Package index • dfr.dist

All functions

ad_hessian(): Compute Hessian via AD Jacobian of gradient
ad_utils: Automatic Differentiation Utilities for dfr.dist
cdf(<dfr_dist>): Method for obtaining the cdf of a dfr_dist object.
cum_haz(): Method for obtaining the cumulative hazard function of an object.
cum_haz(<dfr_dist>): Method for obtaining the hazard function of a dfr_dist object.
dfr_dist(): Constructor for dfr_dist objects
hazard(<dfr_dist>): Method for obtaining the hazard function of a dfr_dist object.
hess_loglik(<dfr_dist>): Hessian of log-likelihood for dfr_dist
inv_cdf(<dfr_dist>): Method for obtaining the quantile (inverse cdf) of an object.
is_dfr_dist(): Function for determining whether an object is a dfr_dist object.
loglik(<dfr_dist>): Log-likelihood method for dfr_dist objects
params(<dfr_dist>): Method for obtaining the parameters of a dfr_dist object.
pdf(<dfr_dist>): Method for obtaining the pdf of a dfr_dist object.
print(<dfr_dist>): Print method for dfr_dist objects.
sampler(<dfr_dist>): Sampling function for dfr_dist objects.
score(<dfr_dist>): Score function (gradient of log-likelihood) for dfr_dist
sup(<dfr_dist>): Method for retrieving the support of an object x.
surv(<dfr_dist>): Method for obtaining the survival function of a dfr_dist object.