Package: investr 1.4.2
investr: Inverse Estimation/Calibration Functions
Functions to facilitate inverse estimation (e.g., calibration) in linear, generalized linear, nonlinear, and (linear) mixed-effects models. A generic function is also provided for plotting fitted regression models with or without confidence/prediction bands that may be of use to the general user. For a general overview of these methods, see Greenwell and Schubert Kabban (2014) <doi:10.32614/RJ-2014-009>.
Authors:
investr_1.4.2.tar.gz
investr_1.4.2.zip(r-4.5)investr_1.4.2.zip(r-4.4)investr_1.4.2.zip(r-4.3)
investr_1.4.2.tgz(r-4.4-any)investr_1.4.2.tgz(r-4.3-any)
investr_1.4.2.tar.gz(r-4.5-noble)investr_1.4.2.tar.gz(r-4.4-noble)
investr_1.4.2.tgz(r-4.4-emscripten)investr_1.4.2.tgz(r-4.3-emscripten)
investr.pdf |investr.html✨
investr/json (API)
NEWS
| # Install 'investr' in R: |
| install.packages('investr', repos = c('https://bgreenwell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bgreenwell/investr/issues
calibrationinverse-estimationinverse-predictionregression
Last updated 3 years agofrom:8726ad42ac. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 21 2024 |
| R-4.5-win | OK | Nov 21 2024 |
| R-4.5-linux | OK | Nov 21 2024 |
| R-4.4-win | NOTE | Nov 21 2024 |
| R-4.4-mac | NOTE | Nov 21 2024 |
| R-4.3-win | NOTE | Nov 21 2024 |
| R-4.3-mac | NOTE | Nov 21 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Concentrations of arsenic in water samples | arsenic |
| Dobson's Beetle Data | beetle |
| Bladder volume data | bladder |
| Calibration for the simple linear regression model | calibrate calibrate.default calibrate.formula calibrate.lm print.calibrate |
| Crystal weight data | crystal |
| Inverse estimation for linear, nonlinear, and generalized linear models | invest invest.glm invest.lm invest.lme invest.nls |
| investr: a package for inverse estimation in R | investr |
| Bioassay on Nasturtium | nasturtium |
| Plots method for bootstrap calibration | plot.bootCal |
| Plotting fitted models | plotFit plotFit.default |
| Predictions from a Fitted Model | predFit predFit.default predFit.glm predFit.lm predFit.lme predFit.nls |
| Whisky data | whisky |
