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investr (version 1.2.1)

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

26,603

Version

1.2.1

License

GPL (>= 2)

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Maintainer

Brandon Greenwell

Last Published

January 6th, 2015

Functions in investr (1.2.1)

Sigma

Extract residual standard error
crystal

Crystal weight data
makeData

Make new data frame
makeX

Construct design matrix for fixed effects
arsenic

Concentrations of arsenic in water samples
nasturtium

Bioassay on Nasturtium
plotFit

Plotting Confidence/Prediction Bands
AnyNA

'Not Available' / Missing Values
invest

Calibration for Linear and Nonlinear Regression Models.
predict2

Predict method for (Single-Regressor) Linear, Nonlinear, and (Linear) Mixed Model Fits
plot.bootCal

Plots of the Output of a Bootstrap Calibration Simulation
investr-package

Inverse Estimation/Calibration Functions
calibrate

Calibration for the simple linear regression model.
makeZ

Construct design matrix for random effects
varY

Evaluate response variance