5872e2a6c4079af80f967808ece76cbb *DESCRIPTION
2462aa259729f8e5fc94968a4a9a5436 *NAMESPACE
0d048d493175b0571ff7619bfc522c79 *R/Betadist.R
82c37026130be04dba21d4da479cd757 *R/R6Model.R
d806e77875955b43ad696e5e651eb531 *R/R6covariance.R
550643aeb629ea86c26e04db16c0d176 *R/R6meanfunction.R
c3eb7939b18a593a815ea8349f1aa322 *R/RcppExports.R
0bb7fc4f420c143651774a3c827f2a11 *R/extrafunctions.R
5e389abde8df9ddbd031e9ebd1606ec7 *R/nelder.R
62b867bbb8a30efaf456b35ae4f6c8ca *R/printfunctions.R
cfb37bc80ad93ac3ff26aea45fdfb845 *build/partial.rdb
945b55cf2fc141dfeac022049ea21628 *data/yexample312a.rda
010ab54b438a90131ee1711c97f4d601 *data/yexample312b.rda
29320128771c3b5ecc520b13f13729e9 *data/yexample312c.rda
83e69ebd9bc8d119b584e5e6470a62ec *data/ytest1.rda
9a4179f9e225e54f1af99175ede43972 *inst/include/glmmr.h
6d185e0ce53f09427909a5c372817cd1 *inst/include/glmmr/algo.h
b459a13536b729c607a33610826aee4f *inst/include/glmmr/calculator.hpp
27050149e4821abe8115eb73fe130e10 *inst/include/glmmr/covariance.hpp
226676d6c8bc893330f44ff14b153813 *inst/include/glmmr/family.hpp
59be3867c1a574aeaeb394bfbe1c77c1 *inst/include/glmmr/formula.hpp
89c3cceee4ba57c99ef0adf03caf2573 *inst/include/glmmr/formulaparse.h
d5405fc557eab60994973ab985b6da81 *inst/include/glmmr/general.h
43d4208972ce91ac7fd58b8026311769 *inst/include/glmmr/griddata.hpp
890c8e3257ce28b0d63c47df9a1a8294 *inst/include/glmmr/hsgpcovariance.hpp
d04e8c12a7cdefd707c9547eba08d170 *inst/include/glmmr/instructions.h
9c37716ba92d7a1a06b5cc75aa10a0a7 *inst/include/glmmr/interpreter.h
7a5e540a5b4a3a46f2f87879dbda14e7 *inst/include/glmmr/linearpredictor.hpp
696b89feeaf6c9821d9ce0d5fed5b576 *inst/include/glmmr/maths.h
81b7c6f037ac8a60c54fde671b9080c1 *inst/include/glmmr/matrixfield.h
280445e04cdd86b75f95ebfc55716afa *inst/include/glmmr/matrixw.hpp
79baf496c9a2629633f47826e6276987 *inst/include/glmmr/model.hpp
9627c6fae69411e9dfea542f343985ae *inst/include/glmmr/modelbits.hpp
2419fbdab2c76249aae80e362dbb3733 *inst/include/glmmr/modelextradata.hpp
ec54239bf0ad7131898a91757e46500c *inst/include/glmmr/modelmatrix.hpp
feedfaa6073bc6b37a319e2ab7f35570 *inst/include/glmmr/modelmcmc.hpp
3f6ffa1c18d809daba8c7c47888d8947 *inst/include/glmmr/modeloptim.hpp
59aed0b6d044f98a3af42b97a8f783e4 *inst/include/glmmr/nngpcovariance.hpp
9feb22830ca93fb5df92d6b68c76be51 *inst/include/glmmr/openmpheader.h
c8a37ebeb4443b6316dbe0a08d689875 *inst/include/glmmr/optim/bobyqa_algo.h
7f2cba9529cd0f24a012ee77a7fb1e88 *inst/include/glmmr/optim/bobyqa_general.h
1d423c5229a9e5f79013bb25a662788f *inst/include/glmmr/optim/lbfgs.h
654a285e3fa48bf30968542e13f88266 *inst/include/glmmr/optim/lbfgs/BFGSMat.h
c7e3d7c0ae3cf539560902a0bba47fe9 *inst/include/glmmr/optim/lbfgs/BKLDLT.h
7bc542ebae65f198cc31696e1ee112ed *inst/include/glmmr/optim/lbfgs/Cauchy.h
b998f47218cea0cfa5b600c8affa6081 *inst/include/glmmr/optim/lbfgs/LineSearchBacktracking.h
5e11d707754dc06054349246d4965c21 *inst/include/glmmr/optim/lbfgs/LineSearchBracketing.h
a03b27fae4bfb3bdc6c108283f9fa7ab *inst/include/glmmr/optim/lbfgs/LineSearchMoreThuente.h
35488847d79a40d60d040d9ef6cead29 *inst/include/glmmr/optim/lbfgs/LineSearchNocedalWright.h
d00c7cf76a0838299c9da38395716fe5 *inst/include/glmmr/optim/lbfgs/Param.h
b34ff8806dfc88aaae0c37d9a181772b *inst/include/glmmr/optim/lbfgs/SubspaceMin.h
e10a533cbe83b9cced55a35a375258c9 *inst/include/glmmr/optim/lbfgsb.h
026bd5552ed5ef84ee91462b22be98b5 *inst/include/glmmr/optim/newuoa.h
0860c81c1c183e2914f47a2fadf10a01 *inst/include/glmmr/optim/newuoa_impl.h
db57a50d7cb63ca4847468d61c71c8dd *inst/include/glmmr/optim/optim.h
4242038a2a39e98fdcbb07be4873907b *inst/include/glmmr/randomeffects.hpp
75d70b5f8222dcf1ed64c318035f4c4b *inst/include/glmmr/sparse.h
2ac02033af196352a7b7d7a8681a74d6 *inst/stan/include/license.stan
bb348f41c8cca7d884da5b403f31523a *inst/stan/mcml_bernoulli.stan
b1763954d62e1d300ece41c59cb36e95 *inst/stan/mcml_beta.stan
2b7925ce31cb549e556f12dd904e0d47 *inst/stan/mcml_binomial.stan
73635963bc0a19c3be6ae40d91f90a11 *inst/stan/mcml_gamma.stan
d0ceff29384aac9b5253a140507bedb2 *inst/stan/mcml_gaussian.stan
919a050796f97691ee162ac0e41652f7 *inst/stan/mcml_poisson.stan
d55fb4caabaf6a8b27d276c6156ec462 *man/Beta.Rd
12db242328b2b1ba15e8f580b1ad4d32 *man/Covariance.Rd
5d778b8a82755f8c17e83864e2f1fe8f *man/MeanFunction.Rd
78b5c3deb04ccdffddbc16c645b595b5 *man/Model.Rd
f1484366d67230f928b25ec32316f332 *man/cross_df.Rd
eaaebc7d1b25327b100227d81bf40562 *man/cycles.Rd
626b7ac22b34b483b36f228521964bbc *man/glmmrBase-package.Rd
6faba21bb214f21048655975a3e3f561 *man/match_rows.Rd
bcac818e84bbd5d475208c4db13e73bb *man/mcnr_family.Rd
a778e627b8f69d614ae3fea10a933c68 *man/nelder.Rd
fa4335692e3032c30fd114dcbbae2ee6 *man/nest_df.Rd
007887a487e468ed4795b88b812c3cb4 *man/print.mcml.Rd
12ce82bc289ce88556f3d1f6fe64f5fe *man/progress_bar.Rd
eadfb8c68018ba3c7520093a93952b8a *man/setParallel.Rd
ea339b50989f938f7c16c62fa32318f1 *man/summary.mcml.Rd
88df7a0688f61dada014f10a5288e6bd *man/yexample312a.Rd
c352628317bc8d5e06446bcf9f5cc8df *man/yexample312b.Rd
02321e666cf723c7c9f2d2a3b610493d *man/yexample312c.Rd
030d412b97d10070bfa14d5dbc3e22b3 *man/ytest1.Rd
5ba2f1fc0b2efa9f2d2567dfe3bdf3eb *src/Makevars
e7c8c96e1a25bfe86e9466e19f6720ed *src/Makevars.win
2953bd4ea4db2ca3dd7e7df448401ef5 *src/RcppExports.cpp
4ec45665a18d09b22e65b61251c01626 *src/covariance_module.cpp
0775440f2c5d07f7e5180a8aee810b46 *src/linpred_module.cpp
9abf3061de76762e159f47f3fb249f53 *src/model_module.cpp
79c171d2a56d3284bf60058b42b80260 *src/model_module_2.cpp
9ab5146bb9f5ab67dc13a0ef83c0b0e7 *src/model_module_extension.cpp
417aa01314374adade721c249ba53828 *src/openmp_utils.cpp
1c78a0798b517dd50d0bed77ebc88a2c *src/other_functions.cpp
