Parameter Descriptions
An object.
Other arguments passed to methods.
A flag specifying whether to also fill missing values.
A non-negative whole number of the number of random samples to generate.
A numeric scalar between 0 and 1 specifying the confidence level.
A scalar of the value to replace values with.
A flag specifying whether probabilities less than 0.5 should be returned as negative values.
A flag specifying whether to return the deviance residual as opposed to the deviance.
A numeric vector of the means.
A non-negative numeric vector of the standard deviations.
A numeric vector of the means on the log scale.
A non-negative numeric vector of the standard deviations on the log scale.
A non-negative whole numeric vector of the number of trials.
A numeric vector of values between 0 and 1 of the probability of success.
A non-negative numeric vector of means.
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
A non-negative numeric vector of shape.
A non-negative numeric vector of rate.
A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.
A flag specifying whether to remove missing values.
A number of the threshold value.
A flag specifying whether to simulate residuals.
A flag specifying whether to return the log-transformed value.
A flag specifying whether to return the lower or upper tail of the distribution.
A vector of quantiles.
A vector of probabilities.