ac9b563ed368410a77901c98de935a0f *DESCRIPTION
0d91bd669339accfafe710cecea62e2a *NAMESPACE
f2f7f17afffd6e6996cdd2397e4fdbfa *NEWS.md
57717544c60dbfb81aec37ce8418cf9c *R/Fit_Funs.R
6c469b3f99e4199c9c5975a8ce92f278 *R/Functions.R
0687c9cbea587f582477bcc90979e727 *R/methods.R
c1d498d27a333a2512786f9e87f3daf5 *R/mixed_fit.R
0bb406e6304d1fe1f3d24188270ade95 *R/mixed_model.R
d97d354e0bbe44feef55b4ace5fa470b *README.md
8b3f3711b8ba9d1c505a2c781bfed552 *build/vignette.rds
ed445998d76d19189a4503ec45ead715 *inst/doc/Custom_Models.R
5833ffa17a9053ed6cb23493f858bdb9 *inst/doc/Custom_Models.Rmd
d95c7b4a2711fa1d43fe70b67546a7f6 *inst/doc/Custom_Models.html
1c09c100e6bff7897711ef7878a1ae58 *inst/doc/Dynamic_Predictions.R
dba174c1dcd0c3247603e4d302cc81d8 *inst/doc/Dynamic_Predictions.Rmd
7c56c6c52961a97ab687e3a5c6d4f15d *inst/doc/Dynamic_Predictions.html
c709d1135aed7bd2ba16d540ca657d0f *inst/doc/GLMMadaptive.R
0a1bd0092b06080be07e529920c0968d *inst/doc/GLMMadaptive.Rmd
b82a8c5ea515820e02826a7ab15047d6 *inst/doc/GLMMadaptive.html
7c296bb1b9926702031011652011233a *inst/doc/Goodness_of_Fit.R
365e3fa8a28b78956c825c62b015d10a *inst/doc/Goodness_of_Fit.Rmd
6b7525bc58c920453f3c130bfcfea08b *inst/doc/Goodness_of_Fit.html
9676e80a6f9f76ce0f9fa6d9452c5777 *inst/doc/Methods.R
37d6bc39fea6c05a3a597d44bab4b7c8 *inst/doc/Methods.Rmd
c23b4db5d9aa6b84b3e93f3334ec8699 *inst/doc/Methods.html
9ae44c5a8021c16861f8f89cee8cde6d *inst/doc/Multiple_Comparisons.R
54e690d8b876321c4aa7a39dd2489b37 *inst/doc/Multiple_Comparisons.Rmd
a6ee060c6cc85920be836cebd532444b *inst/doc/Multiple_Comparisons.html
9fe61380fef7553c34e8d691c45d1f47 *inst/doc/Optimization.R
f71869f159c8ed4d57dcaae802a74dc0 *inst/doc/Optimization.Rmd
1c9d182ef25ab46ad835ef42cef4f378 *inst/doc/Optimization.html
cf80374e2fc957077fb27b5905a34028 *inst/doc/Ordinal_Mixed_Models.R
d2408c3aa9969e488804536fec1ac6b1 *inst/doc/Ordinal_Mixed_Models.Rmd
3e04edb0a804647090401e50d0dbb047 *inst/doc/Ordinal_Mixed_Models.html
77e681efe8c248f1e191822b65fd879a *inst/doc/ZeroInflated_and_TwoPart_Models.R
e9c64fbfe5926a332a86510abc5fcf56 *inst/doc/ZeroInflated_and_TwoPart_Models.Rmd
cda67419532443f91c099e3ffb476fce *inst/doc/ZeroInflated_and_TwoPart_Models.html
e33f324be42b3657ad19ca7a238a7b08 *man/GLMMadaptive.Rd
b9552bd42f07a89a7235cb2d3469b1ca *man/continuation_ratio.Rd
501725b8faf597a68ad4adab4c9a2358 *man/effectPlotData.Rd
6cffcbc8f0f953944ba5a0d9c8e8c670 *man/extra_fams.Rd
efd3dae4326ce533590e1cf770f3ebf5 *man/figures/logo.png
90eb398e5c779d94aa2fb9c99604a7c6 *man/marginal_coefs.Rd
a4878631b9319e3ffe404a59afbf4942 *man/methods.Rd
9d897bef658d90cb0ad38e4e648d6565 *man/mixed_model.Rd
a21f037acd45a7fcafe26635bbfcce89 *man/negative_binomial.Rd
5a6adc099dea1aed88554e5f71a94918 *man/scoring_rules.Rd
5833ffa17a9053ed6cb23493f858bdb9 *vignettes/Custom_Models.Rmd
dba174c1dcd0c3247603e4d302cc81d8 *vignettes/Dynamic_Predictions.Rmd
0a1bd0092b06080be07e529920c0968d *vignettes/GLMMadaptive.Rmd
365e3fa8a28b78956c825c62b015d10a *vignettes/Goodness_of_Fit.Rmd
37d6bc39fea6c05a3a597d44bab4b7c8 *vignettes/Methods.Rmd
54e690d8b876321c4aa7a39dd2489b37 *vignettes/Multiple_Comparisons.Rmd
f71869f159c8ed4d57dcaae802a74dc0 *vignettes/Optimization.Rmd
d2408c3aa9969e488804536fec1ac6b1 *vignettes/Ordinal_Mixed_Models.Rmd
e9c64fbfe5926a332a86510abc5fcf56 *vignettes/ZeroInflated_and_TwoPart_Models.Rmd
