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investr (version 1.2.0)

Inverse Estimation/Calibration Functions

Description

Functions to facilitate inverse estimation/calibration in linear, nonlinear, and (linear) mixed 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.

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Install

install.packages('investr')

Monthly Downloads

19,036

Version

1.2.0

License

GPL (>= 2)

Issues

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Maintainer

Brandon Greenwell

Last Published

December 23rd, 2014

Functions in investr (1.2.0)

crystal

Crystal weight data
plot.bootCal

Plots of the Output of a Bootstrap Calibration Simulation
predict2

Predict method for (Single-Regressor) Linear, Nonlinear, and (Linear) Mixed Model Fits
Sigma

Extract residual standard error
makeX

Construct design matrix for fixed effects
calibrate

Calibration for the simple linear regression model.
arsenic

Concentrations of arsenic in water samples
makeZ

Construct design matrix for random effects
makeData

Make new data frame
investr-package

Inverse estimation/calibration functions
varY

Evaluate response variance
invest

Calibration for Linear and Nonlinear Regression Models.
plotFit

Plotting Confidence/Prediction Bands
nasturtium

Bioassay on Nasturtium