Package: optDesignSlopeInt 1.1.1

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]

optDesignSlopeInt_1.1.1.tar.gz
optDesignSlopeInt_1.1.1.zip(r-4.7-any)optDesignSlopeInt_1.1.1.zip(r-4.6-any)optDesignSlopeInt_1.1.1.zip(r-4.5-any)
optDesignSlopeInt_1.1.1.tgz(r-4.6-any)optDesignSlopeInt_1.1.1.tgz(r-4.5-any)
optDesignSlopeInt_1.1.1.tar.gz(r-4.7-any)optDesignSlopeInt_1.1.1.tar.gz(r-4.6-any)
optDesignSlopeInt_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
optDesignSlopeInt/json (API)

# Install 'optDesignSlopeInt' in R:
install.packages('optDesignSlopeInt', repos = c('https://kapelner.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kapelner/optdesignslopeint/issues

Pkgdown/docs site:https://kapelner.github.io

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.

On CRAN:

Conda:

optimal experimental designdesign of experimentslinear regressionratio estimationslope-to-intercept ratioconfidence intervalscalibrationhenrys law constant

1.70 score 2 scripts 221 downloads 4 exports 10 dependencies

Last updated from:ec2c869dea. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK121
source / vignettesOK165
linux-releaseOK131
macos-releaseOK103
macos-oldrelOK114
windows-develOK107
windows-releaseOK69
windows-oldrelOK96
wasm-releaseOK86

Exports:design_bakeofferr_vs_theta0_plot_for_homo_designexperimental_resultsoed_for_slope_over_intercept

Dependencies:codalatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregSparseMsurvival