This package provides functionalities that aim at facilitating and saving time when analysing data.
You can install helda from CRAN by simply running:
install.packages("helda")To get a bug fix, or use a feature from the development version, you can install helda from this GitHub repository.
# install.packages("devtools")
devtools::install_github("Redcart/helda")This is a quick introduction to the lift curve function of the package:
library(helda)
data_training <- titanic_training
data_validation <- titanic_validation
model_glm <- glm(formula = "Survived ~ Pclass + Sex + Age +
SibSp + Fare + Embarked",
data = data_training,
family = binomial(link = "logit"))
predictions <- predict(object = model_glm,
newdata = data_validation,
type = "response")
plot <- lift_curve(predictions = predictions,
true_labels = data_validation$Survived,
positive_label = 1)
plot
If you encounter a clear bug, please file a minimal reproducible example on the issues section of the repository.
Simon Corde