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:Brandon M. Greenwell

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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'))

Peer review:

Bug tracker:https://github.com/bgreenwell/investr/issues

Datasets:

On CRAN:

calibrationinverse-estimationinverse-predictionregression

4 exports 22 stars 2.66 score 2 dependencies 1 dependents 3 mentions 107 scripts 1.8k downloads

Last updated 2 years agofrom:8726ad42ac. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winNOTEAug 21 2024
R-4.5-linuxNOTEAug 21 2024
R-4.4-winNOTEAug 21 2024
R-4.4-macNOTEAug 21 2024
R-4.3-winNOTEAug 21 2024
R-4.3-macNOTEAug 21 2024

Exports:calibrateinvestplotFitpredFit

Dependencies:latticenlme

Introduction

Rendered fromintroduction.Rnwusingknitr::knitron Aug 21 2024.

Last update: 2022-03-31
Started: 2016-01-07

Readme and manuals

Help Manual

Help pageTopics
Concentrations of arsenic in water samplesarsenic
Dobson's Beetle Databeetle
Bladder volume databladder
Calibration for the simple linear regression modelcalibrate calibrate.default calibrate.formula calibrate.lm print.calibrate
Crystal weight datacrystal
Inverse estimation for linear, nonlinear, and generalized linear modelsinvest invest.glm invest.lm invest.lme invest.nls
investr: a package for inverse estimation in Rinvestr
Bioassay on Nasturtiumnasturtium
Plots method for bootstrap calibrationplot.bootCal
Plotting fitted modelsplotFit plotFit.default
Predictions from a Fitted ModelpredFit predFit.default predFit.glm predFit.lm predFit.lme predFit.nls
Whisky datawhisky