Task: Statistics
Description: Debian Science Statistics packages
 This metapackage is part of the Debian Pure Blend "Debian Science"
 and installs packages related to statistics.  This task is a general
 task which might be useful for any scientific work.  It depends from
 a lot of R packages as well as from other tools which are useful to
 do statistics.  Moreover the Science Mathematics task is suggested
 to optionally install all mathematics related software.

Depends: ess, littler, r-recommended, rkward
Why: R utilities or frontends

Depends: r-cran-mapproj, r-cran-abind, r-cran-acepack, r-cran-bayesm, \
            r-cran-boot, r-cran-cairodevice, r-cran-car, r-cran-chron, \
            r-cran-cluster, r-cran-coda, r-cran-codetools, r-cran-date, \
            r-cran-dbi, r-cran-rms, r-cran-eco, \
            r-cran-effects, r-cran-fbasics, r-cran-fcalendar, \
            r-cran-fcopulae, r-cran-fecofin, r-cran-fextremes, \
            r-cran-fmultivar, r-cran-foptions, r-cran-foreign, \
            r-cran-fportfolio, r-cran-fseries, r-cran-gdata, r-cran-gmodels, \
            r-cran-gplots, r-cran-gregmisc, r-cran-gtools, r-cran-hdf5, \
            r-cran-hmisc, r-cran-its, r-cran-kernsmooth, r-cran-lattice, \
            r-cran-latticeextra, r-cran-lme4, r-cran-lmtest, r-cran-mapdata, \
            r-cran-maps, r-cran-matchit, r-cran-matrix, r-cran-mcmcpack, \
            r-cran-mgcv, r-cran-misc3d, r-cran-mnp, r-cran-multcomp, \
            r-cran-mvtnorm, r-cran-nlme, r-cran-pscl, r-cran-psy, \
            r-cran-qtl, r-cran-quadprog, r-cran-rcmdr, \
            r-cran-relimp, r-cran-rggobi, r-cran-rgl, r-cran-rgtk2, \
            r-cran-rmetrics, r-cran-rmpi, r-cran-rmysql, r-cran-rodbc, \
            r-cran-rpart, r-cran-rpvm, r-cran-rquantlib, r-cran-rserve, \
            r-cran-rsprng, r-cran-sandwich, r-cran-sm, r-cran-snow, \
            r-cran-strucchange, r-cran-survival, r-cran-tkrplot, \
            r-cran-tseries, r-cran-vgam, r-cran-vr, r-cran-xml, \
            r-cran-zelig, r-cran-zoo
Why: R CRAN

Comment: r-cran-rcompgen, r-cran-e1071
         These packages formerly mentioned above do not seem to exist.

Depends: r-other-gking-matchit

Depends: r-cran-msm, r-cran-amore, r-cran-teachingdemos

Depends: psignifit, python-stats

Depends: python-scipy
Why: Provides scipy.stats module

Suggests: r-cran-spc

Depends: r-cran-vcd

Depends: python-scikits.statsmodels
Homepage: http://statsmodels.sourceforge.net/
Language: Python
License: BSD
Responsible: Yaroslav Halchenko <debian@onerussian.com>
Pkg-URL: http://neuro.debian.net/pkgs/python-scikits.statsmodels.html
WNPP: 570604
Pkg-Description: classes and functions for the estimation of statistical models
 scikits.statsmodels is a pure Python package that provides classes
 and functions for the estimation of several categories of statistical
 models. These currently include linear regression models, OLS, GLS,
 WLS and GLS with AR(p) errors, generalized linear models for six
 distribution families and M-estimators for robust linear models. An
 extensive list of result statistics are available for each estimation
 problem.


Suggests: science-mathematics

Depends: python-openturns
Why: Uncertainty quantification in numerical simulation

 ; Added by blends-inject 0.0.7. [Please note here if modified manually]
Suggests: pandas
Homepage: http://pandas.sourceforge.net
Language: Python, Cython
WNPP: 641464
License: BSD-3
Pkg-URL: http://neuro.debian.net/pkgs/cctools.html
Pkg-Description: data structures for "relational" or "labeled" data
 pandas is a Python package providing fast, flexible, and expressive
 data structures designed to make working with "relational" or
 "labeled" data both easy and intuitive. It aims to be the fundamental
 high-level building block for doing practical, real world data
 analysis in Python. pandas is well suited for many different kinds of
 data:
 .
  - Tabular data with heterogeneously-typed columns, as in an SQL
    table or Excel spreadsheet
  - Ordered and unordered (not necessarily fixed-frequency) time
    series data.
  - Arbitrary matrix data (homogeneously typed or heterogeneous) with
    row and column labels
  - Any other form of observational / statistical data sets. The data
    actually need not be labeled at all to be placed into a pandas
    data structure
