benchmarks/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
benchmarks/bench_cbma.py,sha256=OHnL2badsoUT_eQOJVRhDpwMSLrZVoyd8ihQrwMRWPI,3720
benchmarks/benchmark_cbmr.py,sha256=nqKJSVdUlHkOTXZSMIWT8PtRVItJ6NfR7e5-5AYdops,6808
nimare/__init__.py,sha256=VJHAK1jhNoV3-KV2FsZp5H-egnU_LPWcpLeXg__0fNU,1186
nimare/_studyset_store.py,sha256=P4x2SnCnd1MnRmqzf2E7DN6MgapudGCHC9JKSUt4bok,30724
nimare/_version.py,sha256=-03sTjdarn3g1CA4c3FwD2RO-kD3bQMSra5WnS_GAKg,501
nimare/base.py,sha256=ugT5njw33Y0yBvHOOI2xu702u7L3SZ4ThHHqqchY83A,7838
nimare/cli.py,sha256=Zvy5jN2KopH_MBke-gm8A0DbBZmIFGvnE1tjhbYib9I,3695
nimare/correct.py,sha256=g4MgcWJVhS4isQow54hCRiPU_5uTL6GNDKLXLzmeIdo,19544
nimare/dataset.py,sha256=oIoXMT2n7eA8NkMC4qc2u5znKN5AfKAiwznW5O4U3cg,28705
nimare/diagnostics.py,sha256=d47tkQ_X3HR7DhJGEL-kCPCx-of1GnS2lpZJCtG_bRk,58513
nimare/estimator.py,sha256=NrvE4d_3ES1Z5LAga8vPRf1-SL90C6FOxGoACybPjLs,6976
nimare/exceptions.py,sha256=gs8GBay85gx1pAV6_1BqxYfkKSj29KmXlymo6p-kV3A,223
nimare/generate.py,sha256=IfTRMINDKj1RRa6fgFqr4LPJBxUwUdsOfBcvgkyDiNE,15047
nimare/io.py,sha256=3OkbVek-sKwUPGKhbjXe0EDy3H1OwvrY2kX9vDiXHfo,84322
nimare/nimads.py,sha256=091mG-zL7Rj6dki3TFkSo1vB3wTbNUW9ddV0Xfo9iak,91350
nimare/results.py,sha256=I3m5vCIAMBzCh69hoI0xLKAS5q6OvtHHFPGwLRF8k38,10138
nimare/stats.py,sha256=AuKP9RcKaHIKfnphieOCuzSlbo15xsPGkzc_UxyI93A,13334
nimare/studyset.py,sha256=XSKvzJmzdXD5ED__PLZVrEmgBxDkgwEXh4LwVXA1R3U,1123
nimare/transforms.py,sha256=kE2ZEpDoFRC8INOuXIoCPNbKpF9rlAZJIrRIUauqjaw,45002
nimare/utils.py,sha256=gxG3wyZSYr5ee1uv21hsuxOLyBKcggD6XlOWXf0oiCE,58486
nimare/annotate/__init__.py,sha256=hTla1yFYTJ8PDjm72ReeHa3qf0Que50Ww0fqz3Z86JI,434
nimare/annotate/cogat.py,sha256=xzrepAuTkRenbECn4XYwgyul45r0tIMxCDKQV_ZFVb8,7457
nimare/annotate/gclda.py,sha256=Dwe6apidJYVuXEN0oL-KnkZ5Nqjj7D5CZfUKk6Fer68,47578
nimare/annotate/lda.py,sha256=t903hRyEdrmbagfdJK13_0Cg9zy09y5Q6o8mPmd_xPU,6778
nimare/annotate/text.py,sha256=T0lq4xYdsV0BIFUXg6J6mcGCdaa-fWxbTiNS-VnEwgw,2988
nimare/annotate/utils.py,sha256=ZJPoS-UVa9svZuv6owcnZIy_Cl-Oxgf15I2-FbS0sx0,3051
nimare/decode/__init__.py,sha256=Yp5NOijtD2Y3_sYTIarcqYIA3smFegk50k5azog8XsU,703
nimare/decode/base.py,sha256=Ls7FWvC8-wPcHYv-JwhbSIvh-DjqpLbZDZ7a4q_NNLc,4924
nimare/decode/continuous.py,sha256=bXApSh-DBf1QtidPeekug4hE0rbsdYWN8zz9poRFZ0c,23012
nimare/decode/discrete.py,sha256=JwEiWdX02fW7FDA7I7uHOLru-91jA5cIgrI33CIDowk,29929
nimare/decode/encode.py,sha256=DcrwWSPIo_viACdSizOXzI_w9_cVP3Xj6b_xMNhNqXk,4554
nimare/decode/utils.py,sha256=tpsHxhaeG3ZVcTLviWfAhVlW_Gp1_Fvsw7EEF1Q1y9M,1288
nimare/extract/__init__.py,sha256=0dnoq_Lryti2Zy1tVlILjojvPpx1j3gqN8ARw9ELP5w,383
nimare/extract/extract.py,sha256=CeMf_j611hIe6CZExCj6P9rsfq3NsOYK5fZYOaqc5VM,21627
nimare/extract/utils.py,sha256=yGhfnz_OBSJLO7BjgnX0D_PwBMJzXB5Bb3_BgyqEnvE,8994
nimare/meta/__init__.py,sha256=Q5oUbTaV8OnR8Mbyz9H8-tVdDntsHfZHttJq-o-FcRQ,1835
nimare/meta/_dependence.py,sha256=NwFtSyVnNsPCjW6rqAWznn7O25DSlL0jxmjmN2Vq-qI,5889
nimare/meta/_permutation.py,sha256=tto7ZKnLOi9SPR_cOlLJEnluYSSHtxv1yFSoVmRpIac,9887
nimare/meta/cbmr.py,sha256=I867rYJbcVqqq-CshoVbvTkzNdHg1fx9d9aAolQ1yZU,63676
nimare/meta/ibma.py,sha256=50VfhNKf2CQyf6SRV14LtDBLbO_b9gqtkk0BHYvGX2U,84302
nimare/meta/kernel.py,sha256=qutUHdLVe-C-nX-e8_Qmk0Z76f23akDNyUfzLzSN4Y0,21853
nimare/meta/models.py,sha256=LLFQ9976ROP6o2w5TapqSSFSsKYztgvaERgXZSOXeNU,56198
nimare/meta/utils.py,sha256=_47mU0GTUhYAA8-k8toDLctX3pjr-J1jSZ8-lNAJq8g,25827
nimare/meta/cbma/__init__.py,sha256=IQgC9QcsDCbRE6aXCBD6AHHtO0k1GGySoR5mgyx_p1A,300
nimare/meta/cbma/ale.py,sha256=h16U52MomrgZsHPSXaKlNPyo4EuMXqS3oSOGjgE4mV8,99344
nimare/meta/cbma/base.py,sha256=8KSgooxMtP1_zOfYa14GjTe0Mxz8rnURKWvwTUqEBvI,57772
nimare/meta/cbma/io_utils.py,sha256=Oh7er2Arvz6rU_MYZ_jdCSdApX7dPsKvNI_e4fuGOmQ,4168
nimare/meta/cbma/mkda.py,sha256=kVP_004HIsW1QltxeX_tl4mTYhDiKsS3orRJvlraqYE,74000
nimare/meta/cbma/null_utils.py,sha256=dWCwrR0P6u_CzRjL4YJVF4Rarve_6K-52QM0-V_HEiU,7672
nimare/meta/cbma/pairwise_utils.py,sha256=fDCmI82_l0cy1xOlhayXQMo71OvAbNBPJWqDrS8k-aI,7245
nimare/meta/cbma/predictive.py,sha256=aZciz8PMXyuH0XBV-iKw1svs21Ski3_b7guWg7KjZXc,4520
nimare/meta/cbma/utils.py,sha256=EnDy6DjNSZWFpUHxEwa7V-z-UQwZIF0FuZPdVvzqFLM,5277
nimare/reports/__init__.py,sha256=zGfrOPlMq2lTorKNEpyPblArFCnsvz3dRsvOHy_Ciag,428
nimare/reports/base.py,sha256=i3lugDtWuBJJwCoyQ6i3vtOPELwNlQpJ7HjLTmkuVV4,25584
nimare/reports/default.yml,sha256=zTcWUlC9ntvacMcIIUAJPoFV8XrvPGqCH2uwovwB4Wc,6003
nimare/reports/figures.py,sha256=LitNNQfz2CEnBtGQo7MlPMQ4IQM6h1w3J3qKaz53C1Q,22075
nimare/reports/report.tpl,sha256=ZweYiJF80zdaIwK1iawAl1pwmBZdPjpxXxY5C0U5yVs,5518
nimare/resources/__init__.py,sha256=huwax0KmUCfwVlxSRYS0qwmEzaAcNkNnpNbKp1K0n1E,28
nimare/resources/database_file_manifest.json,sha256=gn9aXERthi0KYzdI5cvYKcVXWG-BLa2BKNq-r2nQJAI,7441
nimare/resources/english_spellings.csv,sha256=w3CW1d2-_gCuwzB_b1YETGorg3Uvxa_sqmsaLPU81VY,38750
nimare/resources/filenames.json,sha256=eDSbduIwHXXTDVKoi8Ha27vK5U4dEiFyCefDa6bizg0,890
nimare/resources/neurosynth_laird_studies.json,sha256=hUqLogxCLtLSTuQvXXoPvX4A3v7GJWg2ZynkEuMgsfw,3259995
nimare/resources/neurosynth_laird_studyset.json,sha256=CyFr8yl7EdIYgGhY2DKh4YcaZdx1BuUY5W0rJsR-6nk,2915512
nimare/resources/neurosynth_stoplist.txt,sha256=UXkljEEDmHlTAcgj_2yMvWrGx-TcE2Fq03NhZ42JXBg,2606
nimare/resources/nidm_pain_dset.json,sha256=GgbnFrd5dbCB82OHuF8d24e3Z2jy6d1U0kWnIKccM78,40052
nimare/resources/nidm_pain_studyset.json,sha256=FajPmP6nBISIRKl_kLU3Bl9UN6acsQquR8HzEt1zE68,73332
nimare/resources/references.bib,sha256=V6JOHVBsswNcfRb4UZyFifnZTgWGU79yPo8TPlWqKfg,26187
nimare/resources/semantic_knowledge_children.txt,sha256=6cwfiV4wobblI2srW7xQldLAvhirwTkUFv_hyFutnTc,6417
nimare/resources/semantic_relatedness_children.txt,sha256=WS2CsyLd-266D5CRV1r9bF4oNSlW3YdVTzUgH9lvN7E,4870
nimare/resources/atlases/Harvard-Oxford-LICENSE,sha256=RyVRB4ZqStIhLGI1pnkd91TLJeb6JcDBpYIawVID-ak,4733
nimare/resources/atlases/HarvardOxford-cort-maxprob-thr25-2mm.nii.gz,sha256=WG12p979J4_OpNg9MBmU1-CWqoJy0m48dTm0-OvViME,29113
nimare/resources/ml_models/cFWE_model.xgb,sha256=T4H_-geiWiXRbm0cqT5Z5UKt_DMfjYsM8lap6r2g9n4,421514
nimare/resources/ml_models/tfce_model.xgb,sha256=GMupN37KnBXva65eGVYyk6SW_TJ8qpZPoAmcsOeC-3c,385802
nimare/resources/ml_models/vFWE_model.xgb,sha256=X9u5s0Aml-LTOwK5JAIvOEDAXwSn8qbTi0MkrvbK6VM,274634
nimare/resources/neurostore_parquet_studyset/analyses.parquet,sha256=fEKLOu7eo9tCpb4rSbBYUUePMtGa9ZKpv5ylDpeZpio,3257
nimare/resources/neurostore_parquet_studyset/annotations.parquet,sha256=PliPB6DveTXw72-lw9ilvjf_6hyZ06g5RX7yZD0dvVM,419379
nimare/resources/neurostore_parquet_studyset/coordinates.parquet,sha256=0HnP5VTgX1TmWkHbojGrdGA1Rl_I0EyNOqKoEUHl80Y,9063
nimare/resources/neurostore_parquet_studyset/images.parquet,sha256=mP8vIvbKwiUT2ktBZCi9ADfp2mmzHh4jK-hVOLNWmdA,3559
nimare/resources/neurostore_parquet_studyset/metadata.parquet,sha256=26VZTAPY4SK9NS9nQeQAoFrfGeX-r9sRu-vBSjZHCsE,88871
nimare/resources/neurostore_parquet_studyset/studies.parquet,sha256=F7UUu8yxkYW10AXDtr4Z2wwQTRqe8J8DQ2BsEIVERxs,4680
nimare/resources/neurostore_parquet_studyset/studyset.json,sha256=Ci2ihJde6xECOsIvGrTQ1jmIDu5DIRe6pFVeyQeSKFM,495
nimare/resources/neurostore_parquet_studyset/texts.parquet,sha256=-_ktYpoqoaxzPfFfD4Z5Lh8rNBPiXSxvUDT1BBcZ2H4,2619
nimare/resources/templates/MNI152_2x2x2_brainmask.nii.gz,sha256=uMRdu3beygznIhojNxtkq19cn2iiQnOzIW8u3CKfnAI,12689
nimare/resources/templates/tpl-MNI152NLin6Asym_res-01_T1w.nii.gz,sha256=-7bnemsJA2jbEF0cqywTq9FBgVmYuFyVpSDQl3HwAhw,10959795
nimare/resources/templates/tpl-MNI152NLin6Asym_res-01_desc-brain_mask.nii.gz,sha256=iVzB49E_oA6s8WWb6lGhCzhNi8HS11H5oeExUJGUyck,67910
nimare/resources/templates/tpl-MNI152NLin6Asym_res-02_T1w.nii.gz,sha256=Fhbpi4jAshMJbgFdEvehFGSIUZiSFUk7pXmcdsGf0fU,1405597
nimare/resources/templates/tpl-MNI152NLin6Asym_res-02_desc-brain_mask.nii.gz,sha256=XhLvc6-vjivxerhVqCyhO_Nkc64R8IiMTIl462OhpRs,12611
nimare/tests/__init__.py,sha256=U8Z9ECBr7ZMA-SLUXLZ3GS4Nl6mXtg0sl-3tj18XqmI,33
nimare/tests/conftest.py,sha256=kGtIMEqXPsoYsJBbbmGPkVGnJwmXDGtuN-Cy6mC2GbE,10744
nimare/tests/test_annotate_cogat.py,sha256=UML3tk78597jzzvykzM-vVhOkEkFKNaXxORzwonGXyA,1304
nimare/tests/test_annotate_gclda.py,sha256=Sg4xG68KPczzEFKUTPCs4KTemWLneWBF55C9Vsfe5Oc,4126
nimare/tests/test_annotate_lda.py,sha256=EFYR1iVHsLSCAiv-W1CGHJds5h8ft0b7tqGXFC7kd-A,942
nimare/tests/test_correct.py,sha256=Y0Q7OAVmyv7-6HSgKpcHhlOAgHjKA0grzcH1HZWYeeA,6506
nimare/tests/test_dataset.py,sha256=2Or9Ad03GzRM7HLiuQbKjAeYGeAINcC8RrWZDOtNEzI,8060
nimare/tests/test_decode_continuous.py,sha256=2FC_hnqkWkXycP8KiszmfB-0sHFIk6Bt6RHpZJ7ylKA,8520
nimare/tests/test_decode_discrete.py,sha256=NL__uEvMori4HtmoZUVdj465lW4Qwr4ndgyOz5rB7dY,3293
nimare/tests/test_diagnostics.py,sha256=ThD0yuAjcChJlE-yzVFv0-3lBYLC8_hLhEXArzY3BmQ,22605
nimare/tests/test_estimator_performance.py,sha256=koCTCxoUM9-aEkL3rN81s3WMgHbPuOYRiaBpZ-VhKTE,15336
nimare/tests/test_extract.py,sha256=j2MYjNuDIuexNFnHd1hEqXU-drWp_s20q_Z0Rrs36Tc,6301
nimare/tests/test_generate.py,sha256=j4xQBvhgirGCHFPavi31prMEQZvfP5jpOnX8A1bDKnE,8290
nimare/tests/test_io.py,sha256=AOZcdwe0l5e3cnd9RB6oCbz5V8GQ2sp7383bwzVtTLA,34672
nimare/tests/test_jale_port.py,sha256=XixgpuwZ8GFACJvNoDksV89by_cvdG3lr3ObyHLZNms,17604
nimare/tests/test_logspace_p_values.py,sha256=j-LGTXrLrI6sm4Ne28ybSPWSNtTtvUFtxjJ6X2A1TFY,2989
nimare/tests/test_meta_ale.py,sha256=Y_Qxpn0ByF4YqHXKX-FPCWgkp7uIMo95JAeXH5GPRqI,57681
nimare/tests/test_meta_cbmr.py,sha256=NhI0ZIHg-nfWhSdmjLdbeg66OsiDBzod4DR0U5GxuAU,32431
nimare/tests/test_meta_ibma.py,sha256=bHE-edGQaXxBYmyv1n5maG4DwFKoHrwovBhv3bLS7mo,16268
nimare/tests/test_meta_ibma_dependence.py,sha256=ITteuSsuGg3dgYzlKHRD3b-uDDC30uod8rSAioffOFA,45891
nimare/tests/test_meta_kernel.py,sha256=TX0UGroZqCikG97TJsjDngLEzA4aiBtv4Prxh-Jf_4o,9140
nimare/tests/test_meta_mkda.py,sha256=bvhTM64hlkobTnqYRghWKXvAHM_7OKHi9_jgqFA8wf4,17551
nimare/tests/test_nimads.py,sha256=7KL8EIwIG3zEuQU2mINVoqK9R9VmgnCX88knIv7JEFI,20631
nimare/tests/test_reports.py,sha256=LGjKRI1y-Of7iPoE5Pbkmj2l1kp7O7jaXiUWqdF4P60,6683
nimare/tests/test_sleuth_conversion.py,sha256=OIfFo0XkLd5Uub2YYba2HB1NE_gAsCG_PYrMUDMcJ4g,14795
nimare/tests/test_stats.py,sha256=Z0IWUmsJqjQR4cgElVHI6j4tZCY-nLaNI5cCg5UgJWI,7556
nimare/tests/test_studyset_execution.py,sha256=T65VsdfsgodPT3FsgSSjTjcwwbUAOlltuP03h72Y1_4,26880
nimare/tests/test_transforms.py,sha256=dLomtsLJRA-27-16zjle600XqE2-va5NaL9d5t4rqD8,22912
nimare/tests/test_utils.py,sha256=8HiHmo9Yj-0n_Cf8grXxWwGIacQxw7tIpPT2jNzZXs4,15429
nimare/tests/test_workflows.py,sha256=dAaIApslwaZVpRCS3NsMKr8RFNrD9DLJsEehLfeJUWg,15704
nimare/tests/utils.py,sha256=Tgpsd-i62Sd5bIGXkum3w75jJerbFPt6AT982g_fjC4,5620
nimare/tests/data/amygdala_roi.nii.gz,sha256=NtAohgCrSOC4e7whGlj4wdUMBgflffew0ai8hHUCr7w,4294
nimare/tests/data/data-neurosynth_version-7_coordinates.tsv.gz,sha256=UUdw9Ww3BisMeLzl36ZYDSVQzmtb3mI4K404CsW6wzE,8671
nimare/tests/data/data-neurosynth_version-7_metadata.tsv.gz,sha256=JhYk3SpLQBiV68YKwruakoU9VhHSIFE8jlv_XfkZdYQ,2111
nimare/tests/data/data-neurosynth_version-7_vocab-terms_source-abstract_type-tfidf_features.npz,sha256=O-S3IaiW5yrmuFt48eBsTlcSP9n4vvjW-Xm_HJHMURQ,1442
nimare/tests/data/data-neurosynth_version-7_vocab-terms_vocabulary.txt,sha256=kHoh4eWQ7HublY9I2WcgQfgkPm9kj-9kUGw8VI56UKs,599
nimare/tests/data/neurosynth_dset.json,sha256=eugKLeHLkvNJ5jgEn_k89due0KZl26sAG16HKV3pOWQ,88598
nimare/tests/data/neurosynth_laird_studies.json,sha256=hUqLogxCLtLSTuQvXXoPvX4A3v7GJWg2ZynkEuMgsfw,3259995
nimare/tests/data/neurosynth_laird_studyset.json,sha256=CyFr8yl7EdIYgGhY2DKh4YcaZdx1BuUY5W0rJsR-6nk,2915512
nimare/tests/data/nidm_pain_dset.json,sha256=GgbnFrd5dbCB82OHuF8d24e3Z2jy6d1U0kWnIKccM78,40052
nimare/tests/data/nidm_pain_studyset.json,sha256=FajPmP6nBISIRKl_kLU3Bl9UN6acsQquR8HzEt1zE68,73332
nimare/tests/data/nimads_annotation.json,sha256=yTrXDjG4HzROStedJ5-TdKESw15Z9wIIMqtkK6VTuY8,10176
nimare/tests/data/nimads_studyset.json,sha256=GHL1M3QX9-KIyB6aDL-IHSlw3Lci_nYqoeaKQ0V3ZxU,84642
nimare/tests/data/sample_size_nimads_studyset.json,sha256=oRwIUNZqY2cfv1awAYBIInSJeNgZ3-iPqjEV9xDk2aw,53884
nimare/tests/data/test_baseline.txt,sha256=eV0swadmAIByXhWqPQXWu5m10tW68eI-a-QMqvJG3z0,150
nimare/tests/data/test_pain_dataset.json,sha256=R45grhjGmAw7gjetptTUmsx4V49L2zDk_nzgh8RAj0U,37275
nimare/tests/data/test_pain_dataset_multiple_contrasts.json,sha256=FFJjSizKozF7n46OWjF-vSFNh-P_YReBTcaYQcCVzU8,36733
nimare/tests/data/test_sleuth_file.txt,sha256=-tmQTER11JVg-JNVa0rt9NPLoK7SM11I06Dnwg8qbJk,296
nimare/tests/data/test_sleuth_file2.txt,sha256=HueaYkM47xXLewfohvH1lrV1dAf37MU2GV3K7zdyDxI,173
nimare/tests/data/test_sleuth_file3.txt,sha256=UuTnokCy1oJz1_Bw6TMu49ZSroK_ony2UmbRE18Cw2A,95
nimare/tests/data/test_sleuth_file4.txt,sha256=f87QglZBjK9JFJRbNipRX_YOXVjWLlTQ317r5MK6DwQ,90
nimare/tests/data/test_sleuth_file5.txt,sha256=BCCAz8LGDdJUKUBbv-6btzvB5StlQhGglA89EeEHXZw,88
nimare/workflows/__init__.py,sha256=r18wu2vvH_5SRM9icrckWW9F44nlKv-l_vQLwHK7hVE,368
nimare/workflows/base.py,sha256=SbyfwbNmJC_YmqwAWyfyU-xomciR9WmlxeSLsyjqztw,12370
nimare/workflows/cbma.py,sha256=KsZytWf6ImyWr0c4ONkfqBz9_OQ3vR4W8E-jw4ZsWPc,24713
nimare/workflows/ibma.py,sha256=I44OTWS7utAoZfly4pZFOyWIjKNeIptSVEuK51m_by4,4673
nimare/workflows/macm.py,sha256=SeXjaArUAmedjSyZDklfbWB51b92iZtHlxogGgAz30M,2867
nimare/workflows/misc.py,sha256=0XVzl0Hy7aAdd2DHb6gROf9LVhGO4RmctnaHta7SsJs,1967
nimare-0.21.0rc1.dist-info/LICENSE,sha256=PWPXnCGWh-FMiBZ61OnQ2BHFjPPlJJ7F0kFx_ryzp-M,1074
nimare-0.21.0rc1.dist-info/METADATA,sha256=pJpNEJte3Klcix7jArk9LCkLlN7p-BEwyzO2sHTpc2g,5314
nimare-0.21.0rc1.dist-info/WHEEL,sha256=EWGgdj_eH-g9dwsWZOTG0kmGucEuKPxGzOKD-jAVUHs,92
nimare-0.21.0rc1.dist-info/entry_points.txt,sha256=3w_hk9N2PWnKZkCaJyDlc0_kdn3rh35aiI21rSdvsuA,44
nimare-0.21.0rc1.dist-info/top_level.txt,sha256=XnOcEXMs0BxdI8t3_ksTl96T8hykn9L7-bxLLraVrTI,18
nimare-0.21.0rc1.dist-info/RECORD,,
