Results 211–220 of 792 for /math/.(0.003 seconds)
Robust Covariance Matrix Estimators
Model-robust standard error estimators for cross-sectional, time
series and longitudinal data.
R Classes and Methods for Spatial Data
R-sp is a package that provides classes and methods for spatial
data. The classes document where the spatial location information
resides, for 2D or 3D data. Utility functions are provided, e.g.
for plotting data as maps, spatial selection, as well as methods
for retrieving coordinates, for subsetting, print, summary, etc.
Revised Argand library for solving large-scale eigenvalue problems
ARPACK-NG is a collection of Fortran77 subroutines designed to solve
large-scale eigenvalue problems. It is a fork of the Rice University
ARPACK, and is jointly-maintained by Debian, Octave, and Scilab.
glm-like formula to define dynamic generalized linear models
A glm-like formula language to define dynamic generalized
linear models (state space models).
Includes functions for Kalman filtering and smoothing.
Estimation of variance matrices can be performed using
the EM algorithm in case of Gaussian models.
GAP is a system for computational discrete algebra
GAP (Groups, Algorithms and Programming) is a system for computational
discrete algebra with particular emphasis on, but not restricted to
computational group theory.
i2p JNI to GNU MP Bignum library (libgmp)
[ excerpt from developer's web site ]
Using JNI (Java Native Interface), a bit of C code (thanks ugha!),
a little manual work and a piece of chewinggum: it is possible to
make the public key cryptography quite a bit faster.
General-purpose award-winning SAT solver
CryptoMiniSat is a modern, multi-threaded, feature-rich, simplifying SAT
solver, featuring over 100 configurable parameters to tune to specific
need, collection of statistical data to MySQL database + javascript-based
visualization of it and clean C++ and python interfaces.
Extensible Time Series
Provide for uniform handling of R's different time-based data classes
by extending zoo, maximizing native format information preservation
and allowing for user level customization and extension, while
simplifying cross-class interoperability.
Basic Linear Algebra Subroutines
The BLAS (Basic Linear Algebra Subprograms) are high quality "building block"
routines for performing basic vector and matrix operations. Level 1 BLAS do
vector-vector operations, Level 2 BLAS do matrix-vector operations, and Level
3 BLAS do matrix-matrix operations. Because the BLAS are efficient, portable,
and widely available, they're commonly used in the development of high quality
linear algebra software -- LINPACK and LAPACK, for example.
The original Fortran77 reference implementation of the BLAS is located in the
blas directory of Netlib. However, this port uses the updated sources
distributed with LAPACK.
S3 Infrastructure for Regular and Irregular Time Series
An S3 class with methods for totally ordered indexed observations.
It is particularly aimed at irregular time series of numeric
vectors/matrices and factors. zoo's key design goals are independence
of a particular index/date/time class and consistency with ts and
base R by providing methods to extend standard generics.