ff3c758e39ffff7afff1edf924b9b810 *DESCRIPTION
915b253de4e19df2da245c2156643adc *NAMESPACE
0d048d493175b0571ff7619bfc522c79 *R/Betadist.R
d5b224c8e10fc8126168952c1c8a4b06 *R/R6Model.R
2e775903054dabe038d3bdd77fa8ef0e *R/R6covariance.R
bf05376bbbfaf75a7360bfa89008d44a *R/R6meanfunction.R
eba6d6b160c5daad15806f16fbe7d9ce *R/RcppExports.R
dafc64563dee5dac7d2a5cbf6cd78f12 *R/extrafunctions.R
94e8c931b5c5aaff79646a1d1afc209c *R/lme4_functions.R
b8c5ef948149f02c5f7cf8cc3a66b6d9 *R/model_s3_functions.R
5e389abde8df9ddbd031e9ebd1606ec7 *R/nelder.R
bd4287bd989d8e3511a0035abd87b3a5 *R/printfunctions.R
23c0fc36c295d531ef891befb05f1a2a *R/quantiledist.R
3b20ef561bfbf59a788e7960ad01e5c1 *R/stanmodels.R
76d8ff12e1e6b2e515961ea707f6b2a5 *README.md
2db6f05017e247faddc679075ba0217e *build/partial.rdb
7e297a31e37e77c201a2bacff2f979eb *configure
845efca43973cdde1a6174faf1d88e99 *configure.win
207f0bfae6393e3a185e8c61ae7526b2 *data/Salamanders.rda
0d6638fede562bd7ebf61e34253199b3 *data/SimGeospat.rda
d0b0353a56cd257720885281d7dd96c1 *data/SimTrial.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
174401a2ebd38e5eec7e3fb6ae09e0f3 *inst/include/glmmr/covariance.hpp
848a9451a519b11b59a395b08a0b15c1 *inst/include/glmmr/family.hpp
ddbf937235b7b6342cd9c86b8e12517c *inst/include/glmmr/formula.hpp
0e6789a3fbc9f272f07068d250e1b806 *inst/include/glmmr/formulaparse.h
ec78c20837bc7530dd2767ad4a81b9dc *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
4ca42d7195fa42fc41e7dd42202e4f2b *inst/include/glmmr/linearpredictor.hpp
64c7e642268d24cd76a338177930115f *inst/include/glmmr/maths.h
2c14608404e54bdcc2f530136d353235 *inst/include/glmmr/matrixfield.h
5bdbad745b468dfcf4b132360b6e6d1b *inst/include/glmmr/matrixw.hpp
1b47ff0ef7e25755f7e2ae4f10d3eafe *inst/include/glmmr/model.hpp
c3c6a2533ecdf7da56a92b00794e09c9 *inst/include/glmmr/modelbits.hpp
2419fbdab2c76249aae80e362dbb3733 *inst/include/glmmr/modelextradata.hpp
757c29768cbc49793b75dac0c8e5f1c3 *inst/include/glmmr/modelmatrix.hpp
a4101c1a308f3b2e961f2e36fd061588 *inst/include/glmmr/modelmcmc.hpp
5f1fc2a16a9a1848332d412e498c94ce *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
db147c6285de88a4f90cffa8bfb8938e *man/Beta.Rd
12db242328b2b1ba15e8f580b1ad4d32 *man/Covariance.Rd
ec59cfee00e92e306928768b647acb05 *man/MeanFunction.Rd
650c519b889861a6d12fc82281bb7381 *man/Model.Rd
abf2a8263c0f63f4c2c99b26907338a7 *man/Quantile.Rd
002e99cf9dbe93c84a0d22533ffa14f0 *man/Salamanders.Rd
6463bf8665b6e18534cbfeeb4533133f *man/SimGeospat.Rd
903125df25988abae51c553780f3f6d1 *man/SimTrial.Rd
f6d06d6f273e546b80c3de336d8f9408 *man/coef.Model.Rd
0732f1dc7044e39e96a9a450f5954af6 *man/coef.mcml.Rd
db5a9e44a93f2f44aecea53db0360638 *man/confint.mcml.Rd
f1484366d67230f928b25ec32316f332 *man/cross_df.Rd
eaaebc7d1b25327b100227d81bf40562 *man/cycles.Rd
b22286d99d95e0b02eecbac35e309e49 *man/family.Model.Rd
c76e5ae0b361231370c475f622fb16bf *man/family.mcml.Rd
d9f704d080d7a8bc37f73464c72acec8 *man/fitted.Model.Rd
a49e66548db922b5cc1741e1b79eb17c *man/fitted.mcml.Rd
246a05d4c8d88a414c34f166d22a9d25 *man/fixed.effects.Rd
4b02bb293976352ed46f6ec86746bd8a *man/formula.Model.Rd
c81126a9de798ba6a8fdd1956c85812d *man/formula.mcml.Rd
319a928a62e0512375f595536b8660fb *man/glmmrBase-package.Rd
95e2c09c7b4e905d5dcbe389a6d3fa57 *man/hessian_from_formula.Rd
acdc3ff6a4eb67050d37567fcd1ef3cf *man/lme4_to_glmmr.Rd
0870c642fc151a0593f2cb42132ffe4b *man/logLik.Model.Rd
fba01b599ca0a8a50f6db03d13b0a966 *man/logLik.mcml.Rd
6faba21bb214f21048655975a3e3f561 *man/match_rows.Rd
b7640c22c9e2e49185248c9c953ab3b5 *man/mcml_glmer.Rd
756f20748b9c29d10d142c4846c00038 *man/mcml_lmer.Rd
ddc38be4ca68bd6cf18c2988f4916805 *man/mcnr_family.Rd
a778e627b8f69d614ae3fea10a933c68 *man/nelder.Rd
fa4335692e3032c30fd114dcbbae2ee6 *man/nest_df.Rd
14009b18fba04d00b1cedc5610f3cdb5 *man/predict.Model.Rd
61d14bec57a5312e183f5450d7dad89d *man/predict.mcml.Rd
007887a487e468ed4795b88b812c3cb4 *man/print.mcml.Rd
12ce82bc289ce88556f3d1f6fe64f5fe *man/progress_bar.Rd
43986cf4b2ccffbfe3f4806793f86ef6 *man/random.effects.Rd
e9d34147e85ddf8ec8f0d576a34df3e6 *man/residuals.Model.Rd
cf4361d05c05e9ccb92a8c30406c59cf *man/residuals.mcml.Rd
9002a8fc8b4745d73923ca760ed19997 *man/setParallel.Rd
9e882cc1c07be729562173210ae155b6 *man/summary.Model.Rd
6c7821cb72efde8f071ee7479a9e12f8 *man/summary.mcml.Rd
9e95caeb4eaa23283ad4c89620532e54 *man/vcov.Model.Rd
ac5a5e311702629b731253f93724815f *man/vcov.mcml.Rd
f8a460bdd44bc05a033b9fd8e5301265 *src/Makevars
f64c672f3b373b7c7d4757cfa7d06c5c *src/Makevars.win
d2abbeb076e7dbd3317d53fe0901033c *src/RcppExports.cpp
ba75daf056b617ac2cf9bb00689f43f9 *src/covariance_module.cpp
0775440f2c5d07f7e5180a8aee810b46 *src/linpred_module.cpp
0b38b724ba75b37f7c3b727349ce07f5 *src/model_module.cpp
df0cad27d0138c78f29632d997cc1ffe *src/model_module_2.cpp
eeb64ef4cfd76822ce57600df26d1b9e *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
