Package: lodr 1.0

Kevin Donovan

lodr: Linear Model Fitting with LOD Covariates

Tools to fit linear regression model to data while taking into account covariates with lower limit of detection (LOD).

Authors:Kevin Donovan

lodr_1.0.tar.gz
lodr_1.0.tar.gz(r-4.5-noble)lodr_1.0.tar.gz(r-4.4-noble)
lodr_1.0.tgz(r-4.4-emscripten)lodr_1.0.tgz(r-4.3-emscripten)
lodr.pdf |lodr.html
lodr/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • lod_data_ex - Simulated data with covariates subject to limits of detection

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

openblascpp

1.70 score 8 scripts 124 downloads 9 exports 4 dependencies

Last updated 5 years agofrom:34c808d06e. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 05 2024
R-4.5-linux-x86_64NOTEDec 05 2024

Exports:coef.lod_lmfitted.lod_lmLOD_bootstrap_fitLOD_fitlod_lmprint.lod_lmprint.summary.lod_lmresiduals.lod_lmsummary.lod_lm

Dependencies:rbibutilsRcppRcppArmadilloRdpack