https://github.com/cran/Matrix
Tip revision: 67fa9aef5a46595f1b0f51f0a5bc1f7e1196e8f7 authored by Douglas Bates on 08 June 2005, 00:00:00 UTC
version 0.96-1
version 0.96-1
Tip revision: 67fa9ae
INDEX
bCrosstab Create pairwise crosstabulation
BIC Bayesian Information Criterion
Cholesky-class Cholesky and Bunch-Kaufman Decompositions
corrmatrix-class Class "corrmatrix"
dCholCMatrix-class Cholesky Decompositions of dsCMatrix Objects
dgBCMatrix-class Class "dgBCMatrix" Real Sparse Blocked Column
Compressed Matrix
dgCMatrix-class Compressed, sparse, column-oriented numeric
matrices
dgeMatrix-class General S4 Matrix class
dgRMatrix-class Compressed, sparse, row-oriented numeric
matrices
dgTMatrix-class Sparse matrices in triplet form
dMatrix-class (Virtual) Class "dMatrix" of "double" Matrices
dpoMatrix-class Positive semi-definite, dense, numeric
matrices
dsCMatrix-class Symmetric, compressed, sparse column matrices
dsparseMatrix-class Virtual Class "dsparseMatrix" of Numeric
Sparse Matrices
dsyMatrix-class Symmetric, dense matrices
dtCMatrix-class Triangular, compressed, sparse column matrices
dtpMatrix-class Packed triangular dense matrices
dtrMatrix-class Triangular, dense, numeric matrices
expand Expand a Decomposition into Factors
expm Matrix exponential
facmul Multiplication by Decomposition Factors
fixef Extract Fixed Effects
Hilbert Generate a Hilbert matrix
lmer Fit linear mixed-effects models
lmer-class Mixed model representations
lsparseMatrix-class Sparse logical matrices
lu Triangular Decomposition of a Square Matrix
LU-class LU Matrix Decompositions
Matrix Construct a Classed Matrix
Matrix-class Virtual Class "Matrix" Class of Matrices
[-methods Methods for "[": Extraction or Subsetting in
Package 'Matrix'.
mm A sample sparse model matrix
norm Norm of a Matrix
pdmatrix-class Positive-definite matrices
pMatrix-class Permutation matrices
ranef Extract Random Effects
rcond Estimate the Reciprocal Condition Number
Schur Schur Decomposition of a Matrix
sparseMatrix-class Virtual Class "sparseMatrix" -- Mother of
Sparse Matrices
tcrossprod Cross-product of transpose
unpack Full Storage Representation of Packed Matrices
VarCorr Extract variance and correlation components
VarCorr-class Class "VarCorr"
y A sample response vector