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| -rw-r--r-- | gnu/packages/cran.scm | 30 |
1 files changed, 30 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index dd73676622..9679b3c664 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -8948,6 +8948,36 @@ patterned after functions in the Python @code{itertools} module, and others patterned after functions in the snow package.") (license license:gpl2))) +(define-public r-itsadug + (package + (name "r-itsadug") + (version "2.4") + (source + (origin + (method url-fetch) + (uri (cran-uri "itsadug" version)) + (sha256 + (base32 "0759l7hhvj05dp92pz59xwrxjm9s1iwkwrdhs68l0fq57550j70l")))) + (properties `((upstream-name . "itsadug"))) + (build-system r-build-system) + (propagated-inputs (list r-mgcv r-plotfunctions)) + (native-inputs (list r-knitr)) + (home-page "https://cran.r-project.org/package=itsadug") + (synopsis "Interpreting time series and autocorrelated data using GAMMs") + (description + "@dfn{Generalized Additive Mixed Modeling} (GAMM; Lin & Zhang, 1999) as +implemented in the R package @code{mgcv} is a nonlinear regression analysis +which is particularly useful for time course data such as EEG, pupil dilation, +gaze data (eye tracking), and articulography recordings, but also for +behavioral data such as reaction times and response data. As time course +measures are sensitive to autocorrelation problems, GAMMs implements methods +to reduce the autocorrelation problems. This package includes functions for +the evaluation of GAMM models (e.g., model comparisons, determining regions of +significance, inspection of autocorrelational structure in residuals) and +interpreting of GAMMs (e.g., visualization of complex interactions, and +contrasts).") + (license license:gpl2+))) + (define-public r-polynom (package (name "r-polynom") |