Package: lodr 1.0

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
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lodr.pdf |lodr.html✨
lodr/json (API)

# Install 'lodr' in R:
install.packages('lodr', repos = c('https://kmdono02.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

On CRAN:

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

1.70 score 8 scripts 134 downloads 9 exports 4 dependencies

Last updated 5 years agofrom:34c808d06e. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64NOTENov 14 2024
R-4.5-linux-x86_64NOTENov 14 2024
R-4.4-win-x86_64NOTENov 14 2024
R-4.4-mac-x86_64NOTENov 14 2024
R-4.4-mac-aarch64NOTENov 14 2024
R-4.3-win-x86_64NOTENov 14 2024
R-4.3-mac-x86_64NOTENov 14 2024
R-4.3-mac-aarch64NOTENov 14 2024

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

Dependencies:rbibutilsRcppRcppArmadilloRdpack