efee1bca28755ca3902c522fe7d17abf *DESCRIPTION
c8fb3a4baf9c78aa3209411166fdce34 *NAMESPACE
ca390314a21bb8ac64e1fd20ec26d621 *NEWS.md
b405bb8b73fc6cc4fba39538f6492fda *R/RcppExports.R
59276b07580977bd026088118def826e *R/compute_deriv_nn.R
8da176197e4b0db0215780ce1a2d5644 *R/compute_deriv_weights_gp.R
cd42e4cdd0f5a10298f8fd0ee5d54004 *R/compute_inverse.R
083b36a998bdc60c1e150dbcab8d63ea *R/compute_m_sigma.R
e0a9176c166c9146e20d9e4acadadac1 *R/compute_posterior_m_nn.R
278a7e55e1bcd896a850a12f7a9c91e5 *R/compute_posterior_sd_nn.R
298ef3f3f6abf52be6cf460cc940ea72 *R/compute_rl_deriv_gp.R
0fc33d3be31dbd512c659eef625d2cfc *R/compute_rl_deriv_nn.R
f54516776208566dc7f87460e6672f26 *R/compute_sd_gp.R
a52ce83c49bb8f5cd7a7a85ff29c09c7 *R/compute_w_corr.R
2e75727473599c910a9e649d1613bf7f *R/compute_weight_gp.R
58e0bd6e4c1a04eb992b544c32b0c98e *R/estimate_cerf_gp.R
057c00e0ba0a7961203ac2dab920d8e5 *R/estimate_cerf_nngp.R
1433a9f177f94f9909af5797fef5423c *R/estimate_gps.R
480b7a57e822f28ff179b5b55a1acc68 *R/estimate_mean_sd_nn.R
8746b2e489b44b849ecef6ceb60a21ea *R/estimate_noise_gp.R
1b9bc564b25f3830a16777cde27392ed *R/estimate_noise_nn.R
7a5b83ead973339685da8fe8c30707c4 *R/find_optimal_nn.R
a844530327d5b87fd38435d3000beaee *R/generate_synthetic_data.R
d5a225a6ad97f593fae31fa94b2a8001 *R/gpcerf_package.R
469ca91c034742f1bdd773e0cad383b4 *R/plot.R
daf7cf8541b84f9ab78a80c3af330f5e *R/print.R
2206100627cf64305abf84542c4aaf4d *R/set_logger.R
9e444beaa49a5f2bdf36ce7e9998206e *R/utils.R
9de4560b0bd6019a13baef73681055f8 *R/zzz.R
c6a67ce939e6b37aa37c36e2a082ce79 *README.md
95b2c78994646058f0c2ee674f896d49 *build/vignette.rds
d048d3884ccbf9ccba7fb4b7817793e3 *inst/CITATION
3c9e2d06e8560272e30c98b0c827478b *inst/doc/A-Note-on-Choosing-Hyperparameters.R
064193544f8f3b576d2ac6d6768c45bb *inst/doc/A-Note-on-Choosing-Hyperparameters.Rmd
3f9b5633fee7060466472bf9951444d9 *inst/doc/A-Note-on-Choosing-Hyperparameters.html
3c9e2d06e8560272e30c98b0c827478b *inst/doc/Developers-Guide.R
f1555c0c3920d05252eeced4102eb43a *inst/doc/Developers-Guide.Rmd
2775de26a6338480d8847c30577aa456 *inst/doc/Developers-Guide.html
3cb8e7f6aca91fb4d90a61de8f17d432 *inst/doc/GPCERF.R
8adfe15dd12d933b054e775110cda9e9 *inst/doc/GPCERF.Rmd
8124189282b85f9c0255aa20290cc858 *inst/doc/GPCERF.html
aae52b3921e6f87ae00075bd1246bfe3 *inst/doc/Nearest-neighbor-Gaussian-Processes.R
c2bff1dd33d4a7a2bc83fb6860c31689 *inst/doc/Nearest-neighbor-Gaussian-Processes.Rmd
4f41beda659c1ea88d4b6cc9fb01f8bd *inst/doc/Nearest-neighbor-Gaussian-Processes.html
b3802675f8a50ab56d6dc1fe972e31f4 *inst/doc/Standard-Gaussian-Processes.R
be6df80d2924be574199859227417c13 *inst/doc/Standard-Gaussian-Processes.Rmd
9b96ebc78bd16ee5e81b8dd117ef8f5f *inst/doc/Standard-Gaussian-Processes.html
11f1c2a6463f52f96101bc1b89f13f56 *man/GPCERF-package.Rd
72bbbef751a4e77976fd729745f8938a *man/autoplot.cerf_gp.Rd
8020b961ddb032cb7d0a8b96e351b71d *man/autoplot.cerf_nngp.Rd
6ff974691020412276348009024a8ffb *man/compute_deriv_nn.Rd
c158804343deed38498d4697e5d449f0 *man/compute_deriv_weights_gp.Rd
ab382e9c0240b0205b76c23a852368d4 *man/compute_inverse.Rd
741a52fed8dd2a605550ef0660679ea4 *man/compute_m_sigma.Rd
d2dc229586b5b8a6486b1c28acc0b73c *man/compute_posterior_m_nn.Rd
3bc61ddd7dc93b7aa1585b01d5ab7bac *man/compute_posterior_sd_nn.Rd
9a6fb45d423c3a4294b6452abffe55ed *man/compute_rl_deriv_gp.Rd
f05636371a47893e4543a2c1e06302be *man/compute_rl_deriv_nn.Rd
5edc004ac4e5d96780887bf212ad14b0 *man/compute_sd_gp.Rd
162c2e7b11a958f15c6bd9d428d3dd2f *man/compute_w_corr.Rd
f770ab9e089353cebd2105fdd18d2138 *man/compute_weight_gp.Rd
a224bafdf4e0eee2c453b8faa0de9b5c *man/estimate_cerf_gp.Rd
849514ed7c0bd3a1ef2a68355971767b *man/estimate_cerf_nngp.Rd
67ab139611cd5a496c4004edc3ac4ef4 *man/estimate_gps.Rd
852f38547002d4b3f4e7f5a3a72d48d9 *man/estimate_mean_sd_nn.Rd
dee02246814c6c90e7247888f689c58a *man/estimate_noise_gp.Rd
02e2e8901e78feebbb2453312cb7a7cb *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
4cbce774458b508ba95a9fe630151a7f *man/find_optimal_nn.Rd
982b24ff18760b9d1ceb88e606c0d5c7 *man/generate_synthetic_data.Rd
5c83ede006e027234eb0285fad65f18e *man/get_logger.Rd
a34a98794b805eaa2679778e99e4fd6d *man/log_system_info.Rd
09e70e9a7d4b9470603361bb7497ad82 *man/plot.cerf_gp.Rd
8eae7451c2e528e10f9982d0a38e8aae *man/plot.cerf_nngp.Rd
ae08843a7aba0cc2631ded25b3ebf7a1 *man/print.cerf_gp.Rd
9b5559f30a05ad0d9c3604c9e155d7fe *man/print.cerf_nngp.Rd
ac8c24913a60641823cbc239b85e3872 *man/set_logger.Rd
cd0df7f987bcaabee9fe15f8658f1b56 *man/summary.cerf_gp.Rd
5f4b988433507bd6ceaac0fd6f6c692f *man/summary.cerf_nngp.Rd
daf246d2559a7df53698b1714f020b7a *src/Makevars
d80543633f2d4563ff1d3124278e5b4e *src/Makevars.win
a26139bd927da918f977b3d5931af0c4 *src/RcppExports.cpp
e85710060ce0a704e63514dec621de9f *src/code.cpp
e869a151deca977124aef19741ed8eb3 *tests/testthat.R
bcab79cce91cc35ed4b712ca337debe8 *tests/testthat/test-compute_deriv_nn.R
b16489f741e58aa2a1685811c8e3f171 *tests/testthat/test-compute_deriv_weights_gp.R
1030ca499832e8cf726f7dd23721e9b5 *tests/testthat/test-compute_inverse.R
89ac0a657747f527549cc93aeb4193bf *tests/testthat/test-compute_m_sigma.R
01beb8fc95cc88bd2020b9eb2529f658 *tests/testthat/test-compute_posterior_m_nn.R
8f0a5a38f4b2e237a7004308121052d6 *tests/testthat/test-compute_posterior_sd_nn.R
b1dfc28641ed3ca1483b9f22360ab480 *tests/testthat/test-compute_rl_deriv_gp.R
dd44c4ad11272da31ff94862ab6c0e87 *tests/testthat/test-compute_rl_deriv_nn.R
a2f022f671229c5e12957aa7246a148e *tests/testthat/test-compute_sd_gp.R
b11f00c4bce630e699d15eb65fd1a932 *tests/testthat/test-compute_w_corr.R
975e1a4949eb00a608ff535e6e1bd9e3 *tests/testthat/test-compute_weight_gp.R
54041673e4885ff906da6f03c6e1a096 *tests/testthat/test-estimate_cerf_gp.R
5a4cc33bb8106fd9edb8ad32023c8232 *tests/testthat/test-estimate_cerf_nngp.R
b4cdfa72456b0c369833d15938aad942 *tests/testthat/test-estimate_gps.R
3dfeb0717db6662e1644993d397922a8 *tests/testthat/test-estimate_mean_sd_nn.R
5474b17ed580e8f0154f8efd47902f94 *tests/testthat/test-estimate_noise_gp.R
afc1b2ced29ab92789881820e33f08fc *tests/testthat/test-estimate_noise_nn.R
24b522198c468b710573e71c91b332e6 *tests/testthat/test-find_optimal_nn.R
9587fb689ef4f11e30fd54676f672e8d *tests/testthat/test-generate_synthetic_data.R
00a033c604fa5a3f43ae86b9079ee5c3 *tests/testthat/test-set_logger.R
064193544f8f3b576d2ac6d6768c45bb *vignettes/A-Note-on-Choosing-Hyperparameters.Rmd
f1555c0c3920d05252eeced4102eb43a *vignettes/Developers-Guide.Rmd
8adfe15dd12d933b054e775110cda9e9 *vignettes/GPCERF.Rmd
c2bff1dd33d4a7a2bc83fb6860c31689 *vignettes/Nearest-neighbor-Gaussian-Processes.Rmd
be6df80d2924be574199859227417c13 *vignettes/Standard-Gaussian-Processes.Rmd
