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investr  

Inverse Estimation/Calibration Functions
View on CRAN: Click here


Download and install investr package within the R console
Install from CRAN:
install.packages("investr")

Install from Github:
library("remotes")
install_github("cran/investr")

Install by package version:
library("remotes")
install_version("investr", "1.4.2")



Attach the package and use:
library("investr")
Maintained by
Brandon M. Greenwell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-08-09
Latest Update: 2022-03-31
Description:
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) .
How to cite:
Brandon M. Greenwell (2013). investr: Inverse Estimation/Calibration Functions. R package version 1.4.2, https://cran.r-project.org/web/packages/investr. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.1 (2014-04-19 20:20), 1.0 (2013-08-09 06:43), 1.1.0 (2014-07-14 23:34), 1.1.1 (2014-09-09 17:47), 1.1.2 (2014-09-15 07:26), 1.2.0 (2014-12-23 18:08), 1.2.1 (2015-01-06 17:37), 1.3.0 (2015-03-25 16:05), 1.4.0 (2016-04-09 09:39)
Other packages that cited investr R package
View investr citation profile
Other R packages that investr depends, imports, suggests or enhances
Complete documentation for investr
Functions, R codes and Examples using the investr R package
Some associated functions: arsenic . beetle . bladder . calibrate . crystal . invest . investr . nasturtium . plot.bootCal . plotFit . predFit . whisky . 
Some associated R codes: calibrate.R . computeBootReps.R . computeInverseEstimate.R . computeInversionInterval.R . computeWaldInterval.R . data.R . invest.R . investr.R . plotFit.R . predFit.R . simulate.nls.R . utils.R .  Full investr package functions and examples
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