4a574875c3010c22b984d085025a39f3 *CITATION
62cd75a8fcdc17f20ea9c42c34f448e0 *DESCRIPTION
1060f3bd66951787321960c5b444967e *INDEX
0ef92b65ebadfc0e44afccb3cf9224c8 *LICENSE
8b6e5d0d10337db880e0063c91014258 *Meta/Rd.rds
2a1b4c9c61d470f0831bfc5c34b61cdb *Meta/data.rds
8bd78fe4d71c3aeb1a0f4982ee51622b *Meta/features.rds
5407391b154d556da7c91f5e5e38c053 *Meta/hsearch.rds
6d2e4d4b1861f9b4c05a1910a93d4664 *Meta/links.rds
d6c8cbb34c024fdfb6635778bc1a7f36 *Meta/nsInfo.rds
f96f009edd65f59a96ceaa4beeb9f352 *Meta/package.rds
ccdb473c5c82071af4ae342d3693f627 *Meta/vignette.rds
49f4992e72606b59cc6708d0810a1395 *NAMESPACE
b664307c089393c3f54eaf25e70c667d *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/LLMR
1e6e5d38c1b8dd1f040ab6a13ad0744e *R/LLMR.rdb
16f8c01d1a32eafae8bbf5872518462d *R/LLMR.rdx
4530ffb9783f14892c14a82b6641fcc6 *README.md
76b37227a49fd2f66c01a513e99af7d0 *WORDLIST
3b4b8b7fb45d11d1b199ea685db812ee *ai/LLMR.md
7b6e2d97bb19ee38a4f7521861eb92fe *anes-data-prep/make_personas.R
93df9955778b320b6ee54901d65e20c5 *anes-data-prep/persona_spec.R
77481de9261db71475fa5d05f83d7bac *data/Rdata.rdb
c368e6cf3fc2809b7b966e68532390e9 *data/Rdata.rds
16fa3e07ae8f4ffffc56a35b1dc61ecf *data/Rdata.rdx
70836bced08d6c6b300a32aa9aa13e65 *doc/about-schema.R
118a4b64a98e0f95029ceb8d06eda8dc *doc/about-schema.Rmd
03d1dc288381b7e285df79b0346f27b5 *doc/about-schema.html
3cb1d9e5bbfd2beebabdefe9047de42d *doc/chat-basics.R
6a33cdff37f97022137f40bf89d713d2 *doc/chat-basics.Rmd
0cc61bce41e7d0090a3664601cbd765a *doc/chat-basics.html
1110a057fd19bbeb6ea9091b43a0a581 *doc/experiments.R
83a9c0dc9bb60d287d409773e66611e0 *doc/experiments.Rmd
6f11bb64047d5147175a2fadfc7e340e *doc/experiments.html
699348a68f5cff9bec680e0039d8a7f3 *doc/index.html
2fc15d9bb6e1b821af147e260d8acbbf *doc/interactive-calls.R
b77c269d396a08576d7ba038263ad9a6 *doc/interactive-calls.Rmd
a82b0e9131df7ada50180791a5e79912 *doc/interactive-calls.html
d88fedc9a7cdd235716c68dc1357bdc2 *doc/local-models.R
8992182d0555d5c5aca6a3ae484eb394 *doc/local-models.Rmd
a36cd52200bdc4078fd2759c2b77adfb *doc/local-models.html
e8681a45792342642c7cd3f58d83d569 *doc/presidential_embeddings.R
2e4ee20a409889ece85c04657ebfccde *doc/presidential_embeddings.Rmd
89b22e2437c2b3f42ceefb468d0208f6 *doc/presidential_embeddings.html
3befef175da2bed844d9a006e02edf59 *doc/quickstart.R
ba8cda2ada197b9827e5892ee9df345c *doc/quickstart.Rmd
8977267dcacf33d4b12b11ebfb490256 *doc/quickstart.html
3447fad88095dd8c86ce2da08dac94bb *doc/reproducibility-and-cost.R
9002435c4a46ac9d1e92f9a0295d7b82 *doc/reproducibility-and-cost.Rmd
3832e1585f450129762c385adaa5943a *doc/reproducibility-and-cost.html
4fd68ce2410bfd2ec6836023561e12bd *doc/tidy-and-structured.R
4375a9a028ed9ec32b415f06b5fe16c9 *doc/tidy-and-structured.Rmd
319d655b165e44d783ddf62728e42177 *doc/tidy-and-structured.html
905cbfc74515e3bfbefd1ac7f35fbdd7 *doc/trolley-dilemma-experiment.R
4e796a37895585fc4fe5c89585b17e4b *doc/trolley-dilemma-experiment.Rmd
4c1507487bd8c9bea07677bb351caef5 *doc/trolley-dilemma-experiment.html
ad4eceb32f24bde4e1fa42e6998fe900 *examples/JSON-Scheme.R
06233d21d781a1d796eecd56aa051870 *examples/LLM_experiment.R
59e7a8bbdce5250e5652ab26ac9f8cd0 *examples/demo.pdf
21f074d193fdd1d9ae00407c01f2fcf2 *examples/demo.qmd
2f236dbdb12b6636f7ce362876a2818e *examples/figs/bar_favorability.png
6c044f37557881ca04d4e77a47a0f325 *help/AnIndex
2b5ce063d6dd56f338085a6dce4edb43 *help/LLMR.rdb
d6abcd39e5e85a5e66844cfdec7d6c09 *help/LLMR.rdx
6eb28496283330791ee5d14aed41f37d *help/aliases.rds
c8b9580efb20c522ce03fd22d656600f *help/figures/logo.png
62a99a79ec78089ed3f512504487ac7b *help/paths.rds
c82d8ad206462f51ef1a7a58a8ca4a7f *html/00Index.html
ee41876c0116916bb04bcf4fe3e43d78 *html/R.css
