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R/zzz.R
In morseDR: Bayesian Inference of Binary, Count and Continuous Data in Toxicology
colmed = "#EE9802"
fillci = "#E2D4BB"
cinter = "#936005"
cexpmin = "#30D0FF"
cexpmax = "#005872"
# HACK TO REMOVE NOTES FOR GLOBAL VARIABLES (mainly due to ggplot2)
globalVariables(unique(
c("time", "measure", "conc", "Psurv", "line", "qinf95", "qsup95", "q50",
"legend_median", "legend_CI", "legend_observation", "legend_CIobs",
"Nreprocumul", "NID", "response", "legend_binomial", "value", "pp",
"Qinf95", "Qsup95", "color")))
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morseDR documentation built on June 8, 2025, 10:20 a.m.
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colmed = "#EE9802"
fillci = "#E2D4BB"
cinter = "#936005"
cexpmin = "#30D0FF"
cexpmax = "#005872"
# HACK TO REMOVE NOTES FOR GLOBAL VARIABLES (mainly due to ggplot2)
globalVariables(unique(
c("time", "measure", "conc", "Psurv", "line", "qinf95", "qsup95", "q50",
"legend_median", "legend_CI", "legend_observation", "legend_CIobs",
"Nreprocumul", "NID", "response", "legend_binomial", "value", "pp",
"Qinf95", "Qsup95", "color")))
Try the morseDR package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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