This package is considered a duplicate. The official version of this package is found at:https://kmdono02.r-universe.dev/lodr
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:
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')) |
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.
Last updated 5 years agofrom:34c808d06e. Checks:1 OK, 1 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 04 2025 |
| R-4.5-linux-x86_64 | NOTE | Jan 04 2025 |
Exports:coef.lod_lmfitted.lod_lmLOD_bootstrap_fitLOD_fitlod_lmprint.lod_lmprint.summary.lod_lmresiduals.lod_lmsummary.lod_lm
Dependencies:rbibutilsRcppRcppArmadilloRdpack
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Extract lod_lm Coefficients | coef.lod_lm |
| Extract lod_lm residuals | fitted.lod_lm |
| Rcpp Code for Computing Standard Errors When Fitting Linear Models with Covariates Subject to a Limit of Detection (LOD) | LOD_bootstrap_fit |
| Simulated data with covariates subject to limits of detection | lod_data_ex |
| Rcpp Code for Fitting Linear Models with Covariates Subject to a Limit of Detection (LOD) | LOD_fit |
| Fitting Linear Models with Covariates Subject to a Limit of Detection (LOD) | lod_lm print.lod_lm |
| Extract lod_lm residuals | residuals.lod_lm |
| Summarizing Linear Model Fits with Covariates Subject to a Limit of Detection | print.summary.lod_lm summary.lod_lm |
