./wip/myfitter, Maximum Likelihood Fits in C++

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Branch: CURRENT, Version: 0.1, Package name: myfitter-0.1, Maintainer: jihbed.research

myFitter is a C++ class library for maximum likelihood fits and the numerical
computation of p-values in likelihood ratio tests.

In some situations the statistical significance (p-value) of a likelihood ratio
test can not be computed analytically. This is, for example, the case when some
parameters of the model are only allowed to float within a certain range or when
the models being compared are not nested, meaning that neither model can be
obtained from the other by fixing some of its parameters.

myFitter implements a method for efficient numerical computation of p-values.
This method is also applicable in the case of non-nested models


Required to run:
[math/gsl] [wip/dvegas]

Required to build:
[devel/boost-headers] [pkgtools/cwrappers]

Master sites:

RMD160: 851cef435b4fc3d800dc947577ad93bc54649c5c
Filesize: 482.172 KB

Version history: (Expand)

CVS history: (Expand)


   2012-10-03 17:09:47 by Aleksej Saushev | Files touched by this commit (124) 
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-08-31 20:23:40 by Kamel Derouiche | Files touched by this commit (4) 
Log message:
Import myfitter-0.1 as wip/myfitter.

 myFitter is a C++ class library for maximum likelihood fits and the numerical
computation of p-values in likelihood ratio tests.

In some situations the statistical significance (p-value) of a likelihood ratio
test can not be computed analytically. This is, for example, the case when some
parameters of the model are only allowed to float within a certain range or when
the models being compared are not nested, meaning that neither model can be
obtained from the other by fixing some of its parameters.

myFitter implements a method for efficient numerical computation of p-values.
This method is also applicable in the case of non-nested models