PR: 210595
Submitted by: yuri@rawbw.com
PySparse extends the Python interpreter by a set of sparse matrix
types holding double precision values. PySparse also includes modules
that implement:
- iterative methods for solving linear systems of equations
- a set of standard preconditioners
- an interface to a direct solver for sparse linear systems of
equations (SuperLU)
- a Jacobi-Davidson eigenvalue solver for the symmetric, generalised
matrix eigenvalue problem (JDSYM)
https://github.com/PythonOptimizers/pysparse
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In addition to supporting GMP or MPIR for multiple-precision integer and
rational arithmetic, gmpy2 adds support for the MPFR (correctly rounded real
floating-point arithmetic) and MPC (correctly rounded complex floating-point
arithmetic) libraries.
WWW: https://pypi.python.org/pypi/gmpy2
WWW: https://github.com/aleaxit/gmpy/releases
PR: 210127
Submitted by: yuri@rawbw.com
Sets can be created from and displayed as integer spans such as
1-3,14,29,92-97 rather than exhaustive member listings.
WWW: https://pypi.python.org/pypi/intspan/
Arithmetic (via S4 classes and methods) for arbitrary precision
floating point numbers, including transcendental ("special")
functions. To this end, Rmpfr interfaces to the LGPL'ed MPFR (Multiple
Precision Floating-Point Reliable) Library which itself is based
on the GMP (GNU Multiple Precision) Library.
WWW: https://cran.r-project.org/web/packages/Rmpfr/
Submitted by: Jukka A. Ukkonen <jau_AT_iki_DOT_fi> (via private e-mail)
Multiple Precision Arithmetic (big integers and rationals, prime
number tests, matrix computation), "arithmetic without limitations"
using the C library GMP (GNU Multiple Precision Arithmetic).
WWW: https://cran.r-project.org/web/packages/gmp/
cumulative link models, Cox models, loglinear models, and general maximum
pseudolikelihood estimation for multistage stratified, cluster-sampled,
unequally weighted survey samples. Variances by Taylor series linearisation
or replicate weights. Post-stratification, calibration, and raking. Two-phase
subsampling designs. Graphics. PPS sampling without replacement. Principal
components, factor analysis.
WWW: http://r-survey.r-forge.r-project.org/survey/
The octave-forge package is the result of The GNU Octave Repositry project,
which is intended to be a central location for custom scripts, functions and
extensions for GNU Octave. contains the source for all the functions plus
build and install scripts.
This is zeromq.
ZeroMQ bindings for GNU Octave.
This program demonstrates the working principles of some 20 sorting
algorithms and is very easy to use. Select the algorithm, the speed
of the visualisation and whether you want to get sound output (that
reflects the values being moved and is characteristic for each kind
of algorithm).
Approved by: antoine (mentor)
The octave-forge package is the result of The GNU Octave Repositry project,
which is intended to be a central location for custom scripts, functions and
extensions for GNU Octave. contains the source for all the functions plus
build and install scripts.
The octave-forge package is the result of The GNU Octave Repositry project,
which is intended to be a central location for custom scripts, functions and
extensions for GNU Octave. contains the source for all the functions plus
build and install scripts.
This port uses math/librsb, which is quite difficult to install. Therefore
this port will not be installed as part of the math/octave-forge meta-port.
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control groups with similar covariate distributions - can be used
to match exactly on covariates, to match on propensity scores, or
perform a variety of other matching procedures.
WWW: http://gking.harvard.edu/matchit
mean, scale, and correlation structures, through mean link,
scale link, and correlation link. Can also handle clustered
categorical responses.
WWW: https://cran.r-project.org/web/packages/geepack/
declare the pre and post conditions that you code should satisfy,
while also producing friendly error messages so that your users
know what they've done wrong.
WWW: https://cran.r-project.org/web/packages/assertthat/
(such as a survey), from a time series (like variables collected for
each year in a country), or from a time-series-cross-sectional data set
(such as collected by years for each of several countries).
WWW: http://gking.harvard.edu/amelia
There are two reasons to rename this port.
1) Upstream never liked it and requested -spark be the suffix instead
2) An ongoing attempt to fix lang/spark may result in a number of slave
ports with a -spark suffix, so this keeps up consistency as all of
these ports only exist to support that port.
optimization, and related tools. It includes a unified way to
call different optimizers, and classes and methods to handle the
results from the ML viewpoint. It also includes a number of
convenience tools for testing and developing your own models.
WWW: http://www.maxlik.org/
models.At the heart of it are the vector generalized linear and
additive model (VGLM/VGAM) classes, and the book "Vector Generalized
Linear and Additive Models: With an Implementation in R" (Yee, 2015)
gives details of the statistical framework and VGAM package. Currently
only fixed-effects models are implemented, i.e., no random-effects models.
WWW: https://www.stat.auckland.ac.nz/~yee/VGAM
Estimation and inference methods for models of conditional quantiles:
Linear and nonlinear parametric and non-parametric (total variation
penalized) models for conditional quantiles of a univariate response
and several methods for handling censored survival data. Portfolio
selection methods based on expected shortfall risk are also included.
WWW: https://cran.r-project.org/web/packages/quantreg/
Some basic linear algebra functionality for sparse matrices is
provided: including Cholesky decomposition and backsolving as well
as standard R subsetting and Kronecker products.
WWW: https://cran.r-project.org/web/packages/SparseM/
Test in linear mixed effects models. Attention is on linear mixed
effects models as implemented in the lme4 package. The package
implements a parametric bootstrap test. The package implements a
Kenward-Roger modification of F-tests.
WWW: https://cran.r-project.org/web/packages/pbkrtest/
Fit linear and generalized linear mixed-effects models. The models
and their components are represented using S4 classes and methods.
The core computational algorithms are implemented using the Eigen
C++ library for numerical linear algebra and RcppEigen "glue".
WWW: https://github.com/lme4/lme4/
nloptr is an R interface to NLopt. NLopt is a free/open-source
library for nonlinear optimization, providing a common interface
for a number of different free optimization routines available
online as well as original implementations of various other algorithms.
WWW: https://cran.r-project.org/web/packages/nloptr/
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Add beignet 1.1.0.
Add clinfo, clblas, clfft and clrng.
The major change is that all Mesa ports are now configured the same way.
This fixes several problems and enables new features. The details
are described in this blog post:
http://blogs.freebsdish.org/graphics/2015/03/18/unifying-mesa-ports-configure/
The second important change is the OpenCL support. Mesa's
implementation, Clover, is enabled as well as Beignet. Clover
targets all Gallium drivers, only Radeon GPUs in our case. Beignet
is for Intel GPUs starting with Ivy Bridge. Thanks to Johannes
Dieterich, O. Hartman, and Koop Mast for their work on OpenCL! As a
bonus, there are several OpenCL-based math ports added (clblas,
clfft and clrng). For more information and known issues, please see
https://wiki.freebsd.org/Graphics/OpenCL
The third change is the removal of Mesa 9.1.7 which was installed on
FreeBSD 9.3-RELEASE. There is now only one version of Mesa in the Ports
tree (10.6.6) for all supported versions of FreeBSD.
Other, smaller changes:
* Include libosmesa into the Mesa framework; this changes libOSMesa
shlib version.
* bsd.mesalib.mk was renamed and split up in two files namely
Makefile.common and Makefile.targets. So ports can overwrite variables
set by Makefile.common and are used by Makefile.targets.
* Some text in the pkg-descr files was wrong, clean it up. While here,
update the WWW to the main mesa3d.org upstream page.
* devel/clinfo was added, a glxinfo like program but for OpenCL.
Non-x86 hardware reports are very welcome since we changed the framework
quite a bit.
Obtained from: Graphics team development repo.
