Man pages for distributional
Vectorised Probability Distributions
| cdf | The cumulative distribution function |
| covariance | Covariance |
| covariance.distribution | Covariance of a probability distribution |
| density.distribution | The probability density/mass function |
| dist_bernoulli | The Bernoulli distribution |
| dist_beta | The Beta distribution |
| dist_binomial | The Binomial distribution |
| dist_burr | The Burr distribution |
| dist_categorical | The Categorical distribution |
| dist_cauchy | The Cauchy distribution |
| dist_chisq | The (non-central) Chi-Squared Distribution |
| dist_degenerate | The degenerate distribution |
| dist_exponential | The Exponential Distribution |
| dist_f | The F Distribution |
| dist_gamma | The Gamma distribution |
| dist_geometric | The Geometric Distribution |
| dist_gev | The Generalized Extreme Value Distribution |
| dist_gh | The generalised g-and-h Distribution |
| dist_gk | The g-and-k Distribution |
| dist_gpd | The Generalized Pareto Distribution |
| dist_gumbel | The Gumbel distribution |
| dist_hypergeometric | The Hypergeometric distribution |
| dist_inflated | Inflate a value of a probability distribution |
| dist_inverse_exponential | The Inverse Exponential distribution |
| dist_inverse_gamma | The Inverse Gamma distribution |
| dist_inverse_gaussian | The Inverse Gaussian distribution |
| dist_logarithmic | The Logarithmic distribution |
| dist_logistic | The Logistic distribution |
| dist_lognormal | The log-normal distribution |
| dist_missing | Missing distribution |
| dist_mixture | Create a mixture of distributions |
| dist_multinomial | The Multinomial distribution |
| dist_multivariate_normal | The multivariate normal distribution |
| dist_negative_binomial | The Negative Binomial distribution |
| dist_normal | The Normal distribution |
| dist_pareto | The Pareto distribution |
| dist_percentile | Percentile distribution |
| dist_poisson | The Poisson Distribution |
| dist_poisson_inverse_gaussian | The Poisson-Inverse Gaussian distribution |
| distributional-package | distributional: Vectorised Probability Distributions |
| dist_sample | Sampling distribution |
| dist_studentized_range | The Studentized Range distribution |
| dist_student_t | The (non-central) location-scale Student t Distribution |
| dist_transformed | Modify a distribution with a transformation |
| dist_truncated | Truncate a distribution |
| dist_uniform | The Uniform distribution |
| dist_weibull | The Weibull distribution |
| dist_wrap | Create a distribution from p/d/q/r style functions |
| family.distribution | Extract the name of the distribution family |
| generate.distribution | Randomly sample values from a distribution |
| hdr | Compute highest density regions |
| hdr.distribution | Highest density regions of probability distributions |
| hilo | Compute intervals |
| hilo.distribution | Probability intervals of a probability distribution |
| is-distribution | Test if the object is a distribution |
| is_hdr | Is the object a hdr |
| is_hilo | Is the object a hilo |
| kurtosis | Kurtosis of a probability distribution |
| likelihood | The (log) likelihood of a sample matching a distribution |
| mean.distribution | Mean of a probability distribution |
| median.distribution | Median of a probability distribution |
| new_dist | Create a new distribution |
| new_hdr | Construct hdr intervals |
| new_hilo | Construct hilo intervals |
| new_support_region | Create a new support region vector |
| parameters | Extract the parameters of a distribution |
| quantile.distribution | Distribution Quantiles |
| reexports | Objects exported from other packages |
| skewness | Skewness of a probability distribution |
| support | Region of support of a distribution |
| variance | Variance |
| variance.distribution | Variance of a probability distribution |
