0de8d25b67e554be38c9b5e4644abd795139bc0589e1285def36151faf64e01c 42377 data/Rdata.rdb
3dc05f5b075125e3f28cb39a65c2a9cb48d6431af092570a0cda1c69d9a0fd89 129 data/Rdata.rds
032689fa5f81c2136e807410f526daf15670bf2049c80ba5ff660c9917a847d0 208 data/Rdata.rdx
fbae0db51694c36ee2a29abafb49dc4dfca4f5c0d9064177ded49d36522f94cf 5294 DESCRIPTION
dc764a5e31bcbe281fe159ee79e06d9a0570cf9f11c743133d007fb04cf90d62 2970 extdata/Bootstrap/data1.csv
2e42251888a952b9fd9f95b302776a5ca5bb2edbc6cc68498e66b91fc1755c9a 731 extdata/Covariates/test_occ_covar_1.txt
f1df07f347107c384c7674b510d08d38263247d98c86e844eda5c62474b0627c 915 extdata/Covariates/test_occasion_covar_1.txt
f5d07d144a29c8d09b9b33a8cc908a5ffa83550a66db8ce3d0e85aa6fc0a2ccc 1856 extdata/Covariates/test_occasion_covar_2.txt
c68a600fc472f55b50b31087c78d6118cdff4045c892bcbd8faeb84b6dd076c4 1867 extdata/Covariates/test_occasion_covar_3.txt
0bc7451289cec2e1b64fdcd41beba1ded89a9022d7055a9f7c033dac87cd84c9 76959 extdata/CovModel/Cov5Ls_Cov3Ls_Cov2Ls.csv
d3eccd3f084b39567c81234ea574bb09923a62556e7184098c4ba05fa57bf29c 267 extdata/FixedEffects/set_fixed_effect_1.txt
3580884770037dd1b324cc33365cd18e332e2169f937441dfbc1849b68b5e8aa 340 extdata/imputeMissingCovariates/sample.csv
8be88e193fca47fbe83f7169221a9b9e5d77910b9bc16c52cedc12f928749db7 1038 extdata/mmdlBlocks/addl_ss.mmdl
4396467c93a16fe0aa6c75570a31578e64452dd85aadf08b26c3908c773a9f1f 16140 extdata/mmdlBlocks/addl_ssDF.csv
708c7aebb7a9bfd9ec0261fb6605f87985a134dc182157e3b103cbe8e15420c0 1175 extdata/mmdlBlocks/genderGroup.mmdl
d5e71370eec646361c02bc2cdf445a89b0ae460c6f5218095493ae5117f15af9 939 extdata/mmdlBlocks/multipleEstSim.mmdl
7fdce34fa680a55a3a3863ba81c4b401ab57a6f9557fda9222a767ed7b251a9f 206 extdata/mmdlBlocks/OneCpt_IVBolus_ContCovariatesOnClV_BQL.csv
d23fbff159fff3de3815517197d55a79fb77e2de3f0a408eb39c36c7d1be0444 5267 extdata/mmdlBlocks/pkCovs.csv
427535a02e3e226d1de110acef73394c128ac974a74179a2e7b245df163eb66b 268 extdata/mmdlInfusionTest/nlmeargs.txt
a2cbccd5ee464525ab4043c8d82a4f169a3572a07f04fe90e5bb2a75de617049 1295 extdata/mmdlInfusionTest/OneCpt_IVInfusion_doseStatement.mmdl
34e524d39c34f96cf4207990d8ea3bb091b1666c1bbf622c74301ead4bd0532b 20260 extdata/mmdlInfusionTest/OneCpt_IVInfusion.csv
ae2ebec85c73843e0f0a9a48fb852f6b5c1b37b6cd55e04e871ae69d17988af1 1282 extdata/mmdlInfusionTest/OneCpt_IVInfusion.mmdl
9edb951e71931e5a02ccfc7f8c532beeb83158f57725545b3408d1bfacee48ac 56961 extdata/mmdlNoTime/data1.txt
284603985a94007067825f798a0ecb208911af7aaff0267fd29780f7d45d138e 385 extdata/mmdlNoTime/test.mmdl
65f8f9e6171e98d23e3b255a908720f6b491e54816ed76c247ea5d32f96602d5 39 extdata/mmdlPre/bad_return.R
f0df67f11ba1547e15423e3d7c805bcea8ee14f36158340be84fd5f14178b474 85 extdata/mmdlPre/preprocess.R
9aa943e94cba88382fde6ca9046d00ee22041bf410795942cdbc96f33ee4b01c 29 extdata/mmdlPre/syntax_error.Rtxt
4362731e75fa68a297afa346523f441fca5031c708ce518bfc4e63820d1b6abe 323 extdata/mmdlPre/test_no_pre.mmdl
9fc272a043e5fcb2edfeeb3e894cb9cb4f8aae7c17d9e5aa99122b55b119420a 343 extdata/mmdlPre/test_pre_bad_return.mmdl
afd8184b20da1f78e2a8a55d3b7bd64b70f0eadb24d62d511f139e741e389c71 348 extdata/mmdlPre/test_pre_syntax_error.mmdl
a0a9bafd171a5192ac8fd5bc9f8e2ddbfdd88b4bab61f24fba038e51bb193480 357 extdata/mmdlPre/test_pre.mmdl
1e73aa38b63e4133374db815081623f61c8f2471b804a03e1bf34e171966e129 117 extdata/mmdlPre/testdata.csv
9cf77a19fe2157e8aa5c7728979d7c08f768aab06777370a5dbbb1326e7976e7 457 extdata/NlmeJobStatus/jobTempl.RDS
2be038f4c938de6a754df3ca6c40207178f6f687ab1cb21573711fe862811968 799 extdata/NlmeJobStatus/progress.xml
0258e885aa4e844c5448c51cf8880d1676573b833039b2cc5fcd875953c30be5 380 extdata/PkModel/pk_1c_extravascular_ode.txt
0c5725598aa752263b925dc21046dff049f53f1d38c43daf0fdde7dcc26561c7 482 extdata/PkModel/pk_2c_intravenous_ode.txt
5ce7e9b076d03cd99e872d6be11d9126afffee0fd0b2a38e87837f89f1777eca 139 extdata/Profile/cols1.txt
4c65103aae9bc1b34430d11efe9e49edcff662e7d546d21c5a31890adb1686cc 44358 extdata/Profile/data1.txt
4be015316a626c0a5864010d9c175f8b5aaf2bf1224ffe4c41fb9e5c18b78bc2 346 extdata/Profile/test.mdl
ddbc5231753bfb46f0261f5b9c907886099683a59d97be9e96d1cad7e2952a99 491 extdata/RandomEffects/test_rand_effect_1.txt
d0a8e0f873433d472e7f6379d5ecc0c386b5970a95eb4e6e37ebdf1598c3eb31 287 extdata/ResidualEffects/set_residual_effect_1.txt
ca59d6e9c1ba8a0fa60fa889ad649ac09ab768d22eed07f3fa325b2e015a89d4 215 extdata/ResidualEffects/set_residual_effect_2.txt
aeacb146b5c9902d7ff155c34bcc237a7020fdb73472927dd0df19dbcace53f1 291 extdata/ResidualEffects/set_residual_effect_3.txt
9edb951e71931e5a02ccfc7f8c532beeb83158f57725545b3408d1bfacee48ac 56961 extdata/thetasMmdlChange/data1.txt
28b18a83f0293fd728ab8fecefad0f6337a5b1770447480254f31f68f1989662 22695 extdata/thetasMmdlChange/resmodel.RDS
284603985a94007067825f798a0ecb208911af7aaff0267fd29780f7d45d138e 385 extdata/thetasMmdlChange/test.mmdl
4216483a0ba588b4c53e908b3e2c0375c91e76d2539296ef23cfe2f26e8c1393 24530 extdata/writeColumnMapping/OneCpt_dosepoint1IVBolus_dosepoint2IVInfusion.csv
89f766a5de5af139e74fc63e576c384a6669568e6b49fd7c386d65d999b4a004 26649 extdata/writeColumnMapping/OneCpt_dosepoint1IVInfusion_dosepoint2IVInfusion.csv
dc2f374c99b87eccf3bba67b71cf7b4a574a514afbf3141b33ec352492afc89e 1338 extdata/writeColumnMapping/OneCpt_dp1IVBolus_d2IVInf_doseSt.mmdl
02f021638360d88aaaa1540cdb9834cfcefdfb908fdc47a537cc0f9861df2b4b 1364 extdata/writeColumnMapping/OneCpt_dp1IVBolus_dp2IVInf_doseSt_D.mmdl
7d88815bfd8578b8acaf5c84746bb7fb52c68a6aad349e3a6987921ab8241792 1349 extdata/writeColumnMapping/OneCpt_dp1IVBolus_dp2IVInf_doseSt_R.mmdl
42b5eacb46b9365a97c93a9165cf374f88a86117bd64b20c85e5759a1b85a0ad 977 extdata/writeColumnMapping/OneCpt_dp1IVInf_dp2IVInf_doseSt_D_D.mmdl
a4edff71408d64532cf91ea86cc40097ba5620465d5c50a6d00e2133fea074b8 943 extdata/writeColumnMapping/OneCpt_dp1IVInf_dp2IVInf_doseSt_R_R.mmdl
bbcd7db26ef9a96480eb0bad20af5c37cd682b84babbaafa2177dcad595eeed0 2710 help/aliases.rds
8a8fdfc9a0492eaafbca15b868c5b3ad19161aa49fcad49fe57e00da04ac3d39 10956 help/AnIndex
522c28186ce0fa79fc565528669b5a0d3ae0a7fe864c85c434017b23f007ed8e 683276 help/Certara.RsNLME.rdb
9e57d30fae067d9abbe53a98c7b640355c1bdcdfbed25dd2b115c2d8ea28e008 5322 help/Certara.RsNLME.rdx
10a70d58f206013dfc5d4c1ba91c50c23fce60749258255372183865ad06e25d 2358 help/paths.rds
38eb6ba74114f695ecb589a21ca50f6c4cf6dbb3fe36e10b2cde45d309e19741 11915 html/00Index.html
3d290675266eebeba6efff07db879d699843c80bf428f9e71000e2fc6078f5db 2133 html/R.css
0c14270fcb40cd568f547e835350ed01489dbc00964a38642a87f701fec42107 5161 INDEX
60de787fd90a462c093783713d290d8e21aa2bfb8b2112b3d4cb43abf6c48b8e 14366 mcp/capabilities.json
623c09d1754ae941b2acc2dfeb08e58e6be58151b2d0f77afeb6f952cfb203d5 479 mcp/fixtures/sortfit_demo.csv
7aeaa121325a5956acf5194015a064411d84b0932c56a347c792c95bb8823f08 508 mcp/fixtures/sortfit_demo.mdl
9c90cc80eff2ac01e47fc0a46fe69cb223f8161be4d97fc5705b4f3fa8b37a78 7599 mcp/fixtures/warfpk.csv
900c2fb8e7087ec17318b0220cf19dc088be3f46ebf9d64cff8c824298be38ba 494056 mcp/kb/Certara.RsNLME.jsonl
8d90151224a2893cb7472a12ace2e1ab848e0f0729c5b0909eb2c3a49b8a3906 521 mcp/kb/index/enums.json
864c0f9be4c354c85c9f05635bceb8da4afff804da4d4911a98b9222b8a5fd58 5266 mcp/kb/index/guidance_graph.json
36ede2fee855696d55d0a3cafb9bd79f8d3bc61f4a5bb09ccb917f9017c989f6 5699 mcp/kb/index/guidance.json
f1d3098a140c89594feef2cd0e44465e39e16f086b0edb31e972446a025b585e 8218 mcp/kb/index/playbooks.json
1e84b888b019cdb3d33de56e1c0d7791a9eaad9e40137e9058b417691cac5f2d 19528 mcp/kb/index/symbols.json
9af93851a2cf686d06ecb5565dce2b514bed5cf05689dd812e07af0be1efc176 1635 mcp/kb/manifest.json
6cc179aabd83df0ea5b30c91eaaef2295335fdbf86c744396b8afbfb68fda0b9 5518 mcp/kb/schema/kb-entry.schema.json
45e4adf765b28561a216a1cf0fe04c5a6f617abad36365a48e2c326c6164f256 2069 mcp/kb/schema/kb-manifest.schema.json
429754d1926071d8dfecb81685d49b71e244a256b345d5e83c4fbed6a51c1d85 9902 mcp/kb/sources/advanced-models.md
ca814894c3c05fa10fabd93e4aa5155c4894764f412a387bc6e2653f13bd89a2 60781 mcp/kb/sources/anti-patterns.md
af994a142b3724f5eef3364e93d20315284efb83b13499d1abf9bee0f83256d0 7973 mcp/kb/sources/builtin-models.md
b703bf76efa2be328b9f6d3eee8c79fddbf1a76ddd7dea78c49ef4e5c091bc8d 1758 mcp/kb/sources/guidance/_TEMPLATE.md
1d03b9bc09c890de4e8e63449ee6a8defd3de8bb449661e640bac1efee320dd9 3181 mcp/kb/sources/guidance/00-toc.md
6fc84162dad0997c3c0905559381254c9ac5754c631a1150f3db085fd0c07ee6 2472 mcp/kb/sources/guidance/01-fit-for-purpose.md
abe2d2ecfb31c795fda4f500c06d580d94a0bb90452df497f167907dbe4f63bb 2842 mcp/kb/sources/guidance/02-analysis-plan.md
419cea67348165de573e4fe632d053676b18cad96eb6c03cf8e06ad706f8056d 3401 mcp/kb/sources/guidance/03-data-adequacy-eda.md
e57210916f1e9290b4ca470a8581d7c1ea67fae91c8ed1e85a4daadfe87f8d49 4646 mcp/kb/sources/guidance/04-structural-model.md
99507c8ccc7114945ae0f3aa5d835e8b87a39d226279781feeaca5f18c765775 4732 mcp/kb/sources/guidance/05-covariate-model.md
bb84e0ff8336a78cd518f0350f38a7c32ca01cf686ea9227c99eb3049372b027 3279 mcp/kb/sources/guidance/06-missing-data-blq.md
f5602bcc6db7c6bfa4cf069e671093a2bdc05189b03fd9b7b7dbdc15b43dd08b 3907 mcp/kb/sources/guidance/07-validation-diagnostics.md
933666c7121fd2d362e966fa2c975695ddb435fc4d87d496c4667aa4da456c60 2820 mcp/kb/sources/guidance/08-simulations-labeling.md
8f70f3efdd276ecb7808ba98ae1252c800aea58b10f6787e029fdb83796b55bd 4601 mcp/kb/sources/guidance/09-reporting-submission.md
0edede9e6fd3e44c65e0ed05e5a63761b6509f31bebb552a7f064029ffd5523d 2631 mcp/kb/sources/guidance/99-glossary.md
f572e53e0e177cc330a38e74dfd475fd47e09091c53fdbea6adeaecbe250be27 17541 mcp/kb/sources/guidance/decisions.md
dd58f65a9c5d599b6822c337d89500ca0d663ca7e94c57f77585092d7e2bd9a0 3661 mcp/kb/sources/guidance/topics/agent-guardrails.md
2d7622aae3f08135c82a248bc14d5f59816c1c7c5668badaef1cf59162aaed66 5311 mcp/kb/sources/guidance/topics/blq-likelihood-and-methods.md
eaf73039cf5c28802e813d9642d4b14ffb5093ed2f2424c66393f53be6898770 2136 mcp/kb/sources/guidance/topics/covariate-prespecification.md
465abc87ce617669b4d4218b3a9c7a6ac0618e354a2f5c623f6ccc5a55855fe2 5546 mcp/kb/sources/guidance/topics/frem.md
c8550d4432adb1d7ba43106d3ba349528f70b7efbeccbde0839ec477732ea501 2128 mcp/kb/sources/guidance/topics/missing-mdv.md
7ef8192c81c4c068f109c41b2823f95046948e7de63b55281cc7473da86cca34 3611 mcp/kb/sources/guidance/topics/model-stages.md
55e574749d2f997dd84516bdf3f4f301d56bc4d920835678796f5a03e3e9684f 2338 mcp/kb/sources/guidance/topics/modeling-log.md
0789428509c9b535d5dc4a10fae08b2dc4cc32e00329bc2f6883c2c60c51cd41 5269 mcp/kb/sources/guidance/topics/modeling-report-structure.md
b5019cb109188a6a1437a7b32bac159c859712ba3aa125068778e788c556c048 2080 mcp/kb/sources/guidance/topics/outlier-policy.md
48665f03b60b44e5bbf434a11ba2adfa0ec185bcd5a1d07c2081b42a68659462 2872 mcp/kb/sources/guidance/topics/pirana-overlay.md
92b8c5cc128dc3711970411a8dbd392752d7eb1ec430fa3531f1043d098b9df0 4687 mcp/kb/sources/guidance/topics/project-layout.md
570b16d85180df1bfa5094cb875c5396691a7814a3f7c1ec9dbea0f82c4bb2a3 5331 mcp/kb/sources/guidance/topics/protocol-review.md
2f5e02ee604159aa22147d342e9c795ef901000582f2077fdbb77f54ae3984ac 2185 mcp/kb/sources/guidance/topics/shrinkage-and-ebes.md
cd7f70b5a1d92d57526b76df098be1eb536afe93ade569807e5ace08b1bef310 3529 mcp/kb/sources/guidance/topics/vpc-fit-target.md
7d6d3c5a4256d43776997c40df52e690ae26ff1cc0c74325f41d2e7c27e95b16 2719 mcp/kb/sources/guidance/topics/vpc-stratification.md
0ccdab93815cf52f9aeb541a7952774f33de8edfe5051c3e746397321affdb0c 3736 mcp/kb/sources/guidance/topics/worked-example-oral-1cpt.md
3531a6db6c0e2e08dfcaade1ddf84542725f0b71224bbff25ad3c605a5f98cb2 6030 mcp/kb/sources/mcp-analysis-plan.md
e271e97b935a1e6fb50b30b5410d380256a52a165d0d6ff6cbbc6f3832ca0d57 2222 mcp/kb/sources/mcp-compare.md
88dda5d44b5349133e37cad51b9159cfa03c98ae3d1294f4f7eb276cb6abdc5f 5407 mcp/kb/sources/mcp-covariate-search.md
accbf5812a259e9e2118d1ec1a85166dceae96787a5c505ee2e3d5ae9eb9459d 9543 mcp/kb/sources/mcp-data.md
c9e241f6e7c4a78dd8a436a83df9c3f7316244b557bba3b99053a288524fe972 14614 mcp/kb/sources/mcp-fit-spec.md
f835a7a414955c73943cd0face1d6c091903f9ad3380aaa9d996547b5dd00268 1748 mcp/kb/sources/mcp-pirana.md
12bfc15c54beaab45ceb40db9e5d7febe68bc22509f247692a785fe5a8f8c85b 3211 mcp/kb/sources/mcp-scripts.md
cb917dde7c28cce2ca57f0c6a144934eb6ef92508ba9314fcf8a9cac008239f1 1906 mcp/kb/sources/mcp-vpc-summary.md
c4d5ec09b9e2a42d8927e4031c1c503d44ddc6c386c2278df56beafff4295330 3291 mcp/kb/sources/mmdl.md
4a920427c88b4021d16f4af349f6decf6c1d41bde0da5a26260158a58919923d 24032 mcp/kb/sources/nonmem-mapping.md
5a3a2aae8e9c9367f2c9365ae33695d5cdad522acf34697de8cd55add252c7cd 12421 mcp/kb/sources/pml-authoring.md
76a2a16544f5458fc2a87f3fa239cf47083d642c0717f3d8e2a8892d9c3b5c50 41473 mcp/kb/sources/pml-core.md
69009d31e362ce097f10097eb8874c70fb20a55b0acd8d2eece6ce47b50d19ec 4672 mcp/kb/sources/README.md
d767d3e9b33c95759737970c8c0ba4a97cc5050a0c1da3a7a105167a0e4c015d 80071 mcp/kb/sources/rsnlme-workflow.md
868212d2b4573ffda04bf69d4ddfd4ccb7e553b97e741ca7a52e984c06cdf72f 1699 mcp/kb/sources/style-preferences.md
19d6161989ce61b8967834943c10aea02dc7378bdd09a3fb34dedd7e9de59a55 4073 mcp/kb/sources/tidyvpc-bridge.md
75a92fe3b1923366f3cf3a505690bd19815065eb37c7da8d74eb8781a3b7baab 4838 mcp/kb/sources/xpose-bridge.md
ff94feea15410274f76262c24597fc24bb904d3d25cbe8c16857ab9f77c9261e 15703 mcp/schema/analysis-plan.schema.json
546bff6289ea209a6598b3834597ad21af3ad0eb7c41baf9c3bb6b5fbfd10c09 8129 mcp/schema/covariate-search.schema.json
1d3482253e73cd4140ba4d69852e80876532c1f053e247662099338a34a67943 9799 mcp/schema/fit-spec.schema.json
7bdb1625d24122e94f7f8e7129474ac9c094a336ca57c31149f4418c12e9d919 6431 mcp/schema/sequential-lrt.schema.json
87d75424a85d179fc276255dc07e5a78c7fbbb10d22e7b794d2f0f1ce003d7d7 2304 mcp/scripts/bootstrap.R
58856306147d929bd4b9597dde8187e2fa6563452cbf9fdaced82cf0130f1d47 1696 mcp/scripts/compare_models.R
d80226d4a4cd74903973779ea113f704b2bc25de1beead80a5ec7cca5a6f854e 4284 mcp/scripts/covariate_grid.R
90cd29467a2e0d6f39df8eb48b4283949a2511bab2a1a10db29651bdba20dbf9 2799 mcp/scripts/examples/build_and_fit_pk.R
efb82e754a9956b7f36bf7ad58fd7cb07eadccafe456172c4e159a47aa16e226 1112 mcp/scripts/examples/build_emax.R
4ea8f7c796b8c97f6203564b785c148dfd4d3c9804d3dbb6f5a0a280fce44e24 1274 mcp/scripts/examples/build_pk_oral.R
0e0e4d30a6e8acf8de4fa6127e33a429a4eb28883bfccc9c1d828f1bbdba3816 1236 mcp/scripts/examples/build_pkemax.R
d11fc5f27cf2d202a9609048d5a034cbb0272f87f960b2312a9e179425251731 1221 mcp/scripts/examples/build_pklinear.R
33dd58eaa7cfd566cb4b5f2ceae4f60ed35a3f3db602872399ed440e971b6bb8 2788 mcp/scripts/examples/build_textual.R
fe2641d0820cacdf584242dbd907f8dab16a1cfc33f88015fb9d49fc225c1c98 2250 mcp/scripts/examples/prepare_pk_data.R
b893f00d09266cad6996d016b36c89ae63b5cef87c9bc07e8848fc39ae86141b 2228 mcp/scripts/naive_pooled_fit.R
f60599d2e28b7c7a5661b36251d267841d927af4d9c33160ec6b7d49a14a23fb 2084 mcp/scripts/population_fit.R
39c7e215cef95222cfe7d345fce17529fa71616d2e63c1303d4d3d6b28279706 2979 mcp/scripts/README.md
f0c2023c4cdfc02690523ec6376edb622d8bec42d4b09e9be27c8eaa47e4f28a 3386 mcp/scripts/scm_shotgun.R
ffd0a0c0b79d469678bd08218bc211e66320d9da820fb6b4fb390300b5e19e1b 3520 mcp/scripts/scm_stepwise.R
7f888db5430b6f9db3adf588da232c39be3d7fbcf3a5ac13e68bfa9c0d3ee609 2080 mcp/scripts/simulation.R
1a8a16705361fad1a0f5005436f32c30cdd5e937be99b099b1e7de4dc51846dd 1431 mcp/scripts/vpc.R
02fd2db7d95e02c44f198224a79b18c5651dc693231a0f82fb8517b307b5dc8b 145 mcp/tools/manifest.json
72627b2ac768f57130a1192961d59eaecb075b61b4ed55f375068ad3d9e50dd9 248 Meta/data.rds
b4f074bc0f45cfe56d976c0d67a1453067f4b34693828ed02d674a6641b3e332 123 Meta/features.rds
a798ff2fc314d64c0abb6326a390166ae2b384b90d43a5ce489e8de5010bd964 8248 Meta/hsearch.rds
233f42fa5ce8dfdd5568f28bfb5916378425bed5177beb800329a2fbe6d56eb2 3789 Meta/links.rds
249bdf268ac7281af69992335fba7869be4b217bcba224b6ad04dc846394ee5f 1895 Meta/nsInfo.rds
fa15ebfa21846de3a6c37893938b65d3c01dc613aa09210537fe5c14324d616d 2737 Meta/package.rds
23008d341f544fc01d20fcf823d3e1a04a457bd8b4391ff6b629c1f3a50a02a7 8689 Meta/Rd.rds
f4b456eddc1bd49c4a70bded3fb1f779bf181620aa5d4a0f83bb9bce2a9fbc89 5411 NAMESPACE
570ca456b280cdeb201ef5ebdf22dc8f80092e2c0c68e33c7f73340e420f3759 1058 R/Certara.RsNLME
ee614164f698b11902ffabdd8a5665cbe1dcdd860f349efdecc9a8acea7eb59d 2185858 R/Certara.RsNLME.rdb
f9bf6403097ab79fb6df745888393da49fcd896274f174711984c31d030a4e0c 21019 R/Certara.RsNLME.rdx
8a5df16e3a334cb970cbf164cdb601d75dd2ddb4740bf32e2d38e8505c9a91d6 5148 README.md
b2867553df490a7c06847a8018935a844052c3fa99d60149a64207ab94f18834 19115 vignettesdata/OneCpt_GammaDistributedAbsorptionDelay.csv
34e524d39c34f96cf4207990d8ea3bb091b1666c1bbf622c74301ead4bd0532b 20260 vignettesdata/OneCpt_IVInfusion.csv
e23bbf70fbd15f43788ca1f969dac9a89e3712bbb2afc3b1e72cbb7ed855be8b 725 vignettesdata/OneCpt_IVInfusion.mmdl
da75c78e0bbd984972702701243f85d6b95fd684ae2952606e4eb172533633cb 116500 vignettesdata/OneCpt1stOrderAbsorp_Emax_CategoricalModel.csv
5318e137552156eb823d2d1a9fd4c514f6081df59defa856ed5e43b322bd635c 1747 vignettesdata/OneCpt1stOrderAbsorp_Emax_CategoricalModel.mdl
