GitHub - rlowrance/Apophenia: A C library for statistical and scientific computing

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Name		Name	Last commit message	Last commit date
Latest commit History 39 Commits
docs		docs
eg		eg
install		install
model		model
tests		tests
ChangeLog		ChangeLog
README		README
README.developer		README.developer
apop.h		apop.h
apop.i		apop.i
apop_arms.c		apop_arms.c
apop_asst.c		apop_asst.c
apop_bootstrap.c		apop_bootstrap.c
apop_conversions.c		apop_conversions.c
apop_data.c		apop_data.c
apop_db.c		apop_db.c
apop_db_mysql.c		apop_db_mysql.c
apop_db_sqlite.c		apop_db_sqlite.c
apop_fexact.c		apop_fexact.c
apop_fix_params.c		apop_fix_params.c
apop_hist.c		apop_hist.c
apop_linear_algebra.c		apop_linear_algebra.c
apop_linear_constraint.c		apop_linear_constraint.c
apop_mapply.c		apop_mapply.c
apop_missing_data.c		apop_missing_data.c
apop_mle.c		apop_mle.c
apop_model.c		apop_model.c
apop_model_transform.c		apop_model_transform.c
apop_name.c		apop_name.c
apop_output.c		apop_output.c
apop_rake.c		apop_rake.c
apop_regression.c		apop_regression.c
apop_settings.c		apop_settings.c
apop_smoothing.c		apop_smoothing.c
apop_stats.c		apop_stats.c
apop_tests.c		apop_tests.c
apop_update.c		apop_update.c
asprintf.c		asprintf.c
asst.h		asst.h
cmd_apop_db_to_crosstab.c		cmd_apop_db_to_crosstab.c
cmd_apop_lookup.c		cmd_apop_lookup.c
cmd_apop_merge_dbs.c		cmd_apop_merge_dbs.c
cmd_apop_plot_query.c		cmd_apop_plot_query.c
cmd_apop_text_to_db.c		cmd_apop_text_to_db.c
db.h		db.h
deprecated.h		deprecated.h
internal.h		internal.h
makefile		makefile
prep_variadics.sed		prep_variadics.sed
settings.h		settings.h
stats.h		stats.h
types.h		types.h
variadic.h		variadic.h

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Apophenia is an open statistical library for working with data sets and 
statistical or simulation models. It provides functions on the same level 
as those of the typical stats package (such as OLS, probit, or singular 
value decomposition) but gives the user more flexibility to be creative 
in model-building. The core functions are written in C, but bindings 
exist for Python (and they should be easy to bind to in Perl/Ruby/&c.)

If you want to know more about the package, see the web site,
http://apophenia.info, or have a look at the textbook from Princeton
University Press that coevolved with Apophenia, downloadable from
http://modelingwithdata.org . 

Detailed setup instructions can be found at
http://apophenia.sourceforge.net/doc/setup.html .

The quick summary for installation:
--You need the usual C compiler and the supporting environment that a
sane programmer requires.

--The library makes an effort to not reinvent already-developed systems
like matrix inversion or database querying, which means that the package
has several dependencies. You need the GNU Scientific Library (wich needs
a BLAS like libgslcblas or lapack), and are strongly encouraged to have a
database system, either SQLite or mysql (if not sure, install sqlite3). If
you are using a system with a package manager of some sort, there is
certainly a package for all of these. Be sure to include both the main
package and the lib-, -dev, or -devel package. On my Ubuntu system,
I'd run this package-install command:

apt-get install gsl-bin libgsl0-dev libblas-dev libblas3gf liblapack3gf sqlite3 libsqlite3-0 libsqlite3-dev

--There is an optional Python interface, which will require all of the above plus the
swig and Python-dev packages.

--One you have it in place,

tar xzf apophenia-X.XX.tar.gz 
cd apophenia-X.XX
./configure; make; sudo make install

should compile for you.

--Once you have it installed, the user manual is in the form of a textbook
on statistical computing at http://modelingwithdata.org and the
command-by-command reference is at http://apophenia.info/doc . You can
make the online documentation yourself if you have Doxygen installed,
via make doc.