2281bf68856c70d2f489a68592a45748 *DESCRIPTION
b26e7c289276501ac90026acc326e4f3 *NAMESPACE
09eeea1ec522584529f0156f62b55da2 *NEWS.md
ca3dd904cbfbd911457f67ba8fc354fd *R/as-data-frame.R
72baeef9492a5f2aae6bc0c3ea0784b2 *R/backend.R
dcadbc7c3497e2d56bb8c4ff822ef2cb *R/constant_fit-class.R
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2fd3b436e8c7eae5e1779651c3059f2c *R/dcvar_fit-class.R
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bcbd0065c83f7d048417c31a786c5d70 *R/fit-hmm.R
7a9007de134275ecee91b503373be7e5 *R/fit-multilevel.R
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f2a58067c7066b4fffff3d90b9aee2e1 *R/loo.R
70bbb030c2d9eea46a29c6bf6f0a5cb0 *R/margins.R
4ce72abbdfb94367dea161eebd84306e *R/metrics.R
4afefffe28970e3aeb32de54b521d9b1 *R/multilevel_fit-class.R
d4426388a7b0e471e9fff35f95e6a608 *R/pit.R
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d2fcf3012df0cfb25612889f07f3450c *R/plot.R
ca80b1a24af162af0903a17144a1893f *R/predict.R
230e39563b19ec4a70e5c500f6e2853b *R/sem_fit-class.R
34a0540bba7ca2362fada7e6cd33cb75 *R/simulate-breakpoint.R
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98783f6665551e2542dcbdcb469816e2 *R/stan-utils.R
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52f9d1a3a2aa53110e42c912fda96888 *R/utils.R
c17be671d8565f8d3adb725baec8a5a0 *R/zzz.R
f9a64db40f65c03009eb475754d729b1 *README.md
c645e3358a2aae2371f1e1142df19a01 *build/vignette.rds
699ac4deae6868e0882488a285271fa7 *inst/CITATION
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