| cdf | Generic method for obtaining the cdf of an object. |
| cdf.empirical_dist | Method for obtaining the cdf of 'empirical_dist' object 'x'. |
| cdf.exponential | Method to obtain the cdf of an 'exponential' object. |
| cdf.mvn | Method for obtaining the CDF of a 'mvn' object. |
| cdf.normal | Method for obtaining the cdf of an 'normal' object. |
| conditional | Generic method for obtaining the conditional distribution of... |
| conditional.dist | Method for obtaining the condition distribution, 'x | P(x)',... |
| conditional.empirical_dist | Method for obtaining the condition distribution, 'x | P(x)',... |
| density.empirical_dist | Method for obtaining the pdf of a 'empirical_dist' object. |
| density.exponential | Method to obtain the pdf of an 'exponential' object. |
| density.mvn | Function generator for obtaining the pdf of an 'mvn' object... |
| density.normal | Method for obtaining the pdf of an 'normal' object. |
| dim.empirical_dist | Method for obtaining the dimension of a 'empirical_dist'... |
| dim.exponential | Method to obtain the dimension of an 'exponential' object. |
| dim.finite_set | Return the dimension of the finite set. |
| dim.interval | Return the dimension of the interval. |
| dim.mvn | Method for obtaining the dimension of an 'mvn' object. |
| dim.normal | Method for obtaining the dimension of a 'normal' object. |
| edist | Takes an expression 'e' and a list 'vars' and returns a lazy... |
| empirical_dist | Construct empirical distribution object. |
| expectation | Generic method for obtaining the expectation of 'f' with... |
| expectation_data | Function used for computing expectations given data (e.g.,... |
| expectation.dist | Expectation operator applied to 'x' of type 'dist' with... |
| expectation.empirical_dist | Method for obtaining the expectation of 'empirical_dist'... |
| expectation.univariate_dist | Method for obtaining the expectation of 'f' with respect to a... |
| exponential | Construct exponential distribution object. |
| finite_set | Finite set |
| has | Support |
| has.finite_set | Determine if a value is contained in the finite set. |
| has.interval | Determine if a value is contained in the interval. |
| hazard | Generic method for obtaining the hazard function of an... |
| hazard.exponential | Method to obtain the hazard function of an 'exponential'... |
| infimum | Get the infimum of the support. |
| infimum.finite_set | Return the infimum of the finite set. |
| infimum.interval | Return the (vector of) infimum of the interval. |
| interval | Interval |
| inv_cdf | Generic method for obtaining the quantile (inverse cdf) of an... |
| inv_cdf.exponential | Method to obtain the inverse cdf of an 'exponential' object. |
| inv_cdf.normal | Method for obtaining the inverse cdf of an 'normal' object. |
| is_dist | Function to determine whether an object 'x' is a 'dist'... |
| is_edist | Function to determine whether an object 'x' is an 'edist'... |
| is_empirical_dist | Function to determine whether an object 'x' is an... |
| is_exponential | Function to determine whether an object 'x' is an... |
| is_mvn | Function to determine whether an object 'x' is an 'mvn'... |
| is_normal | Function to determine whether an object 'x' is an 'normal'... |
| marginal | Generic method for obtaining the marginal distribution of a... |
| marginal.empirical_dist | Method for obtaining the marginal distribution of... |
| marginal.mvn | Generic method for obtaining the marginal distribution of an... |
| mean.edist | Method for obtaining the mean of an 'edist' object. |
| mean.empirical_dist | Method for obtaining the mean of 'empirical_dist' object 'x'. |
| mean.exponential | Method to obtain the mean of an 'exponential' object. |
| mean.mvn | Retrieve the mean of a 'mvn' object. |
| mean.normal | Retrieve the mean of a 'normal' object. |
| mean.univariate_dist | Method for obtaining the mean of 'univariate_dist' object... |
| mvn | Construct a multivariate or univariate normal distribution... |
| nobs.empirical_dist | Method for obtaining the number of observations used to... |
| normal | Construct univariate normal distribution object. |
| nparams | Generic method for obtaining the number of parameters of... |
| nparams.empirical_dist | Method for obtaining the name of a 'empirical_dist' object.... |
| obs | Retrieve the observations used to construct a... |
| obs.empirical_dist | Method for obtaining the observations used to construct a... |
| params | Generic method for obtaining the parameters of an object. |
| params.edist | Method for obtaining the parameters of an 'edist' object. |
| params.empirical_dist | 'empirical_dist' objects have no parameters, so this function... |
| params.exponential | Method for obtaining the parameters of an 'exponential'... |
| params.mvn | Method for obtaining the parameters of a 'mvn' object. |
| params.normal | Method for obtaining the parameters of a 'normal' object. |
| print.dist | Method for printing a 'dist' object |
| print.edist | Method for printing an 'edist' object. |
| print.empirical_dist | Method for printing a 'dist' object |
| print.exponential | Print method for 'exponential' objects. |
| print.interval | Print the interval. |
| print.mvn | Method for printing an 'mvn' object. |
| print.normal | Method for printing a 'normal' object. |
| print.summary_dist | Print method for 'summary_dist' objects. |
| rmap | Generic method for applying a map 'f' to distribution object... |
| rmap.dist | Method for obtaining g(x)) where x is a 'dist' object. |
| rmap.empirical_dist | Method for obtaining the empirical distribution of a function... |
| rmap.mvn | Computes the distribution of 'g(x)' where 'x' is an 'mvn'... |
| sample_mvn_region | Function for obtaining sample points for an 'mvn' object that... |
| sampler | Generic method for sampling from distribution-like objects. |
| sampler.edist | Method for obtaining the sampler of an 'edist' object. |
| sampler.empirical_dist | Method for obtaining the sampler for a 'empirical_dist'... |
| sampler.exponential | Method to sample from an 'exponential' object. |
| sampler.mvn | Function generator for sampling from a 'mvn' (multivariate... |
| sampler.normal | Method for sampling from a 'normal' object. |
| simplify | Generic method for simplifying distributions. |
| simplify.dist | Default Method for simplifming a 'dist' object. Just returns... |
| simplify.edist | Method for simplifying an 'edist' object. |
| summary_dist | Method for constructing a 'summary_dist' object. |
| summary.dist | Method for obtaining a summary of a 'dist' object. |
| sup | Generic method for retrieving the support of a (dist) object... |
| sup.empirical_dist | Method for obtaining the support of 'empirical_dist' object... |
| sup.exponential | Support for exponential distribution, the positive real... |
| sup.mvn | Method for obtaining the support of a 'mvn' object, where the... |
| sup.normal | Method for obtaining the support of a 'normal' object, where... |
| supremum | Get the supremum of the support. |
| supremum.finite_set | Return the supremum of the finite set. |
| supremum.interval | Return the (vector of) supremum of the interval. |
| surv | Generic method for obtaining the survival function of an... |
| surv.exponential | Method to obtain the cdf of an 'exponential' object. |
| vcov.edist | Method for obtaining the variance-covariance matrix (or... |
| vcov.empirical_dist | Method for obtaining the variance of 'empirical_dist' object... |
| vcov.exponential | Retrieve the variance of a 'exponential' object. |
| vcov.mvn | Retrieve the variance-covariance matrix of an 'mvn' object. |
| vcov.normal | Retrieve the variance-covariance matrix (or scalar) of a... |
| vcov.univariate_dist | Method for obtaining the variance of 'univariate_dist'... |
