sample(n, size, replace, rng, rng2));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_rtisparsematrix
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Rcpp::S4 c_rtisparsematrix(const uint32_t nrow, const uint32_t ncol, const uint32_t inv_probability, const bool pattern_only, uint32_t rng);
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RcppExport SEXP _RcppML_c_rtisparsematrix(SEXP nrowSEXP, SEXP ncolSEXP, SEXP inv_probabilitySEXP, SEXP pattern_onlySEXP, SEXP rngSEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< const uint32_t >::type nrow(nrowSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type ncol(ncolSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type inv_probability(inv_probabilitySEXP);
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Rcpp::traits::input_parameter< const bool >::type pattern_only(pattern_onlySEXP);
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Rcpp::traits::input_parameter< uint32_t >::type rng(rngSEXP);
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rcpp_result_gen = Rcpp::wrap(c_rtisparsematrix(nrow, ncol, inv_probability, pattern_only, rng));
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return rcpp_result_gen;
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END_RCPP
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}
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// c_rsparsematrix
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Rcpp::S4 c_rsparsematrix(const uint32_t nrow, const uint32_t ncol, const uint32_t inv_probability, const bool pattern_only, uint32_t rng);
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RcppExport SEXP _RcppML_c_rsparsematrix(SEXP nrowSEXP, SEXP ncolSEXP, SEXP inv_probabilitySEXP, SEXP pattern_onlySEXP, SEXP rngSEXP) {
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BEGIN_RCPP
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Rcpp::RObject rcpp_result_gen;
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Rcpp::RNGScope rcpp_rngScope_gen;
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Rcpp::traits::input_parameter< const uint32_t >::type nrow(nrowSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type ncol(ncolSEXP);
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Rcpp::traits::input_parameter< const uint32_t >::type inv_probability(inv_probabilitySEXP);
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Rcpp::traits::input_parameter< const bool >::type pattern_only(pattern_onlySEXP);
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Rcpp::traits::input_parameter< uint32_t >::type rng(rngSEXP);
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rcpp_result_gen = Rcpp::wrap(c_rsparsematrix(nrow, ncol, inv_probability, pattern_only, rng));
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return rcpp_result_gen;
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END_RCPP
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}
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// Rcpp_bipartite_match
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Rcpp::List Rcpp_bipartite_match(Rcpp::NumericMatrix x);
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RcppExport SEXP _RcppML_Rcpp_bipartite_match(SEXP xSEXP) {
@@ -257,6 +358,13 @@ static const R_CallMethodDef CallEntries[] = {
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{"_RcppML_Rcpp_bipartition_dense", (DL_FUNC) &_RcppML_Rcpp_bipartition_dense, 9},
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{"_RcppML_Rcpp_dclust_sparse", (DL_FUNC) &_RcppML_Rcpp_dclust_sparse, 9},
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{"_RcppML_nnls", (DL_FUNC) &_RcppML_nnls, 8},
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{"_RcppML_c_rmatrix", (DL_FUNC) &_RcppML_c_rmatrix, 3},
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{"_RcppML_c_rtimatrix", (DL_FUNC) &_RcppML_c_rtimatrix, 3},
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{"_RcppML_c_runif", (DL_FUNC) &_RcppML_c_runif, 5},
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{"_RcppML_c_rbinom", (DL_FUNC) &_RcppML_c_rbinom, 5},
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{"_RcppML_c_sample", (DL_FUNC) &_RcppML_c_sample, 5},
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{"_RcppML_c_rtisparsematrix", (DL_FUNC) &_RcppML_c_rtisparsematrix, 5},
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{"_RcppML_c_rsparsematrix", (DL_FUNC) &_RcppML_c_rsparsematrix, 5},
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{"_RcppML_Rcpp_bipartite_match", (DL_FUNC) &_RcppML_Rcpp_bipartite_match, 1},
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{NULL, NULL, 0}
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};

‎src/RcppFunctions.cpp

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@@ -266,7 +266,7 @@ Rcpp::List Rcpp_dclust_sparse(const Rcpp::S4& A, const unsigned int min_samples,
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//' @return vector or matrix giving solution for \code{x}
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//' @export
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//' @author Zach DeBruine
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//' @seealso \code{\link{nmf}}, \code{\link{predict.nmf}}
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//' @seealso \code{\link{nmf}}, \code{\link{project}}
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//' @md
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//'
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//' @references

‎src/bipartiteMatch.o

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