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Revision 963 - (download) (annotate)
Mon Oct 3 01:44:56 2005 UTC (13 years, 8 months ago) by bates
File size: 4471 byte(s)
Modifications to mer2
bCrosstab               Create pairwise crosstabulation
BIC                     Bayesian Information Criterion
Cholesky-class          Cholesky and Bunch-Kaufman Decompositions
corrmatrix-class        Class "corrmatrix"
CsparseMatrix-class     Class "CsparseMatrix" of Sparse Matrices in
                        Column-compressed Form
dCholCMatrix-class      Cholesky Decompositions of dsCMatrix Objects
ddenseMatrix-class      Virtual Class "ddenseMatrix" of Numeric Dense
denseMatrix-class       Virtual Class "denseMatrix" of All Dense
dgBCMatrix-class        Class "dgBCMatrix" Real Sparse Blocked Column
                        Compressed Matrix
dgCMatrix-class         Compressed, sparse, column-oriented numeric
dgeMatrix-class         Class "dgeMatrix" of Dense Numeric (S4 Class)
dgRMatrix-class         Compressed, sparse, row-oriented numeric
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         Numeric Symmetric Sparse (column compressed)
dsparseMatrix-class     Virtual Class "dsparseMatrix" of Numeric Sparse
dsRMatrix-class         Symmetric Sparse Compressed Row Matrices
dsyMatrix-class         Symmetric Dense Numeric Matrices
dtCMatrix-class         Triangular, (compressed) sparse column matrices
dtpMatrix-class         Packed triangular dense matrices
dtrMatrix-class         Triangular, dense, numeric matrices
dtRMatrix-class         Triangular Sparse Compressed Row Matrices
expand                  Expand a Decomposition into Factors
expm                    Matrix exponential
facmul                  Multiplication by Decomposition Factors
fixef                   Extract Fixed Effects
Hilbert                 Generate a Hilbert matrix
iMatrix-class           Virtual Classes Not Yet Used
index-class             Virtual Class "index" - Simple Class for Matrix
ldenseMatrix-class      Virtual Class "ldenseMatrix" of Dense Logical
lgeMatrix-class         Class "lgeMatrix" of General Dense Logical
lmer                    Fit (Generalized) Linear Mixed-Effects Models
lmer-class              Mixed model representations
lsparseMatrix-class     Sparse logical matrices
lsyMatrix-class         Symmetric Dense Logical Matrices
ltrMatrix-class         Triangular Dense 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
mcmcsamp                Generate an MCMC sample
[<--methods             Methods for "[<-" - Assigning to Subsets for
[-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
readHB                  Read and write external matrix formats
Schur                   Schur Decomposition of a Matrix
simulate                Simulate responses from a fitted model
sleepstudy              Reaction times in a sleep deprivation study
sparseMatrix-class      Virtual Class "sparseMatrix" -- Mother of
                        Sparse Matrices
symmetricMatrix-class   Virtual Class of Symmetric Matrices in
tcrossprod              Cross-product of transpose
                        Virtual Class of Triangular Matrices in
TsparseMatrix-class     Class "TsparseMatrix" of Sparse Matrices in
                        Triplet Form
unpack                  Full Storage Representation of Packed Matrices
VarCorr                 Extract variance and correlation components
VarCorr-class           Class "VarCorr"
y                       A sample response vector
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