Package: dfrr 0.1.0

Fatemeh Asgari

dfrr: Dichotomized Functional Response Regression

Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dfrr model.

Authors:Fatemeh Asgari [aut, cre], Saeed Hayati [aut, ctb]

dfrr_0.1.0.tar.gz
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dfrr.pdf |dfrr.html✨
dfrr/json (API)

# Install 'dfrr' in R:
install.packages('dfrr', repos = c('https://asgari-fatemeh.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/asgari-fatemeh/dfrr/issues

Datasets:
  • madras - Madras Longitudinal Schizophrenia Study.

On CRAN:

2.70 score 1 stars 210 downloads 5 exports 93 dependencies

Last updated 4 years agofrom:191f47b930. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winNOTENov 22 2024
R-4.3-macNOTENov 22 2024

Exports:basisdfrrfpcaqqsimulate_simple_dfrr

Dependencies:ashaskpassbase64encbitopsbslibcachemcliclustercolorspacecpp11crosstalkcurldata.tabledeSolvedigestdplyrevaluatefansifarverfastmapfdafdsFNNfontawesomefsgenericsggplot2gluegmmgtablehdrcdehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglaterlatticelazyevallifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmunsellmvtnormnlmeopensslpcaPPpillarpkgconfigplotlypracmapromisespurrrR6rainbowrappdirsRColorBrewerRcppRCurlrlangrmarkdownsandwichsassscalesstringistringrsystibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunyamlzoo