Updates on CRAN: afttest (4.5.1), devianLM (1.0.6), ggseqplot (0.8.9), gkwreg (2.1.1), GSODR (5.0.0), hdbayes (0.2.0)

CRAN updates: afttest devianLM ggseqplot gkwreg GSODR hdbayes #rstats

Updates on CRAN: FastKRR (0.1.1), gglogger (0.1.7), ggseqplot (0.8.8), ggvenn (0.1.18), rxode2 (4.1.1), svrep (0.9.1), tram (1.2-5), tramnet (0.0-9)

CRAN updates: FastKRR ggseqplot rxode2 svrep tram #rstats

CRAN updates: ggseqplot maplegend sparklyr zCompositions #rstats

Updates on CRAN: autocogs (0.1.5), ctsem (3.10.4), difNLR (1.5.1-4), fixes (0.4.1), ggseqplot (0.8.7), greybox (2.0.5), PLMIX (2.2.0), Rmonize (2.0.0), segtest (2.0.0), shadowtext (0.1.5), wintime (0.4.0)

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Need guidance on creating nice sequence plots?

📗 For #TraMineR and #ggseqplot examples, see the tutorials on our book’s companion site (esp. Ch. 2 & 5): sa-book.github.io

📕 ggseqplot vignette: maraab23.github.io/ggseqplot/ar...

#RStats #DataViz #ggplot2

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Back from #PAA. Saw many sequence analysis applications — not all with great visualization.

No need to overcomplicate: #TraMineR (base R) and #ggseqplot (CRAN update just out) offer solid tools for clear, appealing sequence data viz. @seqanalysisassn.bsky.social @popassocamerica.bsky.social

Updates on CRAN: ggseqplot (0.8.6), IAPWS95 (1.2.5), nandb (2.1.1), softImpute (1.4-2)

CRAN updates: ggseqplot nandb #rstats

Updates on CRAN: biostat3 (0.2.2), ggseqplot (0.8.5), MCARtest (1.2.2), microeco (1.10.0), RcmdrPlugin.DoE (0.12-6), reactable.extras (0.2.1), rqPen (4.1.2), rstpm2 (1.6.6)

CRAN updates: ggseqplot rqPen #rstats

Updates on CRAN: evinf (0.8.10), fastbeta (0.3.0), ggseqplot (0.8.4), inldata (1.2.1), sievePH (1.1), TCIU (1.2.6), traits (0.5.1)

CRAN updates: ggseqplot #rstats