Package: linERR 1.0

linERR: Linear Excess Relative Risk Model

Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.

Authors:David Moriña

linERR_1.0.tar.gz
linERR_1.0.zip(r-4.7-x86_64)linERR_1.0.zip(r-4.7-arm64)linERR_1.0.zip(r-4.6-x86_64)linERR_1.0.zip(r-4.6-arm64)linERR_1.0.zip(r-4.5-x86_64)
linERR_1.0.tgz(r-4.6-x86_64)linERR_1.0.tgz(r-4.6-arm64)linERR_1.0.tgz(r-4.5-x86_64)linERR_1.0.tgz(r-4.5-arm64)
linERR_1.0.tar.gz(r-4.7-arm64)linERR_1.0.tar.gz(r-4.7-x86_64)linERR_1.0.tar.gz(r-4.6-arm64)linERR_1.0.tar.gz(r-4.6-x86_64)
linERR_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
linERR/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 238 downloads 6 exports 3 dependencies

Last updated from:f70b13ff93. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK91
linux-devel-x86_64OK118
source / vignettesOK160
linux-release-arm64OK84
linux-release-x86_64OK104
macos-release-arm64OK88
macos-release-x86_64OK186
macos-oldrel-arm64OK104
macos-oldrel-x86_64OK251
windows-devel-arm64OK180
windows-devel-x86_64OK120
windows-release-arm64OK187
windows-release-x86_64OK83
windows-oldrel-x86_64OK97
wasm-releaseOK74

Exports:ERRcifit.linERRllhoodplot.fit.linERRprint.summary.fit.linERRsummary.fit.linERR

Dependencies:latticeMatrixsurvival