Package: gasplit 1.4.16

Mark Bravington

gasplit: Flexible estimation of 2-category proportions

Like a GLM/GAM where the true category of each sample is unknown, but the response data is a continuous variable with known distributions for category-1 and category-2 samples.

Authors:Mark Bravington <[email protected]>

gasplit_1.4.16.tar.gz
gasplit_1.4.16.zip(r-4.7)gasplit_1.4.16.zip(r-4.6)gasplit_1.4.16.zip(r-4.5)
gasplit_1.4.16.tgz(r-4.6-any)gasplit_1.4.16.tgz(r-4.5-any)
gasplit_1.4.16.tar.gz(r-4.7-any)gasplit_1.4.16.tar.gz(r-4.6-any)
gasplit_1.4.16.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gasplit/json (API)
NEWS

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

Bug tracker:https://github.com/markbravington/gasplit/issues

On CRAN:

Conda:

2.00 score 8 exports 11 dependencies

Last updated from:986feff334. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE139
source / vignettesOK157
linux-release-x86_64NOTE136
macos-release-arm64NOTE114
macos-oldrel-arm64NOTE127
windows-develNOTE112
windows-releaseNOTE106
windows-oldrelNOTE106
wasm-releaseOK87

Exports:babydatexample_prep4missygasplitgasplit_missygasplit2make_fake_ppnsposteriortest_gasplit

Dependencies:ateaselatticeMASSMatrixmgcvmvbutilsnlmeRcppRcppEigenRTMBTMB