#
# Conditional build:
%bcond_without tests # do not perform "make test"
-#
-%include /usr/lib/rpm/macros.perl
+
%define pdir Statistics
%define pnam ROC
+%include /usr/lib/rpm/macros.perl
Summary: Statistics::ROC - receiver-operator-characteristic (ROC) curves with nonparametric confidence bounds
Summary(pl.UTF-8): Statistics::ROC - krzywe ROC z nieparametrycznymi przedziałami ufności
Name: perl-Statistics-ROC
Group: Development/Languages/Perl
Source0: http://www.cpan.org/modules/by-module/%{pdir}/%{pdir}-%{pnam}-%{version}.tar.gz
# Source0-md5: 92f9036e1dec5c41a9ccd008e484b1fc
+URL: http://search.cpan.org/dist/Statistics-ROC/
BuildRequires: perl-devel >= 1:5.8.0
BuildRequires: rpm-perlprov >= 4.1-13
%if %{with tests}
%description
This program determines the ROC curve and its nonparametric confidence
-bounds for data categorized into two groups. A ROC curve shows the
+bounds for data categorized into two groups. A ROC curve shows the
relationship of probability of false alarm (x-axis) to probability of
-detection (y-axis) for a certain test. Expressed in medical terms:
-the probability of a positive test, given no disease to the
-probability of a positive test, given disease. The ROC curve may be
-used to determine an optimal cutoff point for the test.
+detection (y-axis) for a certain test. Expressed in medical terms: the
+probability of a positive test, given no disease to the probability of
+a positive test, given disease. The ROC curve may be used to determine
+an optimal cutoff point for the test.
%description -l pl.UTF-8
Ten program określa krzywą ROC i jej nieparametryczne przedziały