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

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Documentation for package ‘LW1949’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

LW1949-package	Automated Litchfield and Wilcoxon (1949) Evaluation of Dose-Effect Experiments
assessfit	Assess Fit of Dose-Response Curve
coefprobit	Calculate the Coefficients of a Probit Regression Fit
constrain	Constrain Data to a Specified Range
correctval	Predict the Corrected Proportional Effect
dataprep	Prepare Data
estimable	Determine if a Dose-Effect Relation is Estimable
fill	Fill in Missing Values
fitHand	Best Fit Using Estimated Expected Effects
fitlinear	Determine Linear Regression Coefficients from Dose-Effect Data
fitLWauto	Best Fit Using Litchfield and Wilcoxon Evaluation of Dose-Effect Experiments
fitprobit	Fit a Probit Regression to Dose-Effect Data
fxcat	Define Effect Category
gamtable1	Fit a smooth GAM to Table 1 of Litchfield and Wilcoxon (1949)
invprobit	Convert Probit Scale to Proportions
keeponly	Eliminate Consecutive Extreme Values
LW1949	Automated Litchfield and Wilcoxon (1949) Evaluation of Dose-Effect Experiments
LWchi2	Chi-Squared Statistic
LWestimate	Generate Litchfield and Wilcoxon Estimates
LWnomo1	Recreate Litchfield and Wilcoxon's Nomograph No. 1
LWP	User Friendly Evaluation of Dose-Effect Experiments using Litchfield-Wilcoxon and Probit Methods
nomoCoord	Find the Coordinate from the Scale of a Nomograph
plotDE	Plot Dose-Effect Experiments
plotDELP	Plot Dose-Effect Experiments
predlinear	Determine the Effective Dose from a Linear Regression Fit
predLines	Add Litchfield and Wilcoxon Predictions to a Plot
predLinesLP	Add Litchfield and Wilcoxon Predictions to a Plot
predprobit	Determine the Effective Dose from a Probit Regression Fit
prettylog	Pretty Breakpoints on Log Scale
probit	Convert Proportions to the Probit Scale
relPotency	Relative Potency of Two Toxins