50f0d260434b165c457a1ce846ec9fb8 *DESCRIPTION
f2659d99d530159b3adca69c6e122c5e *NAMESPACE
a4459ab314364b9209a7c6e7922046e7 *NEWS.md
b06245245d05f87e996bad4cc008064f *R/Fit_Funs.R
0cd93f492312ae4954e89922673539aa *R/Functions.R
54a93fb79de907905026c9c1cfba5e1c *R/methods.R
c7b64b0e706b24ba9ab90255cb953f82 *R/mixed_fit.R
69caf89ba8992d9519525c16eb716321 *R/mixed_model.R
b5d300b82343ee659c33e389cf9fa82d *README.md
13432c278cba8a1e37097ee7c976a988 *build/vignette.rds
17008d2b857fe5713afc1792d4302183 *inst/doc/Custom_Models.R
017f4bcd4198443dd476ee55f3e15089 *inst/doc/Custom_Models.Rmd
b6058971848c1a9e6c55df126f5cb544 *inst/doc/Custom_Models.html
8342b760249d84b95d30aed81a06c2dc *inst/doc/GLMMadaptive_basics.R
cd51c27954c72b70d9bf5115d0646751 *inst/doc/GLMMadaptive_basics.Rmd
5d45fd0d9934b6b4e2a88ca6c26c0960 *inst/doc/GLMMadaptive_basics.html
26e5b4122546ebff6ff93be16ab631b2 *inst/doc/Methods_MixMod.R
55ffb8c280ba859d5531abc145339616 *inst/doc/Methods_MixMod.Rmd
1c67179c9cfc7f37637c6c5c34e0274e *inst/doc/Methods_MixMod.html
01007f62f1c69b8fe104957ed8198f3d *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
3adf57eef58d1c34c58c80cf78433385 *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
