5a1ad04b53524a96164697f2cd53a887 *DESCRIPTION
df483bcee405aa683da1581da948e8dc *NAMESPACE
dc40dc943f61fecadfed257ca5eb44f7 *NEWS.md
72d7c211c21ac8c565cc396f926be280 *R/additional_divergence_measures.R
ff727fe50c57aaa020f9da56eda5b64d *R/brms-functions.R
d30216cba83266dcb492e885ab7f7c9c *R/cjs.R
3e11d9d4291cbc41607c56203bf24795 *R/create_priorsense_data.R
4f18f3821e54e79fc0356328abb4d1e6 *R/cumulative_plot.R
00498fb022ec2db399805b85634927a4 *R/ewcdf.R
8e42efab1cf8f9123c675f44ea57144f *R/example_powerscale_model.R
d3481dc78ad4c05b599c16c5134eb7fa *R/find_alpha_threshold.R
9e5d8d6f074e79eb1b22d21162629b37 *R/get_draws.R
73f35acc08e988e6f68858f22f358ffc *R/ggplot_theme.R
dac035dab227bf436538e29c54363c8c *R/helpers.R
0f7a18de7f260a772f033bb619a96442 *R/log_lik_draws.R
5052c65e41990c6e339a1dd14ce8af3f *R/log_prior_draws.R
f042fd66286df4901827e549cf7d754c *R/measure_divergence.R
01bd418d2295f22075ba1d8b14dbb55c *R/plots.R
76047c657def048c91121b8350aedb79 *R/powerscale.R
0610a14945d1c158f128ce42bf2535fa *R/powerscale_derivative.R
24b6221ff59d74207c936eecc44a4469 *R/powerscale_gradients.R
09b66bc575a9a29c6b04ff8fe79f29de *R/powerscale_sensitivity.R
6ac2c82bbad193e796fe526b83fbb8c8 *R/powerscale_sequence.R
cf0fb7c9c86d9b29b78ee9cab91fc56e *R/print.R
415004f4bd19297438bb4f8755d3c158 *R/priorsense-package.R
440c2ae148a612bcf5d0f294d9b66943 *R/scale_draws.R
eb64062e99de2675a6ef072d9e67034e *R/scaled_log_ratio.R
c9618a49125e5f96ae9f2283fcd95bbd *R/summarise_draws.R
fef6aaeca05698a2c7693fc34561929d *R/sysdata.rda
542930079be90dc869d3fb8be4e09342 *R/weighted_diagnostics.R
321742800e424d1680e68de3bf7876ec *R/weighted_quantities.R
4b1ca015cabc5834e408984e2028c538 *R/whiten_draws.R
62a8fac8dce6375640596efa9a215da6 *README.md
02168328e75009dcdcd09c757f0c65d6 *build/vignette.rds
3d5ca37a3e40204a9ffd6693efca0627 *inst/CITATION
434ccd668479dfa05cf54697deabd623 *inst/doc/powerscaling.R
aec52d516dfab76f7b643df71a6f1c2f *inst/doc/powerscaling.Rmd
edf83001f35909302d031355ec8d35a4 *inst/doc/powerscaling.html
2ea05310bfb8bd66aad0d6bd95e54021 *inst/logo/logo.R
e93121f4b2bd706f26b457f0901410fe *man/cjs_dist.Rd
1ebfc4479b55da9abf298c4baf66d75b *man/create-priorsense-data.Rd
1039cc3d44459b6216efa7629b2a67c8 *man/example_powerscale_model.Rd
3999ab199b78dfc333f2f2f52be02fc2 *man/figures/README-dens_plot-1.png
af0ef82223990aa2c04cc0fff4109d3a *man/figures/README-ecdf_plot-1.png
1f9da8b9aeda84d23e896d493c7cd1af *man/figures/README-quants_plot-1.png
a823f748ea1e8099be34925f37482135 *man/figures/logo.png
58bc64df5519227bac1d7ffcb103c31d *man/log_lik_draws.Rd
80b8e85817836f27a042ae9c9b85b49e *man/log_prior_draws.Rd
df416f00405bda65c9769d3f5349c531 *man/measure_divergence.Rd
303c0697ffaf2bd4ce1a473e781c23f7 *man/powerscale-gradients.Rd
3816e5b7f9a9479a2177705403716bc0 *man/powerscale-overview.Rd
fbb4a26152f19f427045ab115056df76 *man/powerscale-sensitivity.Rd
85e8e53865687085ff76f832c07a442e *man/powerscale_derivative.Rd
5c653cf158872357ac15ae713ec32270 *man/powerscale_plots.Rd
b6a453c1d84ec05b64cbd5e48cab1f7b *man/predictions_as_draws.Rd
468a3975a96ff8125cac97f9c3e498af *man/priorsense-package.Rd
5846811ae0bc7c33247dc2740c321d62 *man/scaled_log_ratio.Rd
50742780d2d675af124b4c52812980ab *man/weighted_quantities.Rd
3174ddd65d970d858d579eb88b308276 *man/weighted_summary_measures.Rd
dae759749cbf489bd1e3ed86a657a945 *tests/testthat.R
6a36ebdc7d3686f8c4a80edd5fe12a5e *tests/testthat/test_brm.R
2a639cc101d869cd058fa51dbe050888 *tests/testthat/test_cjs.R
2323b4f3fc129c85f2d538de29e5ee45 *tests/testthat/test_cmdstan.R
b91c397dac474eeb8e7a87685902e376 *tests/testthat/test_deriv.R
406de4df711333b3473a47e9b3510736 *tests/testthat/test_moment_matching.R
45ca1a5a6add2ec2eb51e915a7711124 *tests/testthat/test_plots.R
90006b1861c50f39ab1434e0fefd6ca6 *tests/testthat/test_powerscale.R
b8a173f12bffe6b6ae6885f6dc03c0c4 *tests/testthat/test_resample.R
919286e3965a7ff04fc7848062a37508 *tests/testthat/test_rstan.R
79a9e3ef688c2990e50b0b0af75994eb *tests/testthat/test_weighted.R
aec52d516dfab76f7b643df71a6f1c2f *vignettes/powerscaling.Rmd
