Default parameter descriptions which may be overridden in individual functions.
Other arguments passed to methods.
The first shape parameter of the Beta distribution.
The second shape parameter of the Beta distribution.
A numeric scalar between 0 and 1 specifying the confidence level.
A flag specifying whether probabilities less than 0.5 should be returned as negative values.
A non-negative numeric vector of means.
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 numeric vector of the means.
A numeric vector of the means on the log scale.
A non-negative whole number of the number of random samples to generate.
A flag specifying whether to remove missing values.
A flag specifying whether to also fill missing values.
A vector of probabilities.
A numeric vector of values between 0 and 1 of the probability of success.
A vector of quantiles.
A non-negative numeric vector of rate.
A flag specifying whether to return the deviance residual as opposed to the deviance.
A non-negative numeric vector of the standard deviations.
A non-negative multiplier on the standard deviation of the distribution.
A non-negative numeric vector of the standard deviations on the log scale.
A non-negative numeric vector of shape.
A flag specifying whether to simulate residuals.
A non-negative whole numeric vector of the number of trials.
A non-negative numeric vector of the dispersion for the mixture models (student, gamma-Poisson and beta-binomial).
A number of the threshold value.
A string of the residual type. 'raw' for raw residuals 'dev' for deviance residuals and 'data' for the data.
A scalar of the value to replace values with.
An object.
A flag is a non-missing logical scalar.
A string is a non-missing character scalar.