aa48967d41d09d5fe58c5b1782eba9f0 *DESCRIPTION
915b253de4e19df2da245c2156643adc *NAMESPACE
0d048d493175b0571ff7619bfc522c79 *R/Betadist.R
6e6b3cc540903bb7ee68dbc567b116d5 *R/R6Model.R
3f7c192edd41add170cda635478e0519 *R/R6covariance.R
1e9c1f5e84bef9c3750bae9423c44cbf *R/R6meanfunction.R
70d33a29f6621964a63b68238e5ef50e *R/RcppExports.R
28b5766fd84e6d2ed99b3505f3d6dbe6 *R/extrafunctions.R
54fa3293d5207cbd9949d8ca3d75fa37 *R/lme4_functions.R
b8c5ef948149f02c5f7cf8cc3a66b6d9 *R/model_s3_functions.R
5e389abde8df9ddbd031e9ebd1606ec7 *R/nelder.R
06c197c6bf45cae28f7b7e85694b4f1d *R/printfunctions.R
23c0fc36c295d531ef891befb05f1a2a *R/quantiledist.R
3b20ef561bfbf59a788e7960ad01e5c1 *R/stanmodels.R
5aa8c41aac6f58027dcbca3e193a6d67 *build/partial.rdb
7e297a31e37e77c201a2bacff2f979eb *configure
845efca43973cdde1a6174faf1d88e99 *configure.win
945b55cf2fc141dfeac022049ea21628 *data/yexample312a.rda
010ab54b438a90131ee1711c97f4d601 *data/yexample312b.rda
29320128771c3b5ecc520b13f13729e9 *data/yexample312c.rda
83e69ebd9bc8d119b584e5e6470a62ec *data/ytest1.rda
eb162d68e3628da70017a7dca3601cfc *inst/cmdstan/mcml_bernoulli.stan
9c071c5c22cfa7486320e7414abb6cd4 *inst/cmdstan/mcml_beta.stan
59bbab1c5bbe5b8d49119c6e6cbb6dc4 *inst/cmdstan/mcml_binomial.stan
0e6224c8dcd06bda02eaf0722690ef4c *inst/cmdstan/mcml_gamma.stan
7be74349b983769d99bb1ac8003bfb2d *inst/cmdstan/mcml_gaussian.stan
127129986da26c56a50dea0846410ea6 *inst/cmdstan/mcml_poisson.stan
b041396332a610366a20d9a062af9c3f *inst/cmdstan/mcml_quantile.stan
eaba02dca20adccace4c846a8acaf95a *inst/include/glmmr.h
fd3e43ad99bdb3ae110a1d59bb7e0d9c *inst/include/glmmr/algo.h
1583f4e28bbfa23e0889422e54295ea4 *inst/include/glmmr/calculator.hpp
06d1fe4aea645b0b8311802bc14731f2 *inst/include/glmmr/covariance.hpp
848a9451a519b11b59a395b08a0b15c1 *inst/include/glmmr/family.hpp
d3f30d7b5b0f60b1433633ba8ae1176a *inst/include/glmmr/formula.hpp
0e6789a3fbc9f272f07068d250e1b806 *inst/include/glmmr/formulaparse.h
e59ce7cd53ae05aa4ae1d795ae4c37a7 *inst/include/glmmr/general.h
43d4208972ce91ac7fd58b8026311769 *inst/include/glmmr/griddata.hpp
01f9ce65abcae2dfbcfefad30cd353d2 *inst/include/glmmr/hsgpcovariance.hpp
48d92a0d941f88638cb5b1011bbfd801 *inst/include/glmmr/instructions.h
f5a61c2f2d3da1214f0477beaac32e07 *inst/include/glmmr/interpreter.h
d0e590851e957657ac406b5401257ab5 *inst/include/glmmr/linearpredictor.hpp
64c7e642268d24cd76a338177930115f *inst/include/glmmr/maths.h
81b7c6f037ac8a60c54fde671b9080c1 *inst/include/glmmr/matrixfield.h
5bdbad745b468dfcf4b132360b6e6d1b *inst/include/glmmr/matrixw.hpp
2edccd9f3f2ace2c899a70470cf63f3a *inst/include/glmmr/model.hpp
09db08b08c5abd39f06d47cd254b7774 *inst/include/glmmr/modelbits.hpp
2419fbdab2c76249aae80e362dbb3733 *inst/include/glmmr/modelextradata.hpp
83dbf71cc711f6fbf58c82137abd4ebc *inst/include/glmmr/modelmatrix.hpp
a4101c1a308f3b2e961f2e36fd061588 *inst/include/glmmr/modelmcmc.hpp
30f70063b71e899c1e2071a760b52608 *inst/include/glmmr/modeloptim.hpp
f78e799a09a8bea82370882462f90744 *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
66c2b300acd9d2bcf28ab66f0cd82e95 *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
b2ecc735b4188907406b6afdb79c4661 *inst/include/glmmr/optim/lbfgsb.h
026bd5552ed5ef84ee91462b22be98b5 *inst/include/glmmr/optim/newuoa.h
0860c81c1c183e2914f47a2fadf10a01 *inst/include/glmmr/optim/newuoa_impl.h
da53c9e8a5ee5813e9197da61f4a184a *inst/include/glmmr/optim/optim.h
3f8af65ef08d491294140101c7a87455 *inst/include/glmmr/randomeffects.hpp
e083ad81e7dbec61fa2591dcbc506b4f *inst/include/glmmr/sparse.h
855c064dbf8deaff96c8dc8a87169109 *inst/include/stan_meta_header.hpp
2ac02033af196352a7b7d7a8681a74d6 *inst/stan/include/license.stan
ce653ecb2176193d5023cef37946baf3 *inst/stan/mcml_bernoulli.stan
407dff0b0ffd04edf4ef9f6898353e4c *inst/stan/mcml_beta.stan
fbe20c94ae59c5e388ea62447ed98b35 *inst/stan/mcml_binomial.stan
7e1e0e9c3ba421fad3e472744168ff12 *inst/stan/mcml_gamma.stan
53f1a65df4a50351e7d81ecc2c99d687 *inst/stan/mcml_gaussian.stan
5d1e164a2c698ebd361c209aa3bc7ab5 *inst/stan/mcml_poisson.stan
b041396332a610366a20d9a062af9c3f *inst/stan/mcml_quantile.stan
d55fb4caabaf6a8b27d276c6156ec462 *man/Beta.Rd
12db242328b2b1ba15e8f580b1ad4d32 *man/Covariance.Rd
5d778b8a82755f8c17e83864e2f1fe8f *man/MeanFunction.Rd
dab66b4e4195a609fa499ba61e4ec091 *man/Model.Rd
abf2a8263c0f63f4c2c99b26907338a7 *man/Quantile.Rd
7908ffc04180a555d288198d93c1f2b8 *man/coef.Model.Rd
82e398be4902a1ce410025f7abea7819 *man/coef.mcml.Rd
e75093241bacd64beb5db924c9017374 *man/confint.mcml.Rd
f1484366d67230f928b25ec32316f332 *man/cross_df.Rd
eaaebc7d1b25327b100227d81bf40562 *man/cycles.Rd
7f18fa1dbb315c4d103cf500b36d3334 *man/family.Model.Rd
a83fc5ad32e2c0301cf0fe3faa7cc201 *man/family.mcml.Rd
cec273784e1539be4f44718e3046d053 *man/fitted.Model.Rd
7e688d6919eb0de639ea0b5d7181c1d3 *man/fitted.mcml.Rd
f5a3bdafb36ab8b59240fb8b3e766e52 *man/fixed.effects.Rd
ec94768f88d38ed4c411343b3391ce96 *man/formula.Model.Rd
856794030df477c79b688fb76a3e3f5b *man/formula.mcml.Rd
319a928a62e0512375f595536b8660fb *man/glmmrBase-package.Rd
95e2c09c7b4e905d5dcbe389a6d3fa57 *man/hessian_from_formula.Rd
2c2dfd31f22e50dcd0420f18d17bbb66 *man/lme4_to_glmmr.Rd
6568dda20857efe7968eb9edef3290d7 *man/logLik.Model.Rd
eee06b654a68e9322b1b165f868bff35 *man/logLik.mcml.Rd
6faba21bb214f21048655975a3e3f561 *man/match_rows.Rd
5ccfbf2cbb0dc508f1cc86cf90a8aa92 *man/mcml_glmer.Rd
27a1047de2890ed950d6451943ee5327 *man/mcml_lmer.Rd
ddc38be4ca68bd6cf18c2988f4916805 *man/mcnr_family.Rd
a778e627b8f69d614ae3fea10a933c68 *man/nelder.Rd
fa4335692e3032c30fd114dcbbae2ee6 *man/nest_df.Rd
653b96d2e7d606fafdf29dd0ec851521 *man/predict.Model.Rd
e58a3c551233836e6acb4e6bba84c5b1 *man/predict.mcml.Rd
007887a487e468ed4795b88b812c3cb4 *man/print.mcml.Rd
12ce82bc289ce88556f3d1f6fe64f5fe *man/progress_bar.Rd
60124794c4276ab0767153235bf6efb9 *man/random.effects.Rd
708c7818214182f558894bad44d1a127 *man/residuals.Model.Rd
1d625e31b09f5acf308a9bf74b63d98f *man/residuals.mcml.Rd
eadfb8c68018ba3c7520093a93952b8a *man/setParallel.Rd
c47b99f406b676305cee28d7fd50ac19 *man/summary.Model.Rd
6c7821cb72efde8f071ee7479a9e12f8 *man/summary.mcml.Rd
1e0f21b6d1d7422b9b6e02718cca3453 *man/vcov.Model.Rd
ba1d18551f6bdb7bda70711bc01d38b9 *man/vcov.mcml.Rd
88df7a0688f61dada014f10a5288e6bd *man/yexample312a.Rd
c352628317bc8d5e06446bcf9f5cc8df *man/yexample312b.Rd
02321e666cf723c7c9f2d2a3b610493d *man/yexample312c.Rd
030d412b97d10070bfa14d5dbc3e22b3 *man/ytest1.Rd
f8a460bdd44bc05a033b9fd8e5301265 *src/Makevars
f64c672f3b373b7c7d4757cfa7d06c5c *src/Makevars.win
aa9eb229345626f8188a4c900c6a1e7e *src/RcppExports.cpp
4ec45665a18d09b22e65b61251c01626 *src/covariance_module.cpp
25a85d53fb523a0a4042aee4c418b879 *src/heckman.cpp
0775440f2c5d07f7e5180a8aee810b46 *src/linpred_module.cpp
bd9a5a903f56977ef35406be73624870 *src/model_module.cpp
4adad4ed3d75f0fe77e014af3ff7f45e *src/model_module_2.cpp
a8708ca4e7d041b351e1bc8bd0432bd4 *src/model_module_extension.cpp
417aa01314374adade721c249ba53828 *src/openmp_utils.cpp
39b02b2f743c83ba3233b26ce3842243 *src/other_functions.cpp
0825b214dcb9e4ada1be983d03185a0a *src/stanExports_mcml_bernoulli.cc
9ab5e649c0041f89dd9035bf6f0505a8 *src/stanExports_mcml_bernoulli.h
7604d1dc8c797bf01c3c377b3daab236 *src/stanExports_mcml_beta.cc
f14c65f8f73c8ff990724582af62089e *src/stanExports_mcml_beta.h
23a0b8e1036c82a4153d55258e0aefb4 *src/stanExports_mcml_binomial.cc
350f155f2cacac6558bbbfe2d626a899 *src/stanExports_mcml_binomial.h
0039ed67a741d8a7ad2b9eaeb3a6ff3a *src/stanExports_mcml_gamma.cc
c25d38d249cd2dfbc6f4a397bd0be6bc *src/stanExports_mcml_gamma.h
9add215703495e8b2d2a491b661aaf33 *src/stanExports_mcml_gaussian.cc
ce33b7081015d2327017f588bc269da5 *src/stanExports_mcml_gaussian.h
b593653b07e37a5d2cb2f8e3d36e8f9b *src/stanExports_mcml_poisson.cc
d0afcf183c4236baf30c6893d1588749 *src/stanExports_mcml_poisson.h
39518f816b7de452d34de1463715171d *src/stanExports_mcml_quantile.cc
889eedb68185d4673473acaf7e9bfda8 *src/stanExports_mcml_quantile.h
