Create and Evaluate Probability Distributions
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Documentation for package ‘distionary’ version 0.1.0
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| distionary-package | distionary: Create and Evaluate Probability Distributions |
| dgev | Representations of the Generalized Extreme Value Distribution |
| dgp | Representations of the Generalized Pareto Distribution |
| distionary | distionary: Create and Evaluate Probability Distributions |
| distribution | Distribution Objects |
| dst_bern | Bernoulli Distribution |
| dst_beta | Beta Distribution |
| dst_binom | Binomial Distribution |
| dst_cauchy | Cauchy Distribution |
| dst_chisq | Chi-Squared Distribution |
| dst_degenerate | Degenerate Distribution |
| dst_empirical | Empirical Distribution |
| dst_exp | Exponential Distribution |
| dst_f | F Distribution |
| dst_finite | Finite Distribution |
| dst_gamma | Gamma Distribution |
| dst_geom | Geometric Distribution |
| dst_gev | Generalised Extreme Value Distribution |
| dst_gp | Generalised Pareto Distribution |
| dst_hyper | Hypergeometric Distribution |
| dst_lnorm | Log Normal Distribution |
| dst_lp3 | Log Pearson Type III distribution |
| dst_nbinom | Negative binomial Distribution |
| dst_norm | Normal (Gaussian) Distribution |
| dst_null | Null Distribution |
| dst_pearson3 | Pearson Type III distribution |
| dst_pois | Poisson Distribution |
| dst_t | Student t Distribution |
| dst_unif | Uniform Distribution |
| dst_weibull | Weibull Distribution |
| enframe_cdf | Cumulative Distribution Function |
| enframe_chf | Cumulative Hazard Function |
| enframe_density | Probability Density Function |
| enframe_hazard | Hazard Function |
| enframe_odds | Odds Function |
| enframe_pmf | Probability Mass Function |
| enframe_quantile | Distribution Quantiles |
| enframe_return | Return Level Function |
| enframe_survival | Survival Function |
| eval_cdf | Cumulative Distribution Function |
| eval_chf | Cumulative Hazard Function |
| eval_density | Probability Density Function |
| eval_hazard | Hazard Function |
| eval_odds | Odds Function |
| eval_pmf | Probability Mass Function |
| eval_property | Evaluate a distribution |
| eval_quantile | Distribution Quantiles |
| eval_return | Return Level Function |
| eval_survival | Survival Function |
| is.distribution | Distribution Objects |
| is_distribution | Distribution Objects |
| kurtosis | Moments of a Distribution |
| kurtosis_exc | Moments of a Distribution |
| mean.dst | Moments of a Distribution |
| median.dst | Median of a Distribution |
| parameters | Parameters of a Distribution |
| parameters<- | Parameters of a Distribution |
| pgev | Representations of the Generalized Extreme Value Distribution |
| pgp | Representations of the Generalized Pareto Distribution |
| plot.dst | Plot a Distribution |
| pretty_name | Distribution name |
| prob_left | Find the probability left or right of a number |
| prob_right | Find the probability left or right of a number |
| qgev | Representations of the Generalized Extreme Value Distribution |
| qgp | Representations of the Generalized Pareto Distribution |
| range.dst | Range of Distribution |
| realise | Generate a Sample from a Distribution |
| realize | Generate a Sample from a Distribution |
| skewness | Moments of a Distribution |
| stdev | Moments of a Distribution |
| variance | Moments of a Distribution |
| vtype | Variable Type of a Distribution |