0d0d8d8d6029c35b605acc228103e025 *CITATION
e1d56c330733273f0dd33031ff5a73f1 *DESCRIPTION
8100a9c3be1f51c1670ed8dcb4a4f9e9 *INDEX
0079a2a86abeb8014b17048f8112fa30 *Meta/Rd.rds
50a9fa3e1aa2c47fa7bdbd6e6bb8974e *Meta/features.rds
4c2200f3a8ec7c8f6702cdfa99726cd1 *Meta/hsearch.rds
52efaa69599c882b444b1e10d8b3578e *Meta/links.rds
26661754cbb33d995ef50809ba05faa8 *Meta/nsInfo.rds
f22e0f05d6407de441fa6446f124cbd2 *Meta/package.rds
945bf1c3b39cc6a6fbbd55918b20e640 *Meta/vignette.rds
c5c623b4c53a2024bab52f534d73218d *NAMESPACE
b0df63f652b2dfa73e0ad4b82cc7b712 *NEWS.md
4a426730907d23ca20876274e05bf2b6 *PRA_hex_sticker.png
d6c68f1fe41ced6e98a766a3757313da *R/PRA
07e6d1403e85cdf49823d13112745f7b *R/PRA.rdb
e15da49bc6f0466953d0b6c558016a4a *R/PRA.rdx
32d81f0fe9948b750d7d408ebdcba46d *README.md
bc7df01bbb58a55a0c01f42f20a243db *doc/Bayes.R
542c58a7f4b91b3a5d39a7dcf2448aaf *doc/Bayes.Rmd
19e1f2506243cd438fae9f218532400a *doc/Bayes.html
724fce1bf22244bd540b4657efb1b891 *doc/DSM.R
ea294d8d35fb13df559a90669d0601be *doc/DSM.Rmd
e3975c446e94e12f47fff6f8afa0737e *doc/DSM.html
7b8aa512f53dfca9f0acfb3d11e95535 *doc/MCS.R
f55ccd93e314b3d95d1bbf860215d9e7 *doc/MCS.Rmd
03d4a813e9e01e55d0cbb4e425a6bf00 *doc/MCS.html
35d1cc3b0824c3ee24a6bfd51c10ee9d *doc/SMM.R
e7badbd1b80df7896926cbf866714313 *doc/SMM.Rmd
0c2b2eb4ce79a6ad90f8d114fb707506 *doc/SMM.html
963504bc721e8ee57384b89096d05709 *doc/agent.R
fef53c6aa47cad6966eec2c2b23477e7 *doc/agent.Rmd
3a32a53548bafaf87ae3e895ad47fd5c *doc/agent.html
78b3f08e77a8607a41783a7eb70d717a *doc/evm.R
5ad50c82eb3a5c92b952d631359c8bbb *doc/evm.Rmd
ee5b64d3d21c0a5515ee57cdb7699f53 *doc/evm.html
78e2fef7c589a7a6d48499cc891e69b3 *doc/index.html
cc5f35dd72434cd094d9f6eebc517853 *doc/sigmoidal.R
af9f8b5a647725fee18b8316ffd908e6 *doc/sigmoidal.Rmd
dc382bc02d0180c67288245fef1eabc5 *doc/sigmoidal.html
64edf4c6ef68b8e85586b796e8c6688f *eval/pra_eval.R
cfbc4d2133b1e8e123804bf98fd76f12 *gauge.svg
593c2a864781f332fad11725e092319c *help/AnIndex
a1bb22500f0ea340f92df6f3776a677d *help/PRA.rdb
bf690265c8abff1659b23817415396bb *help/PRA.rdx
3e0575a86c660f25e92a508e9435feaf *help/aliases.rds
ab3dbdacc7b819c12919c6d53dafb91b *help/figures/README-example-1.png
4af44fb0a3e8a10a9c7150c96db58174 *help/figures/README-unnamed-chunk-5-1.png
ca4a41fa2041547afea2a92c505b1401 *help/figures/README-unnamed-chunk-8-1.png
9b539c5bef8a69cffec0d76c3e9cdc1b *help/figures/logo.png
c79643e3be7edb7d9ebc0847363242ca *help/figures/pra-app-tool-call.png
5b8ab50422fe0bd3d71982684c84e3a7 *help/figures/pra-app-welcome.png
b8d7e023bcc0ebb4c35cec91af550515 *help/paths.rds
afa145a67f0a5d6d39b9e3720c3f5278 *hexSticker.R
3221dd5360198cf591524ac399345cb1 *html/00Index.html
ee41876c0116916bb04bcf4fe3e43d78 *html/R.css
3720c6df972843851d3b5ba4901d8282 *knowledge/bayesian_risk.md
35e4e937b566b15a8ba69743a33aef2d *knowledge/evm_standards.md
b63ddcc305b4f5f3ff2c98c6b396fc87 *knowledge/learning_curves.md
4c1a30d9a52324cff4afbd4fbeaba2ad *knowledge/mcs_methods.md
ee90fe13c283d85205b96b6d4c152aa4 *knowledge/pra_functions.md
c68554954c3c3139fb837ed711bdc363 *knowledge/sensitivity_contingency.md
38db42d32a2f7f268f0b28dc3a1f4a21 *logo.png
