023ff4788613f264d4721d80fc977214 *DESCRIPTION
2a368b358cac8827b57809d10dd15e0c *NAMESPACE
dd236578836760eb64318ce35849c456 *R/Betadist.R
718342ab9f27db41760931a61a835cb0 *R/R6Model.R
a01cb8ce6fb7eee3ab8bc3c1ff34fae1 *R/R6covariance.R
3b4d5046c4c6cebc0d689d581f495478 *R/R6meanfunction.R
54de604f760671087eb68ce1e051e4ab *R/RcppExports.R
af1c6c960427eea086df1d0733a2c7db *R/extrafunctions.R
5e389abde8df9ddbd031e9ebd1606ec7 *R/nelder.R
e5ecbc0df83b30c2f06fef262f673cf0 *R/parallel_crt.R
f036a60493cda622479266f1658d4685 *R/printfunctions.R
8609b761769287b65488e20d7e57a986 *R/staircase_crt.R
43f8132821ad1c5053bab25b5b8263db *R/steppedwedge.R
e8e626a69673edbd09b09e064cf71066 *README.md
605d2f65cc0cdc8ea500766522756e0e *build/partial.rdb
945b55cf2fc141dfeac022049ea21628 *data/yexample312a.rda
010ab54b438a90131ee1711c97f4d601 *data/yexample312b.rda
29320128771c3b5ecc520b13f13729e9 *data/yexample312c.rda
83e69ebd9bc8d119b584e5e6470a62ec *data/ytest1.rda
408e67693a5dd9dd1d78f7c742d2a107 *inst/include/glmmr.h
0b070fd9985e0aa78ae26e86fe0a4fde *inst/include/glmmr/algo.h
3c632693b81356472320d042292747a5 *inst/include/glmmr/covariance.hpp
34a35a36ebc89ba6f240a1af63ec9d52 *inst/include/glmmr/covariance.ipp
4201e9afa694da1e4e7323ab47c7315d *inst/include/glmmr/formula.hpp
2582c835a6b1e0bb067b70f43c87e6c0 *inst/include/glmmr/formula.ipp
8d84eb41afac723a9850ec8a816a5bc7 *inst/include/glmmr/general.h
3dd068040365ae123d0872a4fc6ab41b *inst/include/glmmr/interpreter.h
00ea9ca4a64c087c68e049ecf73949ee *inst/include/glmmr/likelihood.ipp
bc47616675b8f570801648e503026f88 *inst/include/glmmr/linearpredictor.hpp
6f571b8634cadbe9491d1000809cd697 *inst/include/glmmr/maths.h
b8641d872eab4260070898740e88055c *inst/include/glmmr/mhmcmc.ipp
48bdd2c62d214ce9362329563dae20dc *inst/include/glmmr/model.hpp
fba7d2b881ef281ca9fb1f390e6d4083 *inst/include/glmmr/model.ipp
7b7562aa5a3b3444ba19152657f06a02 *inst/include/glmmr/openmpheader.h
f7d0d16b47eaf524d06bf2e16cb66ad2 *inst/include/glmmr/sparse.h
2ac02033af196352a7b7d7a8681a74d6 *inst/stan/include/license.stan
2326d76035aa430311488a60cf3f5dc6 *inst/stan/mcml_binomial.stan
027ed948b8bddf513a4d0b96c6a359f3 *inst/stan/mcml_gaussian.stan
2ee2f98b6463de2f31fc38b56ee53d79 *inst/stan/mcml_poisson.stan
d55fb4caabaf6a8b27d276c6156ec462 *man/Beta.Rd
2570e999bd5ba3cdd4a36c9d8073d639 *man/Covariance.Rd
7e62dd350175e5cc4273c0cdee2add81 *man/MeanFunction.Rd
4bd81e8a8965ee268178a2508ec905a9 *man/Model.Rd
f1484366d67230f928b25ec32316f332 *man/cross_df.Rd
eaaebc7d1b25327b100227d81bf40562 *man/cycles.Rd
626b7ac22b34b483b36f228521964bbc *man/glmmrBase-package.Rd
6faba21bb214f21048655975a3e3f561 *man/match_rows.Rd
b990d0584eb327add0cc82a4e66fd1ac *man/mcnr_family.Rd
a778e627b8f69d614ae3fea10a933c68 *man/nelder.Rd
fa4335692e3032c30fd114dcbbae2ee6 *man/nest_df.Rd
71861a8b9057f9f057f701ab220335fc *man/parallel_crt.Rd
532090d0fc03714b370534b6354dd0d7 *man/print.mcml.Rd
12ce82bc289ce88556f3d1f6fe64f5fe *man/progress_bar.Rd
a57d1618fb42267f85776c562920e4e6 *man/staircase_crt.Rd
b12a8a9e18b2f8c51577a72cf9ec5ca2 *man/stepped_wedge.Rd
50729ca7a34691027cffb146b49e07ec *man/summary.mcml.Rd
3e5eb70a66f95bfb33cb9a30f2bf0aa5 *man/yexample312a.Rd
e26f7d4c9336258628671437c89838f4 *man/yexample312b.Rd
4a10519b37f44238d506fda3a31216e1 *man/yexample312c.Rd
030d412b97d10070bfa14d5dbc3e22b3 *man/ytest1.Rd
fdb00c45d1663610454fb7dfba5b55ed *src/Makevars
1e9aff652c42d5ad285067e1eedcc0a2 *src/Makevars.win
1c01e680496385510b4433c888b40916 *src/RcppExports.cpp
d1a29b44fa77c01b6736d76fa0856d4e *src/covariance_module.cpp
7687b029694df0a6479a5bfb06dc1384 *src/gen_d.cpp
81afd082d7e5cb530471bae8d57498cc *src/model_module.cpp
7f37ec20a1d24f7f40b91d82d57931ba *tests/testthat.R
00cfbb788627cc53f2a291c1ce17abd1 *tests/testthat/test-covariance.R
ef4d4e693a121efd0abbd3030b0ed2b3 *tests/testthat/test-model.R
