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optDesignSlopeInt (version 1.1.1)

Optimal Designs for Estimating the Slope Divided by the Intercept

Description

Aids practitioners to optimally design experiments that measure the slope divided by the intercept and provides confidence intervals for the ratio.

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Version

Install

install.packages('optDesignSlopeInt')

Monthly Downloads

144

Version

1.1.1

License

GPL-3

Maintainer

Adam Kapelner

Last Published

July 7th, 2023

Functions in optDesignSlopeInt (1.1.1)

err_vs_theta0_plot_for_homo_design

Plots a standard error estimate of thetahat (slope over intercept) over a range of possible theta0 values in order to investigate robustness of the the initial theta0 guess.
oed_for_slope_over_intercept

Create an optimal design for measuring the slope divided by the intercept
design_bakeoff

A visualiation for comparing slope-divided-by-intercept estimates for a number of designs
optDesignSlopeInt

Optimal Designs for Estimating the Slope Divided by the Intercept
experimental_results

Report the results of the experiment as well as confidence intervals.
napth

This is data for the PRV measurement of the k_H of Napthalene in water. See Section 3 of our paper below for more information.