739ef2a9959e36dd032ede3d92703dfa *CITATION
65fd4002d27b3837ca90dfce0304335f *DESCRIPTION
b9c3f3b5dfa9985f089427d5ef784d4f *INDEX
fb5c1670924a9ff80d05908806b7964a *LICENSE
5fc56a0fae4b4e183d5b2a5d6dc86f59 *Meta/Rd.rds
854c930838846579e84a22a721624a4d *Meta/features.rds
7344caece7d94bcbb696a4723ba8296e *Meta/hsearch.rds
70ed2bccc6a116a912f8eff10108afe6 *Meta/links.rds
68f46b87e74b4288f305af27d39f43f6 *Meta/nsInfo.rds
c9df6c1b6eee8579ece7a26ae83cc001 *Meta/package.rds
3d1d2bdddf8f80fc7e5daaa8228361d3 *Meta/vignette.rds
6bb7858dc9820d400cde1e4f1b10d2af *NAMESPACE
953a43f847a496094c978f86fd60f64e *NEWS.md
d6c68f1fe41ced6e98a766a3757313da *R/gp3sequences
945dbf6bdb1e4e2da468197f452caa1b *R/gp3sequences.rdb
381d73ec26717184794f1235a42d5064 *R/gp3sequences.rdx
157ac313b58aa2fff8d4193cbe51d04d *doc/choosing-a-sequence-analysis-method.R
35ddbe6a1596e9efa2c21ffdaebc80ef *doc/choosing-a-sequence-analysis-method.Rmd
85cf924105b4134d1409b986c206ad9b *doc/choosing-a-sequence-analysis-method.html
94cdc4b01eb87716a0e7bbdb4e4dcded *doc/consensus-and-group-comparisons.R
f98b2e459d6285a58b5904135ab58f97 *doc/consensus-and-group-comparisons.Rmd
beee475c4ac2599677454253598aaf8b *doc/consensus-and-group-comparisons.html
9a4f261772612bc7b5583e1188a572d0 *doc/contiguous-motif-workflow.R
ae01c987b286850022dc7b2c3116f3d6 *doc/contiguous-motif-workflow.Rmd
1b1c4b0d06375c13bd2132f5dc0e9778 *doc/contiguous-motif-workflow.html
c75f4e1bf86209bd2bf6907b0b4ea08c *doc/distances-clustering-and-stability.R
38435a2e403bc16f9bd1e24f388b44f8 *doc/distances-clustering-and-stability.Rmd
cb58a294039e20ebaf645f1585cf9598 *doc/distances-clustering-and-stability.html
3efeb238d1b76d75f9d09494e7fa629a *doc/ecosystem-update-2026-09.Rmd
c6724910417c43c395161afa0e34f5a4 *doc/ecosystem-update-2026-09.html
8e5d93eaca07ebfcc7f0d8ea4deaab6a *doc/estimation-visualization-boundaries.R
9cfc9dd9bb1f6da5b016148f44f0f9b6 *doc/estimation-visualization-boundaries.Rmd
18761b00ebc9b0897c7cea07d572d716 *doc/estimation-visualization-boundaries.html
c9d285ef95fb867363585203fc8ee85e *doc/extended-sequence-visualisations.R
d5be3153aceada881774a316d4f5475a *doc/extended-sequence-visualisations.Rmd
e4ccd762e14b9fb743eeb9024a459b06 *doc/extended-sequence-visualisations.html
072a03d79bb352bcbd1cdd1a836c6ae3 *doc/getting-started-with-gp3sequences.R
4d99ab56d3ba44d60d2745114b3e331b *doc/getting-started-with-gp3sequences.Rmd
d6ca7ded112e5f7ba3907fefd54c6989 *doc/getting-started-with-gp3sequences.html
da2e5d839ddc08c4e1359d2eeb5aa7d1 *doc/index.html
e2f48638212ea6063c598a330fd8804f *doc/latent-models-and-optional-adapters.R
5bf17ea911f8d4d50e284406e4e90540 *doc/latent-models-and-optional-adapters.Rmd
5771afe87d7c5503fe0b4cff4640ba89 *doc/latent-models-and-optional-adapters.html
8f67c612891775d22e4393e305c5edbb *doc/longitudinal-panel-sequences.R
b83ad704921cf4ff4b52757e69ceff75 *doc/longitudinal-panel-sequences.Rmd
13624b2a5a0c7670f1ae03e093e00dde *doc/longitudinal-panel-sequences.html
148c5b9ab831cd014c4e566fd692ff36 *doc/multichannel-and-covariate-hmms.R
e47bb1ff3802ad8fcd52afe68cbfd27c *doc/multichannel-and-covariate-hmms.Rmd
b484e131a7d9afe7375372804c35d65e *doc/multichannel-and-covariate-hmms.html
870fae4c71d408d44319792b98cee935 *doc/noncontiguous-subsequence-mining.R
7f665de689e794fa83f30aba8864b000 *doc/noncontiguous-subsequence-mining.Rmd
c59699deeb2d1f536b7c9fd65fd1df25 *doc/noncontiguous-subsequence-mining.html
54b09745383c1d72fd8b5a9e21f693dc *doc/reproducible-sequence-analysis-case-study.R
7f6b653c08df4be069d38a1cf437ca53 *doc/reproducible-sequence-analysis-case-study.Rmd
712104240fb927be9e2432cdfc6a10f3 *doc/reproducible-sequence-analysis-case-study.html
8c8292214c19f574296473c28f21c967 *doc/sequence-data-validation-and-preparation.R
86283a1086f307ab90a005302a64b36f *doc/sequence-data-validation-and-preparation.Rmd
e8d5c4ed2dc183203ce0de1e9e5b97e8 *doc/sequence-data-validation-and-preparation.html
533cceaac1d5760d6c278617cf00d7c8 *doc/sequence-inference-and-randomization.R
470761960535687738ec9d7d220e424f *doc/sequence-inference-and-randomization.Rmd
b71949fd7b7b1d0da9b4903f56acd11b *doc/sequence-inference-and-randomization.html
84070490fb710e7095d312ef33e15835 *doc/time-varying-condition-models.R
b18741eb1026a20fab383e9f99ae831c *doc/time-varying-condition-models.Rmd
81c907f8c7e6e8f450b066030056c610 *doc/time-varying-condition-models.html
b1e52efe191ff365383fa8d547930f30 *doc/transition-networks-and-higher-order-models.R
cf8679cf654bfa344852ac5691d4e269 *doc/transition-networks-and-higher-order-models.Rmd
050db47cb1572196740dbd705e611206 *doc/transition-networks-and-higher-order-models.html
276a5e61837e48ff7be2612c21c52bcf *doc/transition-unit-audit-october-2026.R
ec1920964279552e4002e94f925ad356 *doc/transition-unit-audit-october-2026.Rmd
b8fb759faaf0a8a56e0318b4a5c899f8 *doc/transition-unit-audit-october-2026.html
7cb19c5073754198913c3539162aba1c *help/AnIndex
e62fff96b731208e7c5c7255dda715e2 *help/aliases.rds
ebcf2738c03426b18858b7d96e49ef6e *help/figures/logo.png
59647a005b03debc2f8682b4af0aaa3d *help/figures/logo.svg
9744869597b7dc69c4b3a549e1e9f0b4 *help/gp3sequences.rdb
ddfed338025388fce104c81046c24035 *help/gp3sequences.rdx
196d1a0e4dd2c0347227152a461e55dc *help/paths.rds
fd96613c2963b46b8cf29e45271882c6 *html/00Index.html
8b9362669af13540a86a3ac6cf22f99d *html/R.css
64eb17f66d337865acb3b5e28b636ca5 *research/october_2026_transition_unit_audit.R
315d3d153243db7cba60fb5e2b4f7c91 *validation/gp3sequences-validation.csv
