apply.spam()
|
Apply Functions Over Sparse Matrix Margins |
as.spam.matrix.csr() as.dgRMatrix.spam() as.dgCMatrix.spam() as.spam.dgRMatrix() as.spam.dgCMatrix()
|
Transformation to Other Sparse Formats |
bandwidth()
|
Bandwidth of a Sparse Matrix |
bdiag.spam()
|
Binds Arrays Corner-to-Corner |
cbind.spam rbind.spam cbind rbind cbind,spam-method rbind,spam-method
|
Combine Sparse Matrices by Rows or Columns |
circulant.spam()
|
Create Circulant Matrices |
cleanup()
|
Cleaning up sparse matrices |
coerce.spam coerce,spam,logical-method coerce,spam,matrix-method coerce,spam,vector-method coerce,spam,list-method coerce,spam,integer-method
|
Force a spam Object to Belong to a Class |
complexity complexities
|
Complexity for Sparse Matrices |
covmat() cov.exp() cov.sph() cov.nug() cov.wend1() cov.wend2() cov.wu1() cov.wu2() cov.wu3() cov.mat() cov.finnmat() cov.mat12() cov.mat32() cov.mat52() cor.sph()
|
Covariance Functions |
crossprod.spam() tcrossprod.spam()
|
Spam Matrix Crossproduct |
det() determinant()
|
Determinant of a Symmetric Positive Definite Sparse Matrix |
`diag<-`() diag.spam() spam_diag() `diag.spam<-`()
|
Sparse Matrix diagonals |
dim.spam dim dim
|
Dimensions of an Object |
display()
|
Graphially Represent the Nonzero Entries |
eigen.spam() eigen_approx()
|
Eigenvalues for Sparse Matrices |
gmult()
|
Generalized Multiplication |
grid_trace2()
|
Two trace plots and a scatter plot. |
grid_zoom()
|
grid_zoom |
read.HB() read.MM()
|
Read External Matrix Formats |
kronecker.spam()
|
Kronecker Products on Sparse Matrices |
large_matrix large matrix large_matries large matries 64bit 64bits long vector long vectors spam64
|
Large 64-bit matrices require the R package spam64 |
lower.tri() upper.tri()
|
Lower and Upper Triangular Part of a Sparse Matrix |
precmat.GMRFreglat()
|
Create Precision Matrices |
Math Math.spam Math,spam-method ceiling.spam ceiling,spam-method floor.spam floor,spam-method trunc.spam trunc,spam-method exp.spam exp,spam-method log.spam log,spam-method log2.spam log2,spam-method log10.spam log10,spam-method sqrt.spam sqrt,spam-method gamma.spam gamma,spam-method digamma.spam digamma,spam-method trigamma.spam trigamma,spam-method lgamma.spam lgamma,spam-method abs.spam abs,spam-method cumprod.spam cumprod,spam-method cumsum.spam cumsum,spam-method cummax.spam cummax,spam-method cummin.spam cummin,spam-method cos.spam cos,spam-method cosh.spam cosh,spam-method acos.spam acos,spam-method acosh.spam acosh,spam-method sin.spam sin,spam-method asin.spam asin,spam-method asinh.spam asinh,spam-method tan.spam tan,spam-method atan.spam atan,spam-method atanh.spam atanh,spam-method
|
Mathematical Functions |
methods.spam
|
Methods for Sparse Matrices |
neg2loglikelihood.spam() neg2loglikelihood() neg2loglikelihood.nomean() mle.spam() mle() mle.nomean.spam() mle.nomean()
|
Maximum likelihood estimates |
nearest.dist()
|
Distance Matrix Computation |
spam.options options.spam getOption.spam
|
Options Settings |
ordering()
|
Extract the permutation |
`pad<-`()
|
Padding a Sparse Matrix |
permutation.spam()
|
Permute a Matrix |
powerboost()
|
Specific Options Setting |
precmat() precmat.RW1() precmat.RW2() precmat.RWn() precmat.season() precmat.IGMRFreglat() precmat.IGMRFirreglat()
|
IGMRF Precision Matrices |
rmvnorm.conditional()
|
Draw Conditional Multivariate Normals |
rmvnorm.const() rmvnorm.prec.const() rmvnorm.canonical.const()
|
Draw Constrainted Multivariate Normals |
rmvnorm() rmvnorm.spam() rmvnorm.prec() rmvnorm.canonical()
|
Draw Multivariate Normals |
rmvt() rmvt.spam()
|
Draw From a Multivariate t-Distribution |
rgrf()
|
Draw From a Gaussian Random Field |
`rowpointers<-`() `colindices<-`() `entries<-`()
|
Slot Modification |
rowSums() colSums() rowMeans() colMeans()
|
Form Row and Column Sums and Means |
spam-package SPAM Spam . SPAM .
|
SPArse Matrix Package |
spam() as.spam() is.spam()
|
Sparse Matrix Class |
spam_random()
|
Create Random Sparse Matrices |
spam_rdist() spam_rdist.earth()
|
Wrapper for Distance Matrix Computation |
Ops.spam spam.ops %*%-methods %*%,ANY,ANY-method %*%,spam,spam-method %*%,spam,matrix-method %*%,spam,numeric-method %*%,matrix,spam-method %*%,numeric,spam-method %d*% %d*%,spam,spam-method %d*%,spam,ANY-method %d*%,matrix,spam-method %d*%,matrix,ANY-method %d*%,spam,numeric-method %d*%,numeric,spam-method %d*%,numeric,matrix-method %d*%,numeric,numeric-method %d+% %d+%,spam,spam-method %d+%,spam,ANY-method %d+%,matrix,spam-method %d+%,matrix,ANY-method %d+%,spam,numeric-method %d+%,numeric,matrix-method %d+%,numeric,spam-method %d+%,numeric,numeric-method +,spam,spam-method +,matrix,spam-method +,spam,matrix-method +,ANY,spam-method +,spam,ANY-method -,spam,spam-method -,matrix,spam-method -,spam,matrix-method -,ANY,spam-method -,spam,ANY-method *,spam,spam-method *,ANY,spam-method *,spam,ANY-method /,spam,spam-method /,ANY,spam-method /,spam,ANY-method /,matrix,spam-method ^,spam,spam-method ^,ANY,spam-method ^,spam,ANY-method &,spam,ANY-method &,spam,spam-method &,ANY,spam-method |,spam,ANY-method |,ANY,spam-method |,spam,spam-method ^,spam-method %%,spam-method %/%,spam-method >,spam-method >=,spam-method ==,spam-method !=,spam-method norm norm.spam norm,ANY-method norm,spam,character-method norm,spam,missing-method norm,numeric,missing-method norm,numeric,character-method norm,matrix,missing-method norm,matrix,character-method t.spam ncol,spam-method nrow,spam-method dim,ANY-method dim,spam-method [.spam [ [ [ [ [ [ [ [ [ plot.spam subset.spam assign.spam
|
Basic Linear Algebra for Sparse Matrices |
Summary Summary.spam Summary,spam-method all.spam any.spam max.spam min.spam prod.spam range.spam sum.spam all,spam-method any,spam-method max,spam-method min,spam-method prod,spam-method range,spam-method sum,spam-method
|
Rounding of Numbers |
toeplitz.spam()
|
Create Toeplitz Matrices |
triplet()
|
Transform a "spam" Format to Triplets |
validate_spam()
|
Validate a Sparse Matrix |
spam.version
|
Spam Version Information |