fb058f18b71271426f8defc06b9e2588 *DESCRIPTION
6b26cd956da6d2f3dcb4cbf2cbc6d5e3 *NAMESPACE
117a067dab7665c8aaea4ace4cce3a60 *NEWS.md
d6f4cecc341eb2e875a81fae89431561 *R/data.R
0e8a0867ba1d2e0415857c3d5bedf5a0 *R/samplrData-package.R
b1b941c6c09b31f3e1a29caee8f48992 *README.md
4a13ca7f2002bfe64a0dbcc7aeac4fbc *build/partial.rdb
a0ac177e52d04e6230f0936813c724b2 *data/castillo2024.rgmomentum.e1.rda
d653f116759b6ac4d07eb13a22f1e307 *data/castillo2024.rgmomentum.e2.rda
3c8b98b7830da8a2b68af49ffcceafc8 *data/spicer2022.anchoringrepulsion.e1.rda
283f480bf92a64ca871fb9fae70cd460 *data/spicer2022.anchoringrepulsion.e2.rda
5c1ea76d2d82e49652c6e00c4c4a72ce *data/spicer2022.anchoringrepulsion.e2a.rda
a2e28fab0dbe507c0eb90ac44ad70e37 *data/sundh2023.meanvariance.e3.rda
67d6e29bdb83e6d835741bac3be6e83c *data/sundh2023.meanvariance.e4.rda
d1a7a5ab2ed4b154e5dac4f10982e0e8 *data/zhu2020.bayesiansampler.e1.rda
767dbdead0ab000387a69fd3451703db *data/zhu2020.bayesiansampler.e2.rda
3cd466aedd521ee122cbdb6f834fab26 *data/zhu2022.coherenceaccuracy.e1.rda
9453fc6f0169ef897e69668173150ea5 *data/zhu2022.coherenceaccuracy.e2.rda
8fd3fc1014973c4037f8d25da5ab8880 *data/zhu2022.structurenoise.animals.rda
f88f3a85ea1f80a3fac6b278da38a21d *data/zhu2022.structurenoise.time.rda
4c3d7e8372d7303163db087d6ff28cdd *inst/REFERENCES.bib
f657d51e52fcf6f039fb0c4553405b35 *man/castillo2024.rgmomentum.e1.Rd
52553c6018a62d9aa530bb235001a87e *man/castillo2024.rgmomentum.e2.Rd
502a5f8dd6ba90060101596366cb7d58 *man/figures/README-pressure-1.png
c9f83eda09055185761acd4858007b1c *man/figures/erc.jpg
1fbd9929d355914ec6d94c2a8b7f65ac *man/samplrData-package.Rd
cdbdc90afaa9fdbfba522733e6cede45 *man/spicer2022.anchoringrepulsion.e1.Rd
bc80d4a8b86e89d5329c24af9600e6e4 *man/spicer2022.anchoringrepulsion.e2.Rd
0e0729e8dda6ab7dfba4ad4fca1f39c7 *man/spicer2022.anchoringrepulsion.e2a.Rd
01680478e1608a1580739dfdf279258a *man/sundh2023.meanvariance.e3.Rd
241fd83f7fa5fe11f0294b54b22a3101 *man/sundh2023.meanvariance.e4.Rd
70186dbe9c5cc3c42247a2581f5d3c62 *man/zhu2020.bayesiansampler.e1.Rd
4fab3d7d7a72086a20fbe55b5b255e40 *man/zhu2020.bayesiansampler.e2.Rd
846b353a07f1220b0281d0c7f189ddb4 *man/zhu2022.coherenceaccuracy.e1.Rd
3a59a07d32d082a432966101156b1ba9 *man/zhu2022.coherenceaccuracy.e2.Rd
c0b62dc0792eea952f9075b0f303bbef *man/zhu2022.structurenoise.animals.Rd
c4db53dff5def87b95b2a60d745eb002 *man/zhu2022.structurenoise.time.Rd
