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read.matrix.hb() model.matrix() model.response()
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Harwell-Boeing Format Sparse Matrices |
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image(<matrix.csr>)
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Image Plot for Sparse Matrices |
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as.matrix.csr() as.matrix.csc(<matrix.csr>) as.matrix.ssr(<matrix.coo>) as.matrix.ssc(<matrix.csc>) as.matrix.coo(<matrix.csr>) is.matrix.csr() is.matrix.csc() is.matrix.ssr() is.matrix.ssc() is.matrix.coo()
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Sparse Matrix Class Ontology |
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Ops.matrix.csr Ops.matrix.diag.csr %*%-methods %*%,ANY,ANY-method %*%,matrix.csr,matrix.csr-method %*%,matrix.csr,matrix-method %*%,matrix.csr,numeric-method %*%,matrix,matrix.csr-method %*%,numeric,matrix.csr-method kronecker-methods kronecker,matrix.csr,matrix.csr-method kronecker,matrix.csr,matrix-method kronecker,matrix.csr,numeric-method kronecker,matrix,matrix.csr-method kronecker,numeric,matrix.csr-method +,matrix.csr-method -,matrix.csr-method *,matrix.csr-method /,matrix.csr-method ^,matrix.csr-method %%,matrix.csr-method %/%,matrix.csr-method >,matrix.csr-method >=,matrix.csr-method <,matrix.csr-method <=,matrix.csr-method ==,matrix.csr-method !=,matrix.csr-method &,matrix.csr-method |,matrix.csr-method norm norm,ANY-method norm,matrix.csr,character-method norm,matrix.csr,missing-method det determinant determinant,matrix.csr.chol,missing-method determinant,matrix.csr.chol,logical-method determinant,matrix.csr,missing-method determinant,matrix.csr,logical-method t,ANY-method t,matrix.csr-method t,matrix.csc-method t,matrix.coo-method diag,ANY-method diag,matrix.csr-method diag<-,ANY-method diag<-,matrix.csr-method diag<-,matrix.diag.csr-method diff,matrix.csr-method diff<-,ANY-method diff<-,matrix.csr-method diag.assign,matrix.csr-method ncol,matrix.csr-method nrow,matrix.csr-method dim,ANY-method dim,matrix.csr-method dim,matrix.csc-method dim,matrix.ssr-method dim,matrix.ssc-method dim,matrix.coo-method rbind.matrix.csr cbind.matrix.csr [.matrix.csr [.matrix.diag.csr [<-.matrix.csr [<-.matrix.diag.csr [.matrix.coo [<-.matrix.coo
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Basic Linear Algebra for Sparse Matrices |
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chol() backsolve(<matrix.csr.chol>) forwardsolve(<matrix.csr.chol>) solve(<matrix.csr>)
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Linear Equation Solving via Cholesky Decomposition for Sparse Matrices |
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character or NULL-class
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Class "character or NULL" |
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lsq
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Least Squares Problems in Surveying |
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matrix.coo-class
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Class "matrix.coo" – Sparse Matrices in [Coo]rdinate Format |
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matrix.csc-class
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Class "matrix.csc" - Sparse Matrices in [C]ompressed [S]parse [C]olumn Format |
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matrix.csc.hb-class show,matrix.csc.hb-method show,matrix.ssc.hb-method
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Class "matrix.csc.hb" - Column Compressed Sparse Matrices stored in Harwell-Boeing Format |
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matrix.csr-class matrix.diag.csr-class show,matrixSpM-method show,matrix.csr.chol-method
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Class "matrix.csr" - Sparse Matrices in Compressed Sparse Row Format |
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matrix.csr.chol-class
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Class "matrix.csr.chol" (Block Sparse Cholesky Decomposition) |
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matrix.ssc-class
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Class "matrix.ssc" - Sparse Matrices in [S]ymmetric [S]parse [C]olumn Format |
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matrix.ssc.hb-class
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Class "matrix.ssc.hb" |
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matrix.ssr-class
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Class "matrix.ssr" - Sparse Matrices in [S]ymmetric [S]parse [R]ow Format |
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mslm-class
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Class "mslm" |
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numeric or NULL-class
|
Class "numeric or NULL" |
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slm-class
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Class "slm" |
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slm()
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Fit a linear regression model using sparse matrix algebra |
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slm.fit() slm.wfit() slm.fit.csr()
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Internal slm fitting functions |
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summary(<slm>) summary(<mslm>) print(<slm>) print(<summary.slm>) fitted(<slm>) residuals(<slm>) coef(<slm>) extractAIC(<slm>) deviance(<slm>)
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Methods for slm objects |
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summary.mslm-class
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Class "summary.mslm" |
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summary.slm-class
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Class "summary.slm" |
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triogramX
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A Design Matrix for a Triogram Problem |