Source: jmodeltest
Version: 2.1.10+dfsg-5
Severity: serious
Tags: buster sid patch
https://tests.reproducible-builds.org/debian/rb-pkg/unstable/amd64/jmodeltest.html
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(inputenc) not set up for use with LaTeX.
See the inputenc package documentation for explanation.
Type H <return> for immediate help.
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l.75 ...stic is asymptotically distributed as a χ
2 with q degrees of freedo...
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l.75 ...stic is asymptotically distributed as a χ
2 with q degrees of freedo...
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Transcript written on manual.log.
make[1]: *** [debian/rules:15: override_dh_auto_build] Error 1
Fix is attached.
Description: Fix FTBFS with TeX Live 2018
Author: Adrian Bunk <b...@debian.org>
--- jmodeltest-2.1.10+dfsg.orig/manual/sec-theory.tex
+++ jmodeltest-2.1.10+dfsg/manual/sec-theory.tex
@@ -72,7 +72,7 @@ In traditional statistical theory, a wid
LRT=2(l_1-l_0)
\]
where $l_1$ is the maximum likelihood under the more parameter-rich, complex
model (alternative hypothesis) and $l_0$ is the maximum likelihood under the
less parameter-rich simple model (null hypothesis).
- When the models compared are nested (the null hypothesis is a special case of
the alternative hypothesis) and the null hypothesis is correct, the LRT
statistic is asymptotically distributed as a χ2 with q degrees of freedom,
where q is the difference in number of free parameters between the two models
\citep{Kendall-1979, Goldman-1993b}. Note that, to preserve the nesting of the
models, the likelihood scores need to be estimated upon the same tree. When
some parameter is fixed at its boundary (p-inv, α), a mixed χ2 is used instead
\citep{Ohta-1992, Goldman-2000}. The behavior of the χ2 approximation for the
LRT has been investigated with quite a bit of detail \citep{Goldman-1993a,
Goldman-1993b, Yang-1995, Whelan-1999, Goldman-2000}.
+ When the models compared are nested (the null hypothesis is a special case of
the alternative hypothesis) and the null hypothesis is correct, the LRT
statistic is asymptotically distributed as a $\chi^2$ with q degrees of
freedom, where q is the difference in number of free parameters between the two
models \citep{Kendall-1979, Goldman-1993b}. Note that, to preserve the nesting
of the models, the likelihood scores need to be estimated upon the same tree.
When some parameter is fixed at its boundary (p-inv, $\alpha$), a mixed
$\chi^2$ is used instead \citep{Ohta-1992, Goldman-2000}. The behavior of the
$\chi^2$ approximation for the LRT has been investigated with quite a bit of
detail \citep{Goldman-1993a, Goldman-1993b, Yang-1995, Whelan-1999,
Goldman-2000}.
\subsection{Hierarchical Likelihood Ratio Tests (hLRT)}
\label{sec:hlrt}
