Package: LW1949 1.1.0

Jean V. Adams

LW1949: An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)

The manual approach of Litchfield and Wilcoxon (1949) <http://jpet.aspetjournals.org/content/96/2/99.abstract> for evaluating dose-effect experiments is automated so that the computer can do the work.

Authors:Jean V. Adams [aut, cre]

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LW1949/json (API)
NEWS

# Install 'LW1949' in R:
install.packages('LW1949', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jvadams/lw1949/issues

On CRAN:

Conda:

archivedpackagesr-universe

2.70 score 5 stars 131 downloads 29 exports 6 dependencies

Last updated 7 days agofrom:e4e6976613 (on package/LW1949). Checks:1 OK, 8 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 24 2025
R-4.5-winNOTEMar 24 2025
R-4.5-macNOTEMar 24 2025
R-4.5-linuxNOTEMar 24 2025
R-4.4-winNOTEMar 24 2025
R-4.4-macNOTEMar 24 2025
R-4.4-linuxNOTEMar 24 2025
R-4.3-winNOTEMar 24 2025
R-4.3-macNOTEMar 24 2025

Exports:assessfitcoefprobitconstraincorrectvaldataprepestimablefillfitHandfitlinearfitLWautofitprobitfxcatgamtable1invprobitkeeponlyLWchi2LWestimateLWnomo1LWPnomoCoordplotDEplotDELPpredlinearpredLinespredLinesLPpredprobitprettylogprobitrelPotency

Dependencies:latticeMASSMatrixmgcvnlmeplotrix

Introduction to LW1949

Jean V. Adams

Rendered fromIntro.Rmdusingknitr::rmarkdownon Mar 24 2025.

Last update: 2025-03-24
Started: 2025-03-24

Readme and manuals

Help Manual

Help pageTopics
Assess Fit of Dose-Response Curveassessfit
Calculate the Coefficients of a Probit Regression Fitcoefprobit
Constrain Data to a Specified Rangeconstrain
Predict the Corrected Proportional Effectcorrectval
Prepare Datadataprep
Determine if a Dose-Effect Relation is Estimableestimable
Fill in Missing Valuesfill
Best Fit Using Estimated Expected EffectsfitHand
Determine Linear Regression Coefficients from Dose-Effect Datafitlinear
Best Fit Using Litchfield and Wilcoxon Evaluation of Dose-Effect ExperimentsfitLWauto
Fit a Probit Regression to Dose-Effect Datafitprobit
Define Effect Categoryfxcat
Fit a smooth GAM to Table 1 of Litchfield and Wilcoxon (1949)gamtable1
Convert Probit Scale to Proportionsinvprobit
Eliminate Consecutive Extreme Valueskeeponly
Automated Litchfield and Wilcoxon (1949) Evaluation of Dose-Effect ExperimentsLW1949-package LW1949
Chi-Squared StatisticLWchi2
Generate Litchfield and Wilcoxon EstimatesLWestimate
Recreate Litchfield and Wilcoxon's Nomograph No. 1LWnomo1
User Friendly Evaluation of Dose-Effect Experiments using Litchfield-Wilcoxon and Probit MethodsLWP
Find the Coordinate from the Scale of a NomographnomoCoord
Plot Dose-Effect ExperimentsplotDE
Plot Dose-Effect ExperimentsplotDELP
Determine the Effective Dose from a Linear Regression Fitpredlinear
Add Litchfield and Wilcoxon Predictions to a PlotpredLines
Add Litchfield and Wilcoxon Predictions to a PlotpredLinesLP
Determine the Effective Dose from a Probit Regression Fitpredprobit
Pretty Breakpoints on Log Scaleprettylog
Convert Proportions to the Probit Scaleprobit
Relative Potency of Two ToxinsrelPotency