634fe39bfffd25e0122fbaf75c4fd8cf *DESCRIPTION
791ab0e4b90ae0bf9ddeb3d58c519446 *NAMESPACE
745dbc885333c7732a845bfd9230a3e7 *NEWS.md
8d2f3ccc160a956831aed95a2c5ee5e7 *R/01_utility.R
0bb36392a17c95a2770e2af780719e50 *R/02_model_fit.R
f79f130a5a5c74d2322c44b8a5504494 *R/03_post_fit.R
998500030149cee4018a2c3556f1017e *R/data.R
66f4c71b3d4c1e13fd971bad2119eb70 *README.md
e43f2abafa1dc919fab04ac1467af181 *build/vignette.rds
ef9b39f12581d5f39f8eb644b192c3f6 *data/PEN_death.rda
34c95898bd948abaf6e43088e754147b *data/ccData.rda
fa5c5fad255cce1bdf02f54ef8f8bfca *data/covid_canada.rda
9774a1e719a15caf2827978874899ba5 *inst/doc/BayesGP-Partial_Likelihood.R
c6142ceca9ee78370555e8acf80c36a0 *inst/doc/BayesGP-Partial_Likelihood.Rmd
b438cfd198639c71dd965aed2b9a7177 *inst/doc/BayesGP-Partial_Likelihood.html
d80783edb32decdb0ad8ffb75a86c662 *inst/doc/BayesGP-covid_example.R
93c1e753e618bd293f92c1d1b949f99d *inst/doc/BayesGP-covid_example.Rmd
0615f6dd4af41e4832ec218f28f641e7 *inst/doc/BayesGP-covid_example.html
9abeb5a3db1483d392d5b198a086077e *inst/doc/BayesGP-sGP.R
6c52c5ec6b6bf91545f43842bc534ded *inst/doc/BayesGP-sGP.Rmd
bb234ffaae90bae43db93570091d2857 *inst/doc/BayesGP-sGP.html
67374f4fcd8aed8c18a1ee19bd6bd0a1 *inst/extsrc/BayesGP.cpp
82b6944c447f2c7d7b40a9d4c1ea376c *man/PEN_death.Rd
ad67ffd830472858924556a303d29d45 *man/ccData.Rd
21413268ab099d03938f662b1b87b1f0 *man/compute_d_step_sgpsd.Rd
7d3ffe456ec72b205c1fb64f0562b6bd *man/compute_post_fun_iwp.Rd
efef630fb8488b38ad3c0fb5877eeb4e *man/compute_post_fun_sgp.Rd
87d8007cdb0ee9e8f91e35ec1ef1e5b2 *man/compute_weights_precision.Rd
29b82d4534da80693360b1edac77e60e *man/compute_weights_precision_helper.Rd
6fa786a63c84233b1e023bde282d5ef9 *man/covid_canada.Rd
a9d903f2579541805093225c6abfadd0 *man/custom_template.Rd
0d51f8d4add940526581d8ecb6cbb682 *man/dummy.Rd
040d5a09fd357ee435ef4d139e654ebe *man/extract_mean_interval_given_samps.Rd
21d2894a9d9278d5eeaffb397d1570ff *man/f.Rd
aa56c72a91bf4f026f739fd782dec94c *man/figures/README-data-1.png
f98b8ec324ffef107d18bfd159da6056 *man/figures/README-unnamed-chunk-10-1.png
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4d1f952c3bbd3dd3d02533d1e55a0b9c *man/figures/README-unnamed-chunk-5-1.png
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0bd913671167fc963e7d2540a0603940 *man/figures/README-unnamed-chunk-8-1.png
7db2140f8acd03e29734bb683439cb72 *man/figures/README-unnamed-chunk-9-1.png
5a2df75932e101c5e45e3ef538fa1609 *man/get_default_option_list_MCMC.Rd
bc4444d8c3a6daeb61882a58770b9b86 *man/global_poly_helper.Rd
e88f1b5b53ea75b32f5da16e91002e41 *man/global_poly_helper_sgp.Rd
d34569d2205e635a003bf3c38757d171 *man/local_poly_helper.Rd
bcd431972a17d13d9bde2671b3aa5304 *man/model_fit.Rd
49f79cba7888990fe8c56f5334e2e144 *man/model_fit_loop.Rd
b93bf27ff137564dad59d5f290c6c472 *man/para_density.Rd
8d91914b66178a99705d5be46c49119a *man/post_table.Rd
c397344bb09925871108e1a58c9deee8 *man/predict.FitResult.Rd
0c224f8ee08bf6207ea2e847947ae713 *man/prior_conversion_iwp.Rd
4fa1e0c34d7d6f0db2aa1d569e3782b6 *man/prior_conversion_sgp.Rd
1e528c1f80439d86730c5719a92a4c1a *man/sample_fixed_effect.Rd
c6393708f121df9c918634aa4a55e290 *man/sd_density.Rd
832fbec85de48990cecea6331fea0358 *man/sd_plot.Rd
67374f4fcd8aed8c18a1ee19bd6bd0a1 *src/BayesGP.cpp
eb38f8c45478105a390ea1dc11257b9c *tests/testthat.R
573f08884e7aafaa5ceb2517c53a7784 *tests/testthat/test-formula-parser.R
026577fb304cc43127e32c242c9df24a *vignettes/BayesGP-COVID.R
c6142ceca9ee78370555e8acf80c36a0 *vignettes/BayesGP-Partial_Likelihood.Rmd
93c1e753e618bd293f92c1d1b949f99d *vignettes/BayesGP-covid_example.Rmd
6c52c5ec6b6bf91545f43842bc534ded *vignettes/BayesGP-sGP.Rmd
