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-4.5)linERR_1.0.zip(r-4.4)linERR_1.0.zip(r-4.3)
linERR_1.0.tgz(r-4.4-x86_64)linERR_1.0.tgz(r-4.4-arm64)linERR_1.0.tgz(r-4.3-x86_64)linERR_1.0.tgz(r-4.3-arm64)
linERR_1.0.tar.gz(r-4.5-noble)linERR_1.0.tar.gz(r-4.4-noble)
linERR_1.0.tgz(r-4.4-emscripten)linERR_1.0.tgz(r-4.3-emscripten)
linERR.pdf |linERR.html✨
linERR/json (API)

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

Peer review:

Datasets:

On CRAN:

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 93 downloads 6 exports 3 dependencies

Last updated 9 years agofrom:f70b13ff93. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 04 2025
R-4.5-win-x86_64OKJan 04 2025
R-4.5-linux-x86_64OKJan 04 2025
R-4.4-win-x86_64OKJan 04 2025
R-4.4-mac-x86_64OKJan 04 2025
R-4.4-mac-aarch64OKJan 04 2025
R-4.3-win-x86_64OKJan 04 2025
R-4.3-mac-x86_64OKJan 04 2025
R-4.3-mac-aarch64OKJan 04 2025

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

Dependencies:latticeMatrixsurvival