9528204efed31d97c9dd81f7755ffd01 *DESCRIPTION
07c0ef370a0d91f1fdf3a5b13e8c4103 *NAMESPACE
ecb0e57264ed376682c0264fb5a1c846 *NEWS.md
32148b676e36cd1e3e86061d6db28f51 *R/RcppExports.R
537195f888ded405b80e46251e6fbb6e *R/compute_deriv_nn.R
7ca47eeb620f8e2a95ccae610b3bebe5 *R/compute_deriv_weights_gp.R
a4681f800ba72e245eebc9b6b5ccab96 *R/compute_inverse.R
cb0a2390d48e27c2e60e66a2fdb71fec *R/compute_m_sigma.R
4e6a5e6fcb63e032fc940242c9b3a4db *R/compute_posterior_m_nn.R
9fc44580a1f127b03b1b06487017deff *R/compute_posterior_sd_nn.R
a53b216723ed674aac06b12f47d9125f *R/compute_rl_deriv_gp.R
36d4f130f6f960edebf06be45f1f4ea7 *R/compute_rl_deriv_nn.R
36e3ae19c46136d509549fb686b70c60 *R/compute_sd_gp.R
70dcaf770f41dbb6b25d4e755a234d7e *R/compute_w_corr.R
3b64208713d9ba4c81ffdb1463238baa *R/compute_weight_gp.R
8afba57b6d5b4cb4381a5f8bc33d7ea2 *R/estimate_cerf_gp.R
0d0c99ee2a8ba1e530a787c3a632eb3a *R/estimate_cerf_nngp.R
b26e89ad0ad6ec9e412275b914dbf414 *R/estimate_gps.R
ca7201b99b39a66a9bf14d530602dd33 *R/estimate_mean_sd_nn.R
836899911c409a930e5be61399c54e3e *R/estimate_noise_gp.R
934466bd8f708ddde63c476d12b7cbd0 *R/estimate_noise_nn.R
43132c10cb4f0bee419f28d8f71e134f *R/find_optimal_nn.R
2157da20421ebf13bc9233d4aaead77a *R/generate_synthetic_data.R
df87287952906eca360ee279c0e42204 *R/gpcerf_package.R
cde32a9acdfcdd8d6c15f330d0617566 *R/plot.R
a43c4406c17b29218024030408b11103 *R/print.R
d5b3c01595bad03b18d229c4251c75bc *R/set_logger.R
6c282cb3f40c2f1243774bb71a7f2d32 *R/utils.R
6a68a8f866a3edffe5d626089d62f02c *R/zzz.R
f15255b4fca5f08805ad9bd75807cc89 *README.md
30784936fb0e64ad0b27a8df7307438e *build/vignette.rds
a8b40f44e0de3e08250b12cfc483f934 *inst/CITATION
e8c98e39c7a9fcb4b53cb90eb37e61cc *inst/doc/A-Note-on-Choosing-Hyperparameters.R
cf21accbd0069016aa124f2b7b06ad5a *inst/doc/A-Note-on-Choosing-Hyperparameters.Rmd
89700a3ccc335bef8df5cf589d572d42 *inst/doc/A-Note-on-Choosing-Hyperparameters.html
e8c98e39c7a9fcb4b53cb90eb37e61cc *inst/doc/Developers-Guide.R
90f5f2850be8ceb6722046a9c6272053 *inst/doc/Developers-Guide.Rmd
2c24566df32b8668985fb7e2c72486c3 *inst/doc/Developers-Guide.html
ba336a6fe24417b3c5ef702d6aa1b1ca *inst/doc/GPCERF.R
0b76792338c33a58f3eae34ca2290f1e *inst/doc/GPCERF.Rmd
1299fb327496dcb9a0179858afc491bd *inst/doc/GPCERF.html
629cadfd992be11bbd865fea8e6fd1a8 *inst/doc/Nearest-neighbor-Gaussian-Processes.R
b66aab2b8072aa34db9b1afe9ef474ee *inst/doc/Nearest-neighbor-Gaussian-Processes.Rmd
5f76d9cc0d78d0f8344b00f1c22a8c4f *inst/doc/Nearest-neighbor-Gaussian-Processes.html
b553f6c3bef9e275675e3d60ac50f237 *inst/doc/Standard-Gaussian-Processes.R
1b0cedfd0c75547464f0a4e0818f876d *inst/doc/Standard-Gaussian-Processes.Rmd
93042caadb2be0d73e0c480da04c9ee8 *inst/doc/Standard-Gaussian-Processes.html
9285e27acda9ea6580a2f476b134d74d *man/GPCERF-package.Rd
b59f13c85d55792bb7bea691d0d0fad3 *man/autoplot.cerf_gp.Rd
7d9083f7010c1b27997cd6d98981f997 *man/autoplot.cerf_nngp.Rd
0a867d8e5702ce22f25f3e4363f17947 *man/compute_deriv_nn.Rd
60d1f4307a6d55d5eb2dc73ca32a144a *man/compute_deriv_weights_gp.Rd
64efed5a338269eb002302cd3cd57452 *man/compute_inverse.Rd
c87da16575a2ad5bc7a87cf5bd22eb2b *man/compute_m_sigma.Rd
f6c4536a90b645fb1b381c0622e7c053 *man/compute_posterior_m_nn.Rd
453f28aa5dd900104ed2afce7f811884 *man/compute_posterior_sd_nn.Rd
af2a12b1066b7114dc44d53340d17b66 *man/compute_rl_deriv_gp.Rd
bac3a0d1b50866a701d3fe57321f0b67 *man/compute_rl_deriv_nn.Rd
a13f45ceb7a573c4b446db9d3ea62c64 *man/compute_sd_gp.Rd
943562f2b5f68b72225c264d53872b7e *man/compute_w_corr.Rd
bf72dbc58fbe8aa77a59f0a248c2ced7 *man/compute_weight_gp.Rd
975a9ee652503ad4517f22c18de4aa0e *man/estimate_cerf_gp.Rd
a81a37b04c13e34d8c14c2c794015f1b *man/estimate_cerf_nngp.Rd
36a15e96189db3e2baacb04071a36049 *man/estimate_gps.Rd
5e1e1fec89f60831aa64f9737f8780d7 *man/estimate_mean_sd_nn.Rd
3843ba0a46d73cf7c2efc0cf09e743bc *man/estimate_noise_gp.Rd
759bdc34709f32fe609d0478ea32f6c4 *man/estimate_noise_nn.Rd
9ac42e0e188b2a782ccd5b781e63f598 *man/figures/ai/gpcerf_logo.ai
28233cc00806b5a867a080d22a1391d4 *man/figures/png/gpcerf_logo.png
5e5e32a61c2f31438a5e186e1b4e5451 *man/figures/png/readme_gp.png
b74d833398cb6e55d69bcf5c2042b7b0 *man/figures/png/readme_nngp.png
3068bbf644007dcb17c5a0e0c49ac926 *man/find_optimal_nn.Rd
cd793cf4d96cdfab508d9660c6cfb718 *man/generate_synthetic_data.Rd
30093a6effe0dd76ed850f4d84c3a35b *man/get_logger.Rd
a34a98794b805eaa2679778e99e4fd6d *man/log_system_info.Rd
c4f12b9d2ea9e7969240014de4728c34 *man/plot.cerf_gp.Rd
18900f77c5175b9a676309a8a6b0f254 *man/plot.cerf_nngp.Rd
b0daf3a82d63dabc272df607616b1533 *man/print.cerf_gp.Rd
de56d7c4c63d2042e28dfbcb8f7436e5 *man/print.cerf_nngp.Rd
736a27dfa41d2361354ac3e105cdd2d3 *man/set_logger.Rd
3d45b35905b69896ddff59f48eb20ef8 *man/summary.cerf_gp.Rd
e8000a03badc469d9592566e43ba87be *man/summary.cerf_nngp.Rd
daf246d2559a7df53698b1714f020b7a *src/Makevars
d80543633f2d4563ff1d3124278e5b4e *src/Makevars.win
a26139bd927da918f977b3d5931af0c4 *src/RcppExports.cpp
e85710060ce0a704e63514dec621de9f *src/code.cpp
e869a151deca977124aef19741ed8eb3 *tests/testthat.R
01a73a7946c94ea2a9587fed4be2e942 *tests/testthat/test-compute_deriv_nn.R
7a87d1f74777943409f4ba4f910ded97 *tests/testthat/test-compute_deriv_weights_gp.R
867d2023208f517b18d5cb83e07c7a86 *tests/testthat/test-compute_inverse.R
ff28f321837f2dc7f8a5521e41309595 *tests/testthat/test-compute_m_sigma.R
da78c10f4d97c9c68d748cbff239c021 *tests/testthat/test-compute_posterior_m_nn.R
424b04c7c197bc210d555dea50fb3aa8 *tests/testthat/test-compute_posterior_sd_nn.R
eeed638d01de3f3d8900b335a804e743 *tests/testthat/test-compute_rl_deriv_gp.R
baa1007b361a3be568b282f17076092e *tests/testthat/test-compute_rl_deriv_nn.R
2256c8238ac6ba7cf257a5692b4b81a4 *tests/testthat/test-compute_sd_gp.R
ffb4c63624447a00f8a96634d96d21bc *tests/testthat/test-compute_w_corr.R
f92d30eeff4c70013dabe51ed7e534d3 *tests/testthat/test-compute_weight_gp.R
fa1c00f020ae464b7dfc11522c5f3b40 *tests/testthat/test-estimate_cerf_gp.R
6532b39938e9fdf3d90f06830c4532b8 *tests/testthat/test-estimate_cerf_nngp.R
ee1ebe54b0e8a234e18f630a247f08b5 *tests/testthat/test-estimate_gps.R
5968134cf1dcd1d329ed8e011421642b *tests/testthat/test-estimate_mean_sd_nn.R
54c1ccbf86fe867c74fd9e6a3e46b000 *tests/testthat/test-estimate_noise_gp.R
c7e7c4aa0c1e7234b485358b2779559c *tests/testthat/test-estimate_noise_nn.R
fe250e3587429e702926eb7ebd36a32d *tests/testthat/test-find_optimal_nn.R
b240823e515d9c63545563a18f37237d *tests/testthat/test-generate_synthetic_data.R
00a033c604fa5a3f43ae86b9079ee5c3 *tests/testthat/test-set_logger.R
cf21accbd0069016aa124f2b7b06ad5a *vignettes/A-Note-on-Choosing-Hyperparameters.Rmd
90f5f2850be8ceb6722046a9c6272053 *vignettes/Developers-Guide.Rmd
0b76792338c33a58f3eae34ca2290f1e *vignettes/GPCERF.Rmd
b66aab2b8072aa34db9b1afe9ef474ee *vignettes/Nearest-neighbor-Gaussian-Processes.Rmd
1b0cedfd0c75547464f0a4e0818f876d *vignettes/Standard-Gaussian-Processes.Rmd
