*.dist                  Multiplication of distribution objects.
+.dist                  Method for adding 'dist' objects, or shifting a
                        distribution by a scalar.
-.dist                  Method for negation or subtraction of 'dist'
                        objects.
/.dist                  Division of distribution objects.
Math.dist               Math group generic for distribution objects.
Summary.dist            Summary group generic for distribution objects.
^.dist                  Power operator for distribution objects.
affine_transform        Affine transformation of a normal or
                        multivariate normal distribution.
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 distribution.
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 a distribution object 'x' given
                        condition 'P'.
conditional.dist        Method for obtaining the condition
                        distribution, 'x | P(x)', of 'dist' object 'x'.
conditional.edist       Conditional distribution for expression
                        distributions.
conditional.empirical_dist
                        Method for obtaining the condition
                        distribution, 'x | P(x)', of 'empirical_dist'
                        object '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' object.
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' object.
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 (multivariate normal).
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.edist               Method for obtaining the dimension of an
                        'edist' object.
dim.empirical_dist      Method for obtaining the dimension of a
                        'empirical_dist' object.
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).
edist                   Takes an expression 'e' and a list 'vars' and
                        returns a lazy 'edist' (expression distribution
                        object), that is a subclass of 'dist' that can
                        be used in place of a 'dist' object.
empirical_dist          Construct empirical distribution object.
expectation             Generic method for obtaining the expectation of
                        'f' with respect to 'x'.
expectation.dist        Expectation of a Function Applied to a 'dist'
                        Object
expectation.empirical_dist
                        Method for obtaining the expectation of
                        'empirical_dist' object 'x' under function 'g'.
expectation.poisson_dist
                        Exact expectation for a Poisson distribution.
expectation.univariate_dist
                        Method for obtaining the expectation of 'f'
                        with respect to a 'univariate_dist' object 'x'.
expectation_data        Function used for computing expectations given
                        data (e.g., from an MC simulation or
                        bootstrap). it expects a matrix, or something
                        that can be coerced to a matrix (e.g., a data
                        frame). it also expects a function 'g' to apply
                        to each row of the data, and returns the
                        expectation of 'g' under the empirical
                        distribution of the data. it also returns a
                        confidence interval for the expectation, and
                        the number of samples used to compute the
                        expectation.
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.chi_squared      Method for obtaining the hazard function of a
                        'chi_squared' object.
hazard.continuous_dist
                        Default hazard function for continuous
                        distributions.
hazard.exponential      Method to obtain the hazard function of an
                        'exponential' object.
hazard.gamma_dist       Method for obtaining the hazard function of a
                        'gamma_dist' object.
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 object.
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 'chi_squared' object.
inv_cdf.edist           Inverse CDF (quantile function) for expression
                        distributions.
inv_cdf.empirical_dist
                        Method for obtaining the inverse CDF (quantile
                        function) of a univariate 'empirical_dist'
                        object.
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 'gamma_dist' object.
inv_cdf.lognormal       Inverse CDF (quantile function) for a
                        log-normal distribution.
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' object.
is_edist                Function to determine whether an object 'x' is
                        an 'edist' object.
is_empirical_dist       Function to determine whether an object 'x' is
                        an 'empirical_dist' object.
is_exponential          Function to determine whether an object 'x' is
                        an 'exponential' object.
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' object.
is_normal               Function to determine whether an object 'x' is
                        an 'normal' object.
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 distribution object 'x' over
                        components 'indices'.
marginal.empirical_dist
                        Method for obtaining the marginal distribution
                        of 'empirical_dist' object 'x'.
marginal.mixture        Marginal distribution of a mixture.
marginal.mvn            Generic method for obtaining the marginal
                        distribution of an 'mvn' object 'x' over
                        components 'indices'.
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 'x'.
mean.weibull_dist       Mean of a Weibull distribution.
mixture                 Construct a mixture distribution.
mvn                     Construct a multivariate or univariate normal
                        distribution object.
nobs.empirical_dist     Method for obtaining the number of observations
                        used to construct a 'empirical_dist' object.
normal                  Construct univariate normal distribution
                        object.
normal_approx           Moment-Matching Normal Approximation
nparams                 Generic method for obtaining the number of
                        parameters of distribution-like object 'x'.
nparams.empirical_dist
                        Method for obtaining the name of a
                        'empirical_dist' object. Since the empirical
                        distribution is parameter-free, this function
                        returns 0.
nparams.mixture         Number of parameters for a 'mixture'
                        distribution.
obs                     Retrieve the observations used to construct a
                        distribution-like object. This is useful for
                        obtaining the data used to construct an
                        empirical distribution, but it is also useful
                        for, say, retrieving the sample that was used
                        by a fitted object, like an maximum likelihood
                        estimate.
obs.empirical_dist      Method for obtaining the observations used to
                        construct a 'empirical_dist' object.
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' object.
params.edist            Method for obtaining the parameters of an
                        'edist' object.
params.empirical_dist   'empirical_dist' objects have no parameters, so
                        this function returns NULL.
params.exponential      Method for obtaining the parameters of an
                        'exponential' object.
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.
poisson_dist            Construct a Poisson distribution object.
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.
rmap                    Generic method for applying a map 'f' to
                        distribution object 'x'.
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 of the observations of
                        'empirical_dist' object 'x'.
rmap.mvn                Computes the distribution of 'g(x)' where 'x'
                        is an 'mvn' object.
sample_mvn_region       Function for obtaining sample points for an
                        'mvn' object that is within the 'p'-probability
                        region. That is, it samples from the smallest
                        region of the distribution that contains 'p'
                        probability mass. This is done by first
                        sampling from the entire distribution, then
                        rejecting samples that are not in the
                        probability region (using the statistical
                        distance 'mahalanobis' from 'mu').
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' object.
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 normal) object.
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 the object.
simplify.edist          Method for simplifying an 'edist' object.
summary.dist            Method for obtaining a summary of a 'dist'
                        object.
summary_dist            Method for constructing a 'summary_dist'
                        object.
sup                     Generic method for retrieving the support of a
                        (dist) object 'x'.
sup.beta_dist           Support of a beta distribution.
sup.chi_squared         Support for chi-squared distribution, the
                        positive real numbers (0, Inf).
sup.edist               Support for expression distributions.
sup.empirical_dist      Method for obtaining the support of
                        'empirical_dist' object 'x'.
sup.exponential         Support for exponential distribution, the
                        positive real numbers, (0, Inf).
sup.gamma_dist          Support for gamma distribution, the positive
                        real numbers (0, Inf).
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 support is defined as values
                        that have non-zero probability density.
sup.normal              Method for obtaining the support of a 'normal'
                        object, where the support is defined as values
                        that have non-zero probability density.
sup.poisson_dist        Support of a Poisson distribution.
sup.uniform_dist        Support of a uniform distribution.
sup.weibull_dist        Support of a Weibull 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.
surv.chi_squared        Method for obtaining the survival function of a
                        'chi_squared' object.
surv.continuous_dist    Default survival function for continuous
                        distributions.
surv.exponential        Method to obtain the survival function of an
                        'exponential' object.
surv.gamma_dist         Method for obtaining the survival function of a
                        'gamma_dist' object.
surv.lognormal          Survival function for a log-normal
                        distribution.
surv.weibull_dist       Survival function for a Weibull distribution.
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 distributions).
vcov.edist              Method for obtaining the variance-covariance
                        matrix (or scalar)
vcov.empirical_dist     Method for obtaining the variance of
                        'empirical_dist' object 'x'.
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 'normal' object.
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' object.
vcov.weibull_dist       Variance of a Weibull distribution.
weibull_dist            Construct a Weibull distribution object.
