ba6df65f5219308e829a5a37358acdfb *DESCRIPTION
aa387bf5395c434a7612144ad4b392c3 *NAMESPACE
edae08e1c175842c9bd422bf45ce36b5 *NEWS.md
e59aff52053423c8b2c70c4cdde10cf2 *R/aov1r.R
a6ed632319052bbf07084cc58eb6aed2 *R/datasets.R
d41d8cd98f00b204e9800998ecf8427e *R/internal.R
8e43fa5b643f522ca7c0970d75846536 *R/pivotal.R
b20d599f75040f7997536bf54c81f8f5 *R/sampling.R
8729aeab367731868d686930938d8c7c *R/zzz.R
dae8cfdefcaef5900229e63f233fbf4b *build/vignette.rds
3a78739ba4d05f9fb3de30ca5e1519d9 *data/KM41.rda
bba4adfa3cc0cf501c6eb49500e36c77 *inst/GSatterwaithe.Rmd
6f96410f06613c11d65fb54f14509f89 *inst/KM41/KM41.R
e0d6259481a6936f745b64e252f504d9 *inst/Notes/AOV1Rpredict.Rmd
8459218b6176947b4dac38009e3d6caa *inst/Notes/LinLiao00.Rmd
cecd295ef206402644814d28e382dbc0 *inst/coverage/coverage.R
b3cabf28bf053ac4d41d528a75f29334 *inst/doc/using-gpq.R
3959f77932d61822ecb5228541216cc1 *inst/doc/using-gpq.Rmd
7767b1fbd43bd9350015567611e5c997 *inst/doc/using-gpq.html
dafee1547c1e25a843ba659463d77312 *inst/predictive/estimate_quantile.R
73956b1424d4f482b9f083e20d89bcac *inst/predictive/methodIII.R
3ddf86a74daad75a8ab6b141ae0cdd69 *inst/predictive/predictive.R
562f34ddbe23af1e24d6fd46c7cefb0c *inst/satterwaithe_prediction.R
0ca2f09eeace7a3818f6ae7ac6c4ce15 *inst/satterwaithe_totalVariance.R
a231bed463c22258d994c8afc8c2c43b *inst/sumsofsquares.R
6deab3a4a60300d6a2cf2522eff77bc1 *inst/unbalanced/unbalanced00.R
ff6e09eb9f88ff14719297ad3e7c9713 *man/KM41.Rd
9cc94752e9f6fa41bf7c32eb4e74a591 *man/aov1r.Rd
b643bb5e3c7d4b55c41fe17dd7e8db5a *man/confint.aov1r.Rd
91557d20da1856100e3f53c6a4098a43 *man/predict.aov1r.Rd
2f0ba40bdfb9da564c0e8cfae5fe94d3 *man/rGPQ.Rd
2f6797b74513ce2ad25aa0ab63b97be8 *man/simAOV1R.Rd
3959f77932d61822ecb5228541216cc1 *vignettes/using-gpq.Rmd
