Package: optDesignSlopeInt 1.1.1

Adam Kapelner

optDesignSlopeInt: Optimal Designs for Estimating the Slope Divided by the Intercept

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

Authors:Adam Kapelner [aut, cre], Abba Krieger [rev], William J. Blanford [rev]

# Install 'optDesignSlopeInt' in R:

install.packages('optDesignSlopeInt', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

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.

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 1 years agofrom:c7f0b8fb19. Checks:OK: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-linux	OK	Oct 27 2024

Help page	Topics
A visualiation for comparing slope-divided-by-intercept estimates for a number of designs	design_bakeoff
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.	err_vs_theta0_plot_for_homo_design
Report the results of the experiment as well as confidence intervals.	experimental_results
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.	napth
Create an optimal design for measuring the slope divided by the intercept	oed_for_slope_over_intercept
Optimal Designs for Estimating the Slope Divided by the Intercept	optDesignSlopeInt