ca1431d5eece4e7bf6507c0e6a0167ef *DESCRIPTION
9bd531527d6617a1a9b50561f7f9fd74 *NAMESPACE
b6973810781b1642050d0e0e1e425e82 *NEWS.md
9c8185252148d5d91193884b8078e296 *R/Fit_Funs.R
6c469b3f99e4199c9c5975a8ce92f278 *R/Functions.R
c385010d6232036126ef2be39c9e3588 *R/methods.R
c1d498d27a333a2512786f9e87f3daf5 *R/mixed_fit.R
1d4c737c7b1fa170136fbaa1432cc9a0 *R/mixed_model.R
ad8641f54959973e877e4eb5e7a27c88 *README.md
a36b4e2e38ec8331635bf104b363a5cc *build/vignette.rds
f765648be151aa7107346706cfda643b *inst/doc/Custom_Models.R
017f4bcd4198443dd476ee55f3e15089 *inst/doc/Custom_Models.Rmd
dd1133e42cece46e33bacff675a690fa *inst/doc/Custom_Models.html
d116d8e544891d7e3a018916c02a1372 *inst/doc/GLMMadaptive_basics.R
cd51c27954c72b70d9bf5115d0646751 *inst/doc/GLMMadaptive_basics.Rmd
4d8510bd2b19ef6f2b49f864c234f3ff *inst/doc/GLMMadaptive_basics.html
0b87246311aafe2822eb1ece4ab56e57 *inst/doc/Methods_MixMod.R
55ffb8c280ba859d5531abc145339616 *inst/doc/Methods_MixMod.Rmd
d2a4185b934d24bad33987433658e473 *inst/doc/Methods_MixMod.html
96ec3e97aea923313a31047756414cd2 *man/GLMMadaptive.Rd
b9552bd42f07a89a7235cb2d3469b1ca *man/continuation_ratio.Rd
501725b8faf597a68ad4adab4c9a2358 *man/effectPlotData.Rd
41eb15bc95ca87b5944940d7534da560 *man/extra_fams.Rd
efd3dae4326ce533590e1cf770f3ebf5 *man/figures/logo.png
90eb398e5c779d94aa2fb9c99604a7c6 *man/marginal_coefs.Rd
a4878631b9319e3ffe404a59afbf4942 *man/methods.Rd
5265836e5ceb84891c2fbdf6c0fc6119 *man/mixed_model.Rd
a21f037acd45a7fcafe26635bbfcce89 *man/negative_binomial.Rd
5a6adc099dea1aed88554e5f71a94918 *man/scoring_rules.Rd
017f4bcd4198443dd476ee55f3e15089 *vignettes/Custom_Models.Rmd
cd51c27954c72b70d9bf5115d0646751 *vignettes/GLMMadaptive_basics.Rmd
55ffb8c280ba859d5531abc145339616 *vignettes/Methods_MixMod.Rmd
