78a828a14e54f91ed599b2e07f4177c3 *DESCRIPTION
22d9ec43467391205bbd346f4907e352 *NAMESPACE
b6973810781b1642050d0e0e1e425e82 *NEWS.md
63a586484f315c758d8a94942d9ce3ac *R/Fit_Funs.R
6c469b3f99e4199c9c5975a8ce92f278 *R/Functions.R
f8244cc9043924f1368f513cb4e32342 *R/methods.R
ccada812883cd8466f2dff94a2924b96 *R/mixed_fit.R
38e9b53c98b852b3b7884832e1a14921 *R/mixed_model.R
b5d300b82343ee659c33e389cf9fa82d *README.md
ab36e47cebe15c5d6f2f7a45033127bb *build/vignette.rds
17008d2b857fe5713afc1792d4302183 *inst/doc/Custom_Models.R
017f4bcd4198443dd476ee55f3e15089 *inst/doc/Custom_Models.Rmd
985222c0e6992a653a28b42751735a67 *inst/doc/Custom_Models.html
8342b760249d84b95d30aed81a06c2dc *inst/doc/GLMMadaptive_basics.R
cd51c27954c72b70d9bf5115d0646751 *inst/doc/GLMMadaptive_basics.Rmd
d9e27995ea353f8435d8983a0b3629aa *inst/doc/GLMMadaptive_basics.html
26e5b4122546ebff6ff93be16ab631b2 *inst/doc/Methods_MixMod.R
55ffb8c280ba859d5531abc145339616 *inst/doc/Methods_MixMod.Rmd
1105567a2daec2059d5ab5035767ce82 *inst/doc/Methods_MixMod.html
152d3385591280a07edebdee576c25f0 *man/GLMMadaptive.Rd
b9552bd42f07a89a7235cb2d3469b1ca *man/continuation_ratio.Rd
be56c09379783f3a85bf5673de682435 *man/effectPlotData.Rd
f7b52d288b973024213b0e320c0328bb *man/extra_fams.Rd
efd3dae4326ce533590e1cf770f3ebf5 *man/figures/logo.png
07b54766d6480d4eb8b2dea6be094675 *man/marginal_coefs.Rd
08eac19ebadc87506441f3c7a9524195 *man/methods.Rd
e57b5fbc078e3f46c00ee36f59adf0ba *man/mixed_model.Rd
46760e9d90ab54b5f1f335780a0d4f48 *man/negative_binomial.Rd
5a6adc099dea1aed88554e5f71a94918 *man/scoring_rules.Rd
017f4bcd4198443dd476ee55f3e15089 *vignettes/Custom_Models.Rmd
cd51c27954c72b70d9bf5115d0646751 *vignettes/GLMMadaptive_basics.Rmd
55ffb8c280ba859d5531abc145339616 *vignettes/Methods_MixMod.Rmd
