64b31d559911d101fcdec53177164642 *DESCRIPTION
90cb69f356fa70b973c3f6ba19223960 *NAMESPACE
ca90790309c9c0bf230086d981ec6a2d *R/Betadist.R
6a015e1178ed892468f4126f51757e37 *R/R6Model.R
a1e4188564b520e173d83365f8d97ede *R/R6covariance.R
bf05376bbbfaf75a7360bfa89008d44a *R/R6meanfunction.R
9bd3fb57c8a52c41522411512aed178d *R/RcppExports.R
2a2744371fec7003cdbd34fbce2c5154 *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
b7eaf369879912bc9c59ab0996882406 *build/partial.rdb
207f0bfae6393e3a185e8c61ae7526b2 *data/Salamanders.rda
0d6638fede562bd7ebf61e34253199b3 *data/SimGeospat.rda
d0b0353a56cd257720885281d7dd96c1 *data/SimTrial.rda
01f5fffee571a1fbea6543622e6af288 *inst/include/glmmr.h
3429220d07ea0d14ec3ee0d0a6082bff *inst/include/glmmr/algo.h
3594979c7a3c074dc957219b9d68c6bf *inst/include/glmmr/ar1covariance.hpp
72e1921ee33cb73a00243014e37e64c9 *inst/include/glmmr/calculator.hpp
8107a58b14fdc035dd4dc6f0978bc469 *inst/include/glmmr/covariance.hpp
0e8c4e7785387e920c00c37a3bc2bd4f *inst/include/glmmr/family.hpp
2df523d81729406a9874a4b0c3a11d62 *inst/include/glmmr/formula.hpp
eda836099fbcfc28d332a35f3db59125 *inst/include/glmmr/formulaparse.h
bf5c17e3fd7232fb6a6e380f2d6286e6 *inst/include/glmmr/general.h
1e0b3bfac886c70b6701d00d091c81e4 *inst/include/glmmr/griddata.hpp
7edcc84e6705a8d124bbb6c4ef81a05f *inst/include/glmmr/hsgpcovariance.hpp
48d92a0d941f88638cb5b1011bbfd801 *inst/include/glmmr/instructions.h
931bf97e7a42721fce5301e2bead5b6e *inst/include/glmmr/interpreter.h
9f16341d65828d78815e5e24d294e1da *inst/include/glmmr/linearpredictor.hpp
08c5c95c51888c43bad8aec298345ee7 *inst/include/glmmr/maths.h
0c2ea751785ae43e713f1039ff0d8a83 *inst/include/glmmr/matrixfield.h
66372ab76541bf0b7a66b93028d2ba91 *inst/include/glmmr/matrixw.hpp
dde15b58aa5c5acbb4d06f0a724e0c0c *inst/include/glmmr/model.hpp
3c3696d2d90b6f866d2fa0d2f3c3e015 *inst/include/glmmr/modelbits.hpp
2419fbdab2c76249aae80e362dbb3733 *inst/include/glmmr/modelextradata.hpp
ff72735670628670fe3ff4fdf4883e60 *inst/include/glmmr/modelmatrix.hpp
cdbe1a19ae554d929906c6535d70df88 *inst/include/glmmr/modeloptim.hpp
6e896ddccad70548478ce22dd8328cea *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
026bd5552ed5ef84ee91462b22be98b5 *inst/include/glmmr/optim/newuoa.h
0860c81c1c183e2914f47a2fadf10a01 *inst/include/glmmr/optim/newuoa_impl.h
c484c39dcfc3a0778e04d41c4bd4e783 *inst/include/glmmr/optim/optim.h
c9dca48617534cbc074684e7199a6e0f *inst/include/glmmr/randomeffects.hpp
63de4fe1e1a07ef1af5f22af7b2707ed *inst/include/glmmr/spdecovariance.hpp
d55fb4caabaf6a8b27d276c6156ec462 *man/Beta.Rd
7dd9424c2aa8acde6c2ba0e0ff021357 *man/Covariance.Rd
ec59cfee00e92e306928768b647acb05 *man/MeanFunction.Rd
332d0d68e2ee258f73c79acd2589b2ff *man/Model.Rd
abf2a8263c0f63f4c2c99b26907338a7 *man/Quantile.Rd
34b2c7aad3328804ad8dacab0141e56c *man/Salamanders.Rd
f253d04a6e1b049778b184ffbdf00e42 *man/SimGeospat.Rd
8e582226b2353de4cf1d1256b9fe89a1 *man/SimTrial.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
8ad42734d6b92cd7f48d901b5c86c0a7 *man/exponential.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
5c893a5b87197a027d52fe83dc20d096 *man/hsgp_rescale.Rd
2c2dfd31f22e50dcd0420f18d17bbb66 *man/lme4_to_glmmr.Rd
6568dda20857efe7968eb9edef3290d7 *man/logLik.Model.Rd
eee06b654a68e9322b1b165f868bff35 *man/logLik.mcml.Rd
6faba21bb214f21048655975a3e3f561 *man/match_rows.Rd
b7640c22c9e2e49185248c9c953ab3b5 *man/mcml_glmer.Rd
27a1047de2890ed950d6451943ee5327 *man/mcml_lmer.Rd
ddc38be4ca68bd6cf18c2988f4916805 *man/mcnr_family.Rd
61e18acb6e8088b682f1e8c3e168c959 *man/mesh_helper.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
7135d59bdd2ad97739148f1c4a634163 *src/Makevars
8f97e35c6e313c4089117824ef6fb33b *src/Makevars.win
87f215993783dea38867ea4ee187b267 *src/RcppExports.cpp
97bc3f9c403ae58a53ec9d5d2b367a10 *src/model_module.cpp
