b87a31f15927ab060fd76966ee45b2f5 *DESCRIPTION
c0a4501a2d135697afbbe6164db4da9e *NAMESPACE
dca7715e7f1b3266c69341d3a79fa45d *NEWS.md
2a7da3a5929f3090d62e4e156e538934 *R/Effect.nestedLogit.R
51a934611baa0390080364a94d006ae8 *R/GSS.R
dfd74b47c88b7d1e1b35952339906b91 *R/HealthInsurance.R
189a07012c465bdd3127008122519841 *R/as.data.frame.predict.R
fe99c4f78f5a1aa33e1e989988ac66d6 *R/as.tree.R
3341dcdc4a0827bf15a0413302aeb0ee *R/broomMethods.R
a939c7d2e9e84634d7bad943dabdcd83 *R/gators.R
e132845d5b2dba59fb65a5fee69e3ab2 *R/models.R
81292e05112f1a2dc3c6c723ad838a50 *R/nested.R
cc1c4283b6b45c870d35ed057bd56601 *R/nestedHypotheses.R
e8befdb774672a09faf8be5815298166 *R/nestedMethods.R
d814ed1602fdb1685def3b89d551bf1b *R/plot.nested-ci.R
ab3f175e122846bb08ee0b69bd30d108 *R/predict.nestedLogit.R
d9782a6fa1476feb42a89caaa2ce678c *build/vignette.rds
d6f624ca48ce9b50b05628dc90d7c067 *data/GSS.RData
47adab3ea6ddd61daef285b2ff43b250 *data/HealthInsurance.RData
32c23d26d75c0bcdb400c6610eed0f54 *data/gators.RData
fc0a3049b788900f56070b5dae77fa8e *inst/WORDLIST
e9108fba64b91702d42017531a589dce *inst/doc/ggeffects.R
a26987b6d8cfc26db16d64fd9faa25c1 *inst/doc/ggeffects.Rmd
0f365bc7dee0651b44cfd75f5d47307b *inst/doc/ggeffects.html
3efc3a131e09863ab871849903fb97bb *inst/doc/nestedLogit.R
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8f3ef693848b9d3bc6e3e4e2da40f16b *inst/doc/other-examples.R
0f658fba8b6fa5fa1834d4b5cbf78a4b *inst/doc/other-examples.Rmd
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2c9516d35d24ee732d50c0e023db135f *inst/doc/plotting-ggplot.R
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1b4ec042279dce907ddd697e26138f12 *inst/doc/plotting-ggplot.html
6b25afd22801b94c90148032d4436faa *inst/doc/standard-errors.Rmd
8e0053a11fc7ed425c912e51d8155780 *inst/doc/standard-errors.html
b5fc1ba211de2c488f610543fd088685 *man/Effect.nestedLogit.Rd
36d9dcb68ec1fa37712bed5a213776f3 *man/GSS.Rd
4343f5f8d8986d933377c676c558578a *man/HealthInsurance.Rd
859e5440d5774112bed7ecf9b96aa6ac *man/as.data.frame.predictNestedLogit.Rd
c7ea80acc863996cfb52a1d8b60773db *man/as.tree.Rd
ce4c8ab87a20251367a5f47f4c974655 *man/broomMethods.Rd
5bdb1ca4145d7c92ea7f06aac429a0f1 *man/figures/fishing-trees.png
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0b71e3f814ea54a3ce29737fcabfc981 *man/figures/nested.jpg
36e478c4ca4038455a7eadc65fbf629a *man/gators.Rd
7509be59e6392d90e71ca5d2294f6ee3 *man/models.Rd
d6585a335771bcb1e5e1c68ef82a2a7b *man/nestedHypotheses.Rd
a25afa2f494e61f05dc4e9adc32df5c3 *man/nestedLogit.Rd
b4227cf3b902c96d5d59f75af0703398 *man/nestedMethods.Rd
e5e88c31f79fae9dc657d70bcb378b9a *man/partials/methods.Rmd
dad296ea94fad48390efe5796cb4886f *man/plot.nestedLogit.Rd
2a6968df1626a6ac25e70471456cb32e *man/predict.nestedLogit.Rd
332173f20d20942c02019350ea4dcadc *tests/spelling.R
4545570fa6ab195db563d37335088ac2 *tests/testthat.R
bc9faad37932a4adde0dde91e586d152 *tests/testthat/test-Effect-method.R
b4d39429e4cef812b467d4d5aeb1c97d *tests/testthat/test-fitted-probs.R
9b53df1033aa17971bcdef8cf7761688 *tests/testthat/test-model-update.R
800ad9d05126e3871518d9352c9c8bc9 *tests/testthat/test-probs-SEs.R
ec4a39a5e4df18cd2068c89389c210b3 *vignettes/apa.csl
f280321e54710d1478ae461c8eaff388 *vignettes/apalike.csl
a26987b6d8cfc26db16d64fd9faa25c1 *vignettes/ggeffects.Rmd
a0bc2af4c49da462cf1af141856b245b *vignettes/nested-psychiatric.png
0b71e3f814ea54a3ce29737fcabfc981 *vignettes/nested.jpg
844aa713fe44d04bb9a5a577c2eecd79 *vignettes/nestedLogit.Rmd
0f658fba8b6fa5fa1834d4b5cbf78a4b *vignettes/other-examples.Rmd
cdab4fc12cdcd1f729e4a1741229c383 *vignettes/plotting-ggplot.Rmd
ae24e18e9043eca372bbd24607ba4e1b *vignettes/references.bib
6b25afd22801b94c90148032d4436faa *vignettes/standard-errors.Rmd
