https://github.com/cran/Matrix
Revision e0a5d5dc7b84c423e5f4b36f254807bebacf4b80 authored by Douglas Bates on 16 December 2004, 00:00:00 UTC, committed by Gabor Csardi on 16 December 2004, 00:00:00 UTC
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Tip revision: e0a5d5dc7b84c423e5f4b36f254807bebacf4b80 authored by Douglas Bates on 16 December 2004, 00:00:00 UTC
version 0.8-21
Tip revision: e0a5d5d
INDEX
Cholesky-class          Cholesky decompositions
Hilbert                 Generate a Hilbert matrix
LU-class                LU decompositions
Matrix                  Construct a Classed Matrix
Matrix-class            Class "Matrix" Virtual class of Matrices
Schur                   Schur Decomposition of a Matrix
ScotsSec                Scottish secondary school scores
bCrosstab               Create pairwise crosstabulation
coef<-                  Assign parameters
corFactor               Extract the correlation factor
corMatrix               Generate the correlation matrix
corrmatrix-class        Class "corrmatrix"
cscBlocked-class        Class "cscBlocked" compressed, sparse, blocked
                        Matrix
cscMatrix-class         Class "cscMatrix" compressed, sparse, column
                        Matrix
expand                  Expand a Decomposition into Factors
facmul                  Multiplication by Decomposition Factors
geMatrix-class          General S4 Matrix class
lmeRep-class            lme models representation
lu                      Triangular Decomposition of a Square Matrix
matrix<-                Assign the matrix
mm                      A sample sparse model matrix
norm                    Norm of a Matrix
pdFactor                Square-root factor
pdMatrix                Return the positive-definite matrix
pdfactor-class          Factors of positive-definite matrices
pdmatrix-class          Positive-definite matrices
poMatrix-class          Positive semi-definite, dense, real matrices
rcond                   Estimate the Reciprocal Condition Number
sscChol-class           Cholesky decompositions of sscMatrix objects
sscCrosstab             Create pairwise crosstabulation
sscCrosstab-class       Pairwise crosstabulations
sscMatrix-class         Symmetric, compressed, sparse column matrices
ssclme-class            lme models as sparse, symmetric matrices
syMatrix-class          Class "syMatrix" of symmetric matrices
tcrossprod              Cross-product of transpose
trMatrix-class          Triangular, dense, non-packed, real matrices
tripletMatrix-class     Class "tripletMatrix" sparse matrices in
                        triplet form
tscMatrix-class         Triangular, compressed, sparse column matrices
unpack                  Full Storage Representation of Packed Matrices
y                       A sample response vector
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