50bad23b7be0c8503b3e222d1a1dca99 *DESCRIPTION
7de6d22caddbf34dca368fc2d8570a04 *NAMESPACE
3ca3d2d268e067762b01cb568c48f1b6 *NEWS.md
3427fc6d0ed88d0613dfbf6cfc248b9e *R/Fit_Funs.R
c3eaad11e23f2069192ab2743bb53509 *R/Functions.R
2eb32ec2e8df38fc336d81d1876e7130 *R/methods.R
7fe279f5f971ff359bddcee40d80d5fd *R/mixed_fit.R
a7cbb8b638dab22a2b85463a86871322 *R/mixed_model.R
8040af1a5167bc6e2daf168a2f97c794 *README.md
87c9ffa05daed219255a2fa65d32f5d8 *build/vignette.rds
c1d063a09a06696cb058b8a9d533b83b *inst/doc/Custom_Models.R
3427beaed25280191ef5e99972b9797e *inst/doc/Custom_Models.Rmd
776ee86db6e720b233f91790a4f3d9dd *inst/doc/Custom_Models.html
52146ccc0722e4e2d19486cbf6d366ec *inst/doc/Dynamic_Predictions.R
e49650302a7c406f88f41acdd3563beb *inst/doc/Dynamic_Predictions.Rmd
9102d1777b6c8b385f459c77338ee844 *inst/doc/Dynamic_Predictions.html
2d306cbeba217c3032ea61876c1bb25d *inst/doc/GLMMadaptive_basics.R
413f7e09cfb0401eba93bddb238e25a3 *inst/doc/GLMMadaptive_basics.Rmd
95113ac9837c85dd91dc42ca4e65cda9 *inst/doc/GLMMadaptive_basics.html
ec01951ac13a56fb3f8a0fdfc0ed6007 *inst/doc/Methods_MixMod.R
f5a1bedfd000b0650832708a759396ae *inst/doc/Methods_MixMod.Rmd
44d15aeae5acf64483d427ef94bac77a *inst/doc/Methods_MixMod.html
2670d5084a476c34f879745a3e961642 *inst/doc/Multiple_Comparisons.R
95884a6286f2777583d109a153b9341d *inst/doc/Multiple_Comparisons.Rmd
22772ef4ff7855968ab0853fa2676155 *inst/doc/Multiple_Comparisons.html
53a152a3cca98191666ab77ff922aa30 *inst/doc/ZeroInflated_and_TwoPart_Models.R
8b49f31ffc769ffd7edf846a13c3cc4e *inst/doc/ZeroInflated_and_TwoPart_Models.Rmd
1036d42ead1692c1231c8b4d80c20060 *inst/doc/ZeroInflated_and_TwoPart_Models.html
b7f42b06b47b3baaa703100b689d593f *man/GLMMadaptive.Rd
5d84e2a03edec1b43a1ca9800a3fecd5 *man/effectPlotData.Rd
5bfb44c38f91294b55798ae5242cc4dd *man/extra_fams.Rd
b8fe0f9152c64819a5052a22ca6f0b9c *man/figures/logo.png
07b54766d6480d4eb8b2dea6be094675 *man/marginal_coefs.Rd
1724a0c51c837ad8a05ca01edc7b6c8e *man/methods.Rd
0db194c13e64690b8dc9a6e798b17722 *man/mixed_model.Rd
46760e9d90ab54b5f1f335780a0d4f48 *man/negative_binomial.Rd
5a6adc099dea1aed88554e5f71a94918 *man/scoring_rules.Rd
3427beaed25280191ef5e99972b9797e *vignettes/Custom_Models.Rmd
e49650302a7c406f88f41acdd3563beb *vignettes/Dynamic_Predictions.Rmd
413f7e09cfb0401eba93bddb238e25a3 *vignettes/GLMMadaptive_basics.Rmd
f5a1bedfd000b0650832708a759396ae *vignettes/Methods_MixMod.Rmd
95884a6286f2777583d109a153b9341d *vignettes/Multiple_Comparisons.Rmd
8b49f31ffc769ffd7edf846a13c3cc4e *vignettes/ZeroInflated_and_TwoPart_Models.Rmd
