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investr (version 1.1.0)

Inverse estimation/calibration functions

Description

This package provides 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

1.1.0

License

GPL (>= 2)

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Maintainer

Brandon Greenwell

Last Published

July 14th, 2014

Functions in investr (1.1.0)

makeZ

Construct design matrix for random effects
invest

Calibration for Linear and Nonlinear Regression Models.
plotFit

Plotting Confidence/Prediction Bands
varY

Evaluate response variance
Sigma

Extract residual standard error
calibrate

Calibration for the simple linear regression model.
investr-package

Inverse estimation/calibration functions
arsenic

Concentrations of arsenic in water samples
makeX

Construct design matrix for fixed effects
crystal

Crystal weight data
makeData

Make new data frame
predict2

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