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
dfrr_0.1.0.zip(r-4.7)dfrr_0.1.0.zip(r-4.6)dfrr_0.1.0.zip(r-4.5)
dfrr_0.1.0.tgz(r-4.6-any)dfrr_0.1.0.tgz(r-4.5-any)
dfrr_0.1.0.tar.gz(r-4.7-any)dfrr_0.1.0.tar.gz(r-4.6-any)
dfrr_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
dfrr/json (API)

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

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

Datasets:
  • madras - Madras Longitudinal Schizophrenia Study.

On CRAN:

Conda:

2.70 score 1 stars 219 downloads 5 exports 93 dependencies

Last updated from:191f47b930. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE241
source / vignettesOK214
linux-release-x86_64NOTE253
macos-release-arm64NOTE233
macos-oldrel-arm64NOTE197
windows-develNOTE202
windows-releaseNOTE194
windows-oldrelNOTE193
wasm-releaseOK140

Exports:basisdfrrfpcaqqsimulate_simple_dfrr

Dependencies:ashaskpassbase64encbitopsbslibcachemcliclustercolorspacecpp11crosstalkcurldata.tabledeSolvedigestdplyrevaluatefarverfastmapfdafdsFNNfontawesomefsgenericsggplot2gluegmmgtablehdrcdehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglaterlatticelazyevallifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmvtnormnlmeopensslotelpcaPPpillarpkgconfigplotlypracmapromisespurrrR6rainbowrappdirsRColorBrewerRcppRCurlrlangrmarkdownS7sandwichsassscalesstringistringrsystibbletidyrtidyselecttinytextmvtnormutf8vctrsviridisLitewithrxfunyamlzoo