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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>.

Version: 1.4.2
Depends: R (≥ 3.3.0)
Imports: graphics, nlme, stats, utils
Suggests: boot, datasets, knitr, MASS, testthat
Published: 2022-03-31
DOI: 10.32614/CRAN.package.investr
Author: Brandon M. Greenwell
Maintainer: Brandon M. Greenwell <greenwell.brandon at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/bgreenwell/investr
NeedsCompilation: no
Citation: investr citation info
Materials: README NEWS
In views: ChemPhys
CRAN checks: investr results

Documentation:

Reference manual: investr.pdf
Vignettes: Introduction

Downloads:

Package source: investr_1.4.2.tar.gz
Windows binaries: r-devel: investr_1.4.2.zip, r-release: investr_1.4.2.zip, r-oldrel: investr_1.4.2.zip
macOS binaries: r-release (arm64): investr_1.4.2.tgz, r-oldrel (arm64): investr_1.4.2.tgz, r-release (x86_64): investr_1.4.2.tgz, r-oldrel (x86_64): investr_1.4.2.tgz
Old sources: investr archive

Reverse dependencies:

Reverse depends: enveomics.R
Reverse imports: GrowthCurveME
Reverse suggests: chemCal, envalysis, ggtrendline

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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