269430d04690980cbe389d913f7ad36a *DESCRIPTION
525c16c6a66c2493ce3f04db0241baf9 *NAMESPACE
b777d67cf4036d63e0c8fa20de97316e *NEWS.md
9ef0e5fbafa32c51492028873bc778a1 *R/Fit_Funs.R
5ffce21625841eda89b89612f6eae305 *R/Functions.R
f1070fe097fd0eecb4d80e0d32fb7393 *R/methods.R
864800190615fabcf7dc07a4caadf4ef *R/mixed_fit.R
d4b4e3c430a13e084eb904f0faa4b16f *R/mixed_model.R
ae495963dc798fa827159c34bff62ca2 *README.md
6c53aab121340153bfe849116c1d41e6 *build/vignette.rds
17008d2b857fe5713afc1792d4302183 *inst/doc/Custom_Models.R
017f4bcd4198443dd476ee55f3e15089 *inst/doc/Custom_Models.Rmd
a1284e9ebe294c7cae0a027a34a33c66 *inst/doc/Custom_Models.html
52146ccc0722e4e2d19486cbf6d366ec *inst/doc/Dynamic_Predictions.R
e49650302a7c406f88f41acdd3563beb *inst/doc/Dynamic_Predictions.Rmd
5145e1826da84b2e1fca38049cb1fd9f *inst/doc/Dynamic_Predictions.html
b3df6ffc00a5c988227ffada0a9072f4 *inst/doc/GLMMadaptive_basics.R
8420aacbbc56edd1d6dad8fef3fa98de *inst/doc/GLMMadaptive_basics.Rmd
8c7f1063b635b57e0ac825236a46de39 *inst/doc/GLMMadaptive_basics.html
960efe3dea455742f2f28ed65dc84efb *inst/doc/Goodness_of_Fit.R
4ab471661b0909ab145f0b6e5efbe356 *inst/doc/Goodness_of_Fit.Rmd
5e06766e2653ac75e321f13adc8fff5d *inst/doc/Goodness_of_Fit.html
2121b8b3d851253df0dcd74d185547dc *inst/doc/Methods_MixMod.R
08bb545704e917a84c4ef9c273f321e4 *inst/doc/Methods_MixMod.Rmd
3a9b27456681ea28e2ddc082f9b6db33 *inst/doc/Methods_MixMod.html
2670d5084a476c34f879745a3e961642 *inst/doc/Multiple_Comparisons.R
34589130cf1f451a8628f3658a8159e5 *inst/doc/Multiple_Comparisons.Rmd
2cff6ce1b12392a6748d57bb783a0e34 *inst/doc/Multiple_Comparisons.html
df839ed76a8c876197128d4cbd22b750 *inst/doc/Optimization.R
c7cda86f12d5628a67a5ebef7c085cd1 *inst/doc/Optimization.Rmd
6e178ea0c873a414e2d383ce832db989 *inst/doc/Optimization.html
cb0c4f2195ba0a56a322d7bed0cb8eac *inst/doc/ZeroInflated_and_TwoPart_Models.R
6102d80a1d6515decfee2b1d1da8af11 *inst/doc/ZeroInflated_and_TwoPart_Models.Rmd
aca2e777e7f5f1e824eb57dc65afb651 *inst/doc/ZeroInflated_and_TwoPart_Models.html
c63fcd1ea61a9dbbcf96f466aaa2b0f9 *man/GLMMadaptive.Rd
1cfb080059833dd6b3610c80c082776f *man/effectPlotData.Rd
4bc853701da462658025d5b124f6a1b6 *man/extra_fams.Rd
b8fe0f9152c64819a5052a22ca6f0b9c *man/figures/logo.png
07b54766d6480d4eb8b2dea6be094675 *man/marginal_coefs.Rd
4b02283a265567c5848d4ab5717f2e22 *man/methods.Rd
3adf57eef58d1c34c58c80cf78433385 *man/mixed_model.Rd
46760e9d90ab54b5f1f335780a0d4f48 *man/negative_binomial.Rd
5a6adc099dea1aed88554e5f71a94918 *man/scoring_rules.Rd
017f4bcd4198443dd476ee55f3e15089 *vignettes/Custom_Models.Rmd
e49650302a7c406f88f41acdd3563beb *vignettes/Dynamic_Predictions.Rmd
8420aacbbc56edd1d6dad8fef3fa98de *vignettes/GLMMadaptive_basics.Rmd
4ab471661b0909ab145f0b6e5efbe356 *vignettes/Goodness_of_Fit.Rmd
08bb545704e917a84c4ef9c273f321e4 *vignettes/Methods_MixMod.Rmd
34589130cf1f451a8628f3658a8159e5 *vignettes/Multiple_Comparisons.Rmd
c7cda86f12d5628a67a5ebef7c085cd1 *vignettes/Optimization.Rmd
6102d80a1d6515decfee2b1d1da8af11 *vignettes/ZeroInflated_and_TwoPart_Models.Rmd
