| affine_transform | Affine transformation of a normal or multivariate normal... |
| as_dist | Convert an object to a probability distribution. |
| beta_dist | Construct a beta distribution object. |
| cdf | Generic method for obtaining the cdf of an object. |
| cdf.beta_dist | Cumulative distribution function for a beta distribution. |
| cdf.chi_squared | Method for obtaining the cdf of a 'chi_squared' object. |
| cdf.edist | CDF for expression distributions. |
| 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.gamma_dist | Method for obtaining the cdf of a 'gamma_dist' object. |
| cdf.lognormal | Cumulative distribution function for a log-normal... |
| cdf.mixture | Cumulative distribution function for a mixture distribution. |
| cdf.mvn | Method for obtaining the CDF of a 'mvn' object. |
| cdf.normal | Method for obtaining the cdf of an 'normal' object. |
| cdf.poisson_dist | Cumulative distribution function for a Poisson distribution. |
| cdf.uniform_dist | Cumulative distribution function for a uniform distribution. |
| cdf.weibull_dist | Cumulative distribution function for a Weibull distribution. |
| chi_squared | Construct a chi-squared distribution object. |
| clt | Central Limit Theorem Limiting Distribution |
| conditional | Generic method for obtaining the conditional distribution of... |
| conditional.dist | Method for obtaining the condition distribution, 'x | P(x)',... |
| conditional.edist | Conditional distribution for expression distributions. |
| conditional.empirical_dist | Method for obtaining the condition distribution, 'x | P(x)',... |
| conditional.mixture | Conditional distribution of a mixture. |
| conditional.mvn | Conditional distribution for multivariate normal. |
| countable_set | Countable Set |
| delta_clt | Delta Method CLT Limiting Distribution |
| density.beta_dist | Probability density function for a beta distribution. |
| density.chi_squared | Method for obtaining the density (pdf) of a 'chi_squared'... |
| density.edist | Density for expression distributions. |
| 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.gamma_dist | Method for obtaining the density (pdf) of a 'gamma_dist'... |
| density.lognormal | Probability density function for a log-normal distribution. |
| density.mixture | Probability density function for a mixture distribution. |
| density.mvn | Function generator for obtaining the pdf of an 'mvn' object... |
| density.normal | Method for obtaining the pdf of an 'normal' object. |
| density.poisson_dist | Probability mass function for a Poisson distribution. |
| density.uniform_dist | Probability density function for a uniform distribution. |
| density.weibull_dist | Probability density function for a Weibull distribution. |
| dim.beta_dist | Dimension of a beta distribution (always 1). |
| dim.chi_squared | Retrieve the dimension of a 'chi_squared' object. |
| dim.countable_set | Get the dimension of a countable set. |
| 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.gamma_dist | Retrieve the dimension of a 'gamma_dist' object. |
| dim.interval | Return the dimension of the interval. |
| dim.lognormal | Dimension of a log-normal distribution (always 1). |
| dim.mixture | Dimension of a mixture distribution. |
| dim.mvn | Method for obtaining the dimension of an 'mvn' object. |
| dim.normal | Method for obtaining the dimension of a 'normal' object. |
| dim.poisson_dist | Dimension of a Poisson distribution (always 1). |
| dim.uniform_dist | Dimension of a uniform distribution (always 1). |
| dim.weibull_dist | Dimension of a Weibull distribution (always 1). |
| dist_summary_group | Summary group generic for distribution objects. |
| dot-dist | Method for negation or subtraction of 'dist' objects. |
| edist | Takes an expression 'e' and a list 'vars' and returns a lazy... |
| empirical_dist | Construct empirical distribution object. |
| ensure_realized | Memoized MC fallback materialization. |
| expectation | Generic method for obtaining the expectation of 'f' with... |
| expectation_data | Function used for computing expectations given data (e.g.,... |
| expectation.dist | Expectation of a Function Applied to a 'dist' Object |
| expectation.empirical_dist | Method for obtaining the expectation of 'empirical_dist'... |
| expectation.poisson_dist | Exact expectation for a Poisson distribution. |
| expectation.univariate_dist | Method for obtaining the expectation of 'f' with respect to a... |
| exponential | Construct exponential distribution object. |
| finite_set | Finite set |
| format.beta_dist | Format a 'beta_dist' object as a character string. |
| format.chi_squared | Format a 'chi_squared' object as a character string. |
| format.edist | Format method for 'edist' objects. |
| format.empirical_dist | Format method for 'empirical_dist' objects. |
| format.exponential | Format method for 'exponential' objects. |
| format.gamma_dist | Format a 'gamma_dist' object as a character string. |
| format.lognormal | Format a 'lognormal' object as a character string. |
| format.mixture | Format a 'mixture' object as a character string. |
| format.mvn | Format method for 'mvn' objects. |
| format.normal | Format method for 'normal' objects. |
| format.poisson_dist | Format a 'poisson_dist' object as a character string. |
| format.realized_dist | Format a 'realized_dist' object as a character string. |
| format.uniform_dist | Format a 'uniform_dist' object as a character string. |
| format.weibull_dist | Format a 'weibull_dist' object as a character string. |
| gamma_dist | Construct a gamma distribution object. |
| has | Support |
| has.countable_set | Check membership in a countable set. |
| 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.chi_squared | Method for obtaining the hazard function of a 'chi_squared'... |
| hazard.exponential | Method to obtain the hazard function of an 'exponential'... |
| hazard.gamma_dist | Method for obtaining the hazard function of a 'gamma_dist'... |
| hazard.lognormal | Hazard function for a log-normal distribution. |
| hazard.weibull_dist | Hazard function for a Weibull distribution. |
| infimum | Get the infimum of the support. |
| infimum.countable_set | Get the infimum of a countable set. |
| 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.beta_dist | Inverse CDF (quantile function) for a beta distribution. |
| inv_cdf.chi_squared | Method for obtaining the inverse cdf (quantile function) of a... |
| inv_cdf.edist | Inverse CDF (quantile function) for expression distributions. |
| inv_cdf.empirical_dist | Method for obtaining the inverse CDF (quantile function) of a... |
| inv_cdf.exponential | Method to obtain the inverse cdf of an 'exponential' object. |
| inv_cdf.gamma_dist | Method for obtaining the inverse cdf (quantile function) of a... |
| inv_cdf.lognormal | Inverse CDF (quantile function) for a log-normal... |
| inv_cdf.normal | Method for obtaining the inverse cdf of an 'normal' object. |
| inv_cdf.poisson_dist | Inverse CDF (quantile function) for a Poisson distribution. |
| inv_cdf.uniform_dist | Inverse CDF (quantile function) for a uniform distribution. |
| inv_cdf.weibull_dist | Inverse CDF (quantile function) for a Weibull distribution. |
| is_beta_dist | Test whether an object is a 'beta_dist'. |
| is_chi_squared | Test whether an object is a 'chi_squared'. |
| 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_gamma_dist | Test whether an object is a 'gamma_dist'. |
| is_lognormal | Test whether an object is a 'lognormal'. |
| is_mixture | Test whether an object is a 'mixture' distribution. |
| is_mvn | Function to determine whether an object 'x' is an 'mvn'... |
| is_normal | Function to determine whether an object 'x' is an 'normal'... |
| is_poisson_dist | Test whether an object is a 'poisson_dist'. |
| is_realized_dist | Test whether an object is a 'realized_dist'. |
| is_uniform_dist | Test whether an object is a 'uniform_dist'. |
| is_weibull_dist | Test whether an object is a 'weibull_dist'. |
| lln | Law of Large Numbers Limiting Distribution |
| lognormal | Construct a log-normal distribution object. |
| marginal | Generic method for obtaining the marginal distribution of a... |
| marginal.empirical_dist | Method for obtaining the marginal distribution of... |
| marginal.mixture | Marginal distribution of a mixture. |
| marginal.mvn | Generic method for obtaining the marginal distribution of an... |
| Math.dist | Math group generic for distribution objects. |
| mean.beta_dist | Mean of a beta distribution. |
| mean.chi_squared | Retrieve the mean of a 'chi_squared' object. |
| 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.gamma_dist | Retrieve the mean of a 'gamma_dist' object. |
| mean.lognormal | Mean of a log-normal distribution. |
| mean.mixture | Mean of a mixture distribution. |
| mean.mvn | Retrieve the mean of a 'mvn' object. |
| mean.normal | Retrieve the mean of a 'normal' object. |
| mean.poisson_dist | Mean of a Poisson distribution. |
| mean.uniform_dist | Mean of a uniform distribution. |
| mean.univariate_dist | Method for obtaining the mean of 'univariate_dist' object... |
| mean.weibull_dist | Mean of a Weibull distribution. |
| mixture | Construct a mixture distribution. |
| 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. |
| normal_approx | Moment-Matching Normal Approximation |
| nparams | Generic method for obtaining the number of parameters of... |
| nparams.empirical_dist | Method for obtaining the name of a 'empirical_dist' object.... |
| nparams.mixture | Number of parameters for a 'mixture' distribution. |
| 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.beta_dist | Retrieve the parameters of a 'beta_dist' object. |
| params.chi_squared | Method for obtaining the parameters of a 'chi_squared'... |
| 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.gamma_dist | Method for obtaining the parameters of a 'gamma_dist' object. |
| params.lognormal | Retrieve the parameters of a 'lognormal' object. |
| params.mixture | Retrieve the parameters of a 'mixture' object. |
| params.mvn | Method for obtaining the parameters of a 'mvn' object. |
| params.normal | Method for obtaining the parameters of a 'normal' object. |
| params.poisson_dist | Retrieve the parameters of a 'poisson_dist' object. |
| params.uniform_dist | Retrieve the parameters of a 'uniform_dist' object. |
| params.weibull_dist | Retrieve the parameters of a 'weibull_dist' object. |
| plus-.dist | Method for adding 'dist' objects, or shifting a distribution... |
| poisson_dist | Construct a Poisson distribution object. |
| pow-.dist | Power operator for distribution objects. |
| print.beta_dist | Print a 'beta_dist' object. |
| print.chi_squared | Print method for 'chi_squared' objects. |
| print.edist | Print method for 'edist' objects. |
| print.empirical_dist | Print method for 'empirical_dist' objects. |
| print.exponential | Print method for 'exponential' objects. |
| print.gamma_dist | Print method for 'gamma_dist' objects. |
| print.interval | Print the interval. |
| print.lognormal | Print a 'lognormal' object. |
| print.mixture | Print a 'mixture' object. |
| print.mvn | Method for printing an 'mvn' object. |
| print.normal | Print method for 'normal' objects. |
| print.poisson_dist | Print a 'poisson_dist' object. |
| print.realized_dist | Print a 'realized_dist' object. |
| print.summary_dist | Print method for 'summary_dist' objects. |
| print.uniform_dist | Print a 'uniform_dist' object. |
| print.weibull_dist | Print a 'weibull_dist' object. |
| realize | Materialize any distribution to empirical_dist by sampling. |
| realized_dist | Construct a realized distribution object. |
| 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.edist | Map function over expression distribution. |
| 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.beta_dist | Sampler for a beta distribution. |
| sampler.chi_squared | Method for sampling from a 'chi_squared' object. |
| sampler.default | Sampler for non-dist objects (degenerate distributions). |
| 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.gamma_dist | Method for sampling from a 'gamma_dist' object. |
| sampler.lognormal | Sampler for a log-normal distribution. |
| sampler.mixture | Sampler for a mixture distribution. |
| sampler.mvn | Function generator for sampling from a 'mvn' (multivariate... |
| sampler.normal | Method for sampling from a 'normal' object. |
| sampler.poisson_dist | Sampler for a Poisson distribution. |
| sampler.uniform_dist | Sampler for a uniform distribution. |
| sampler.weibull_dist | Sampler for a Weibull distribution. |
| simplify | Generic method for simplifying distributions. |
| simplify.dist | Default Method for simplifying a 'dist' object. Just returns... |
| simplify.edist | Method for simplifying an 'edist' object. |
| slash-.dist | Division of distribution objects. |
| 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.beta_dist | Support of a beta distribution. |
| sup.chi_squared | Support for chi-squared distribution, the positive real... |
| sup.edist | Support for expression distributions. |
| sup.empirical_dist | Method for obtaining the support of 'empirical_dist' object... |
| sup.exponential | Support for exponential distribution, the positive real... |
| sup.gamma_dist | Support for gamma distribution, the positive real numbers (0,... |
| sup.lognormal | Support of a log-normal distribution. |
| sup.mixture | Support of a mixture distribution. |
| 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... |
| sup.poisson_dist | Support of a Poisson distribution. |
| supremum | Get the supremum of the support. |
| supremum.countable_set | Get the supremum of a countable set. |
| supremum.finite_set | Return the supremum of the finite set. |
| supremum.interval | Return the (vector of) supremum of the interval. |
| sup.uniform_dist | Support of a uniform distribution. |
| sup.weibull_dist | Support of a Weibull distribution. |
| surv | Generic method for obtaining the survival function of an... |
| surv.chi_squared | Method for obtaining the survival function of a 'chi_squared'... |
| surv.exponential | Method to obtain the cdf of an 'exponential' object. |
| surv.gamma_dist | Method for obtaining the survival function of a 'gamma_dist'... |
| surv.lognormal | Survival function for a log-normal distribution. |
| surv.weibull_dist | Survival function for a Weibull distribution. |
| times-.dist | Multiplication of distribution objects. |
| uniform_dist | Construct a uniform distribution object. |
| vcov.beta_dist | Variance of a beta distribution. |
| vcov.chi_squared | Retrieve the variance of a 'chi_squared' object. |
| vcov.default | Variance-covariance for non-dist objects (degenerate... |
| 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.gamma_dist | Retrieve the variance of a 'gamma_dist' object. |
| vcov.lognormal | Variance of a log-normal distribution. |
| vcov.mixture | Variance of a mixture distribution. |
| vcov.mvn | Retrieve the variance-covariance matrix of an 'mvn' object. |
| vcov.normal | Retrieve the variance-covariance matrix (or scalar) of a... |
| vcov.poisson_dist | Variance of a Poisson distribution. |
| vcov.uniform_dist | Variance of a uniform distribution. |
| vcov.univariate_dist | Method for obtaining the variance of 'univariate_dist'... |
| vcov.weibull_dist | Variance of a Weibull distribution. |
| weibull_dist | Construct a Weibull distribution object. |
