Package index • dfr.dist

All functions

assumptions(<dfr_dist>): Retrieve the assumptions a DFR distribution makes about the data
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 cumulative hazard function of a dfr_dist object.
density(<dfr_dist>): Method for obtaining the density (pdf) of a dfr_dist object.
dfr_dist(): Constructor for dfr_dist objects
dfr_exponential(): Exponential Distribution (Constant Hazard)
dfr_gompertz(): Gompertz Distribution (Exponential Growth Hazard)
dfr_loglogistic(): Log-Logistic Distribution (Non-Monotonic Hazard)
dfr_weibull(): Weibull Distribution (Power-Law Hazard)
diagnostics: Diagnostic Methods for DFR Distributions
distributions: Classic Survival Distribution Constructors
fit(<dfr_dist>): MLE solver 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.
plot(<dfr_dist>): Plot DFR Distribution Functions
print(<dfr_dist>): Print method for dfr_dist objects.
qqplot_residuals(): Q-Q Plot for Cox-Snell Residuals
residuals(<dfr_dist>): Residuals for DFR Distribution Fits
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.