This function is one of the methods of add_quantile.
# S3 method for negbin
add_quantile(df, fit, p, name = NULL, yhatName = "pred", nSims = 2000, ...)A data frame of new data.
An object of class negbin. Predictions are made with
this object.
A real number between 0 and 1. Sets the probability level of the quantiles.
NULL or a string. If NULL,
quantiles automatically will be named by add_quantile,
otherwise, they will be named name.
A string. Name of the vector of predictions.
A positive integer. Set the number of simulated draws to use.
Additional arguments.
A dataframe, df, with predicted values and level
p quantiles attached.
Quantiles of Negative Binomial linear models are determined by
add_quantile through a simulation using arm::sim.
add_ci.negbin for confidence intervals for
negbin objects, add_pi.negbin for prediction
intervals of negbin objects, and add_probs.negbin
for response probabilities of negbin objects.
# NOT RUN {
x1 <- rnorm(100, mean = 1)
y <- MASS::rnegbin(n = 100, mu = exp(1 + x1), theta = 5)
df <- data.frame(x1 = x1, y = y)
fit <- MASS::glm.nb(y ~ x1, data = df)
add_quantile(df, fit, p = 0.3)
# }
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