4bd36f04177fb7aa0e05d91e567f2547 *DESCRIPTION
d837f3e588bf4f2d114f8d6ffa67e709 *NAMESPACE
638c7345a88c922c315588428538e1a7 *R/bayesmeta.R
031b755df91f0e671b28d555f1abe10b *R/bmr.R
20c8d3f97d93e2e318a22508275b5a02 *build/partial.rdb
c43c8c9edafcad6c182f8030921bfb06 *build/vignette.rds
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9bd7bb0973c7bf20c043bc3dfd7bb3eb *data/BucherEtAl1997.R
9139dd785ed97882c0f43f8f976d4924 *data/Cochran1954.R
c07c0b0f89b07f045bd8c35f7274b4e5 *data/CrinsEtAl2014.R
fd0892651b77846127060dd562a02990 *data/GoralczykEtAl2011.R
ca6a3b84ff8b4f183bda675bcc5d3931 *data/HinksEtAl2010.R
ae1d7eefd3f4a385b512f635203517a8 *data/KarnerEtAl2014.R
f4cca84331bb7db7a976ec0909af1bef *data/NicholasEtAl2019.R
f0f66a575415e712fb1c5d7859a91791 *data/Peto1980.R
5cfceffe6c418bbb28d3135ba65f446d *data/RobergeEtAl2017.R
f66ed884219bf45de67ad0275daee4a2 *data/Rubin1981.R
077dae95238773c86925e9eec937758b *data/SchmidliEtAl2017.R
b81b64deccf71b1dde5914018135c766 *data/SidikJonkman2007.R
84165a12f47f119df535844244d0f15a *data/SnedecorCochran.R
28869718153699de572ce2822a9a355e *inst/CITATION
b14dd9bf5a80c601e80423f75e842901 *inst/doc/Roever2020-bayesmeta.pdf
0dca79987bb6d1775e5f093627eb7209 *inst/doc/Roever2020-bayesmeta.pdf.asis
17d6b1fc4b48fba54dd85bfd7b49b51b *inst/doc/RoeverFriede2023-UsingBayesmetaForMetaRegression.pdf
31f306707c3920d25127f75a4630823c *inst/doc/RoeverFriede2023-UsingBayesmetaForMetaRegression.pdf.asis
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38789f1ae0289a8a0bdcec5fb6885137 *inst/doc/bayesmeta.Rmd
5da347b5e4b112ee98299fb1ca0268be *inst/doc/bayesmeta.html
83eed4c442f79e2252e8e1aea4d8bcd0 *man/BaetenEtAl2013.Rd
09a2bdb4581b8eaa0c61a232b62dc2d1 *man/BucherEtAl1997.Rd
fe6cc0da4955c289c02546c0f999df2d *man/Cochran1954.Rd
a2c012e90910f5c7b6e20cf07fd983be *man/CrinsEtAl2014.Rd
127e4814b6a3c01ab44e8760b790c6e9 *man/GoralczykEtAl2011.Rd
2711c6075160ce6385de9ec5e184297f *man/HinksEtAl2010.Rd
67fbae8cd110db87504aa2dd4eff6d83 *man/KarnerEtAl2014.Rd
3ebbf77ca9e2e5f383db31dff3f76513 *man/NicholasEtAl2019.Rd
af0d87ac38175f5dd5d9b0d3e057fa5b *man/Peto1980.Rd
47bccd3aa0f62cd87bf4d2d456f22d65 *man/RhodesEtAlPrior.Rd
10f899e8f37f85db813647c0feb9ded4 *man/RobergeEtAl2017.Rd
84906f1e74635e704d3632f2c1ab4f03 *man/Rubin1981.Rd
d27353bba9356691dc14719204ebe13a *man/SchmidliEtAl2017.Rd
f37bffb1541503560875207511f126cb *man/SidikJonkman2007.Rd
41f40fc057709420e753fe7ef9087c0c *man/SnedecorCochran.Rd
aeb1f8e98c1492442aa8c14621befdf8 *man/TurnerEtAlPrior.Rd
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fe49895b2d7b54085e665a2c900b1748 *man/forestplot.escalc.Rd
b924f7eb02b780bb5f929e4ee380a02a *man/funnel.bayesmeta.Rd
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7a987854915cced754a1d0df393f249c *man/normalmixture.Rd
023817f80f8dd6e3ce13ad57aacae1e3 *man/plot.bayesmeta.Rd
040d648adb552c905d103c31b31b874b *man/pppvalue.Rd
a03bb2dc0ce9ba2b13d850d3737b523c *man/summary.bmr.Rd
f9f26a1ff474f7a93e60a7c0f18cb2ac *man/traceplot.bayesmeta.Rd
72be90b1a94d4da119384fc95c438531 *man/uisd.Rd
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0dca79987bb6d1775e5f093627eb7209 *vignettes/Roever2020-bayesmeta.pdf.asis
31f306707c3920d25127f75a4630823c *vignettes/RoeverFriede2023-UsingBayesmetaForMetaRegression.pdf.asis
38789f1ae0289a8a0bdcec5fb6885137 *vignettes/bayesmeta.Rmd
