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cd ..; ./mkbibhtml; cp -r glmmbib.html gh-pages
clean:
rm -f *.log *.aux *.md *.out texput.log


4 changes: 2 additions & 2 deletions glmmFAQ.html
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Expand Up @@ -889,14 +889,14 @@ <h4 class="date">08 Oct 2023</h4>
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66 changes: 65 additions & 1 deletion glmmbib.html
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Expand Up @@ -53,6 +53,14 @@
<cite>Mostly Harmless Econometrics: An Empiricist's Companion</cite>.
Princeton University Press, Princeton, 1 edition edition, January 2009.</dd>

<!-- Authors: Arnqvist Göran -->
<dt><a name="arnqvist_mixed_2020">[Arnqvist,
2020]</a></dt><dd>Göran Arnqvist.
<a href="https://linkinghub.elsevier.com/retrieve/pii/S0169534719303465">Mixed
Models Offer No Freedom from Degrees of Freedom</a>.
<cite>Trends in Ecology &amp; Evolution</cite>, 35(4):329–335, April 2020.
(<a href="http://dx.doi.org/10.1016/j.tree.2019.12.004">doi:10.1016/j.tree.2019.12.004</a>)</dd>

<!-- Authors: Augustin Nicole H and Sauleau Erik André and Wood Simon N -->
<dt><a name="augustin_quantile_2012">[Augustin et al.,
2012]</a></dt><dd>Nicole H. Augustin,
Expand Down Expand Up @@ -958,6 +966,14 @@
<cite>The Annals of Statistics</cite>, 36(4):1669–1692, August 2008.
(<a href="http://dx.doi.org/10.1214/07-AOS517">doi:10.1214/07-AOS517</a>)</dd>

<!-- Authors: Jin Shaobo and Lee Youngjo -->
<!-- Keywords: hierarchical generalized linear models,random effect models -->
<dt><a name="jinReview2021">[Jin and Lee,
2021]</a></dt><dd>Shaobo Jin and Youngjo Lee.
A review of h-likelihood and hierarchical generalized linear model.
<cite>WIREs Computational Statistics</cite>, 13(5):e1527, 2021.
(<a href="http://dx.doi.org/10.1002/wics.1527">doi:10.1002/wics.1527</a>)</dd>

<!-- Authors: Joe Harry -->
<dt><a name="joe_accuracy_2008">[Joe, 2008]</a></dt><dd>Harry
Joe.
Expand Down Expand Up @@ -1034,6 +1050,18 @@
<cite>Behavioral Ecology</cite>, 24(3):691–697, December 2013.
(<a href="http://dx.doi.org/10.1093/beheco/ars213">doi:10.1093/beheco/ars213</a>)</dd>

<!-- Authors: Knudson Christina and Benson Sydney and Geyer Charles and Jones
Galin -->
<!-- Keywords: computationally intensive methods,generalized linear
models,likelihood,regression,statistical inference,statistical modelling -->
<dt><a name="knudsonLikelihoodbased2021">[Knudson et al.,
2021]</a></dt><dd>Christina Knudson, Sydney
Benson, Charles Geyer, and Galin Jones.
Likelihood-based inference for generalized linear mixed models: Inference
with the R package glmm.
<cite>Stat</cite>, 10(1):e339, 2021.
(<a href="http://dx.doi.org/10.1002/sta4.339">doi:10.1002/sta4.339</a>)</dd>

<!-- Authors: Kéry Marc -->
<dt><a name="kery_introduction_2010">[Kéry,
2010]</a></dt><dd>Marc Kéry.
Expand Down Expand Up @@ -1302,6 +1330,25 @@
<cite>Oecologia</cite>, 169(4):1095–1103, 2012.
(<a href="http://dx.doi.org/10.1007/s00442-012-2275-2">doi:10.1007/s00442-012-2275-2</a>)</dd>

<!-- Authors: Meng Xiao Li -->
<dt><a name="mengDecoding2009">[Meng, 2009]</a></dt><dd>Xiao-Li
Meng.
Decoding the H-likelihood.
<cite>Statistical Science</cite>, 24(3), August 2009.
(<a href="http://dx.doi.org/10.1214/09-STS277C">doi:10.1214/09-STS277C</a>)</dd>

<!-- Authors: Meng Xiao Li -->
<dt><a name="mengWhat2011">[Meng, 2011]</a></dt><dd>Xiao-Li
Meng.
What's the H in H-likelihood: A Holy Grail or an Achilles'
Heel?
In José M. Bernardo, M. J. Bayarri,
James O. Berger, A. P. Dawid,
David Heckerman, Adrian F. M. Smith, and
Mike West, editors, <cite>Bayesian Statistics 9</cite>,
page 0. Oxford University Press, October 2011.
(<a href="http://dx.doi.org/10.1093/acprof:oso/9780199694587.003.0016">doi:10.1093/acprof:oso/9780199694587.003.0016</a>)</dd>

<!-- Authors: Millar Russell B -->
<!-- Keywords: Computers / Mathematical &amp; Statistical Software, Mathematics /
Probability &amp; Statistics / General -->
Expand Down Expand Up @@ -1776,7 +1823,7 @@
A better lemon squeezer? Maximum-likelihood regression with beta-distributed
dependent variables.
<cite>Psychological Methods</cite>, 11(1):54–71, March 2006.
(<a href="http://dx.doi.org/2006-03820-004">doi:2006-03820-004</a>)</dd>
(<a href="http://dx.doi.org/10.1037/1082-989X.11.1.54">doi:10.1037/1082-989X.11.1.54</a>)</dd>

<!-- Authors: Snijders Tom A B and Bosker Roel J -->
<dt><a name="snijders_standard_1993">[Snijders and Bosker,
Expand Down Expand Up @@ -1913,6 +1960,14 @@
February 1997.
(<a href="http://dx.doi.org/10.1016/S0167-9473(96)00047-3">doi:10.1016/S0167-9473(96)00047-3</a>)</dd>

<!-- Authors: Vuong Quang H -->
<dt><a name="vuongLikelihood1989">[Vuong,
1989]</a></dt><dd>Quang H. Vuong.
Likelihood Ratio Tests for Model Selection and Non-Nested
Hypotheses.
<cite>Econometrica</cite>, 57(2):307–333, March 1989.
(<a href="http://dx.doi.org/10.2307/1912557">doi:10.2307/1912557</a>)</dd>

<!-- Authors: Wainer Howard -->
<dt><a name="wainer_visual_2001">[Wainer,
2001]</a></dt><dd>Howard Wainer.
Expand Down Expand Up @@ -1977,6 +2032,15 @@
<cite>The grammar of graphics</cite>.
Springer, New York, 1999.</dd>

<!-- Authors: Wilson Paul -->
<!-- Keywords: Non-nested models,Vuong test,Zero-inflation -->
<dt><a name="wilsonMisuse2015a">[Wilson, 2015]</a></dt><dd>Paul
Wilson.
The misuse of the Vuong test for non-nested models to test for
zero-inflation.
<cite>Economics Letters</cite>, 127:51–53, February 2015.
(<a href="http://dx.doi.org/10.1016/j.econlet.2014.12.029">doi:10.1016/j.econlet.2014.12.029</a>)</dd>

<!-- Authors: Wolfinger Russ and OConnell Michael -->
<dt><a name="wolfinger_generalized_1993">[Wolfinger and O'Connell,
1993]</a></dt><dd>Russ Wolfinger and Michael
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534 changes: 396 additions & 138 deletions notes/multimember.html
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