Man pages for tfojo1/distributions
| Autoregressive.Multivariate.Normal.Distribution | Create a multivariate normal distribution with a Continuous... |
| Bernoulli.Distribution | Create a Univariate Bernoulli Distribution Object |
| Beta.Distribution | Create a Univariate Beta Distribution Object |
| Binomial.Distribution | Create a Univariate Binomial Distribution Object |
| calculate.cdf | Calculate the cumulative distribution function for a... |
| calculate.density | Calculate the density for a distribution |
| calculate.marginal.cdfs | Calculate a marginal cumulative distribution function for... |
| calculate.marginal.densities | Calculate a marginal density for each variable in a... |
| Canonical_Mixture_Distribution | The Canonical_Mixture_Distribution class |
| Canonical.Mixture.Distribution | Create a mixture distribution object based off of a... |
| Compound.Symmetry.Multivariate.Normal.Distribution | Create a multivariate normal distribution with a Compound... |
| Constant_Distribution | The Constant_Distribution class |
| Constant.Distribution | Create a distribution representing a Constant Distribution |
| Continuous.Support | Create an object which represents support over a range of... |
| create.transformation | Create an object representing a transformation |
| Discrete_Set_Distribution | The Discrete_Set_Distribution class |
| Discrete.Set.Distribution | Create a distribution representing a Discrete Set |
| Discrete_Set_Support | An object representing support over an arbitrary set of real... |
| Discrete.Set.Support | Create a support over an arbitrary set of values |
| Distribution | The abstract superclass for all Distribution objects |
| distributions.equal | Tests whether two Distribution objects represent the same... |
| do.calculate.cdf | Internal function for subclasses to calculate the cumulative... |
| do.calculate.density | Internal function for subclasses to calculate the density for... |
| do.calculate.marginal.cdfs | Internal function for subclasses tocalculate a marginal... |
| do.calculate.marginal.densities | An internal function for subclasses to calculate a marginal... |
| do.generate.random.marginal.samples | Internal function for subclasses to generate marginal random... |
| do.generate.random.samples | Internal function for subclasses to generate random samples... |
| do.get.covariance.matrix | Internal function for subclasses to get the... |
| do.get.equal.tailed.intervals | Internal function for subclasses to get equal-tailed... |
| do.get.highest.density.intervals | Internal function for subclasses to get equal-tailed... |
| do.get.means | Internal function for subclasses to get means of the... |
| do.get.medians | Internal function for subclasses to get medians of the... |
| do.get.quantiles | Internal function for subclasses to get quantiles for the... |
| do.get.sds | An internal function for subclasses to get the standard... |
| do.subset.distribution | Internal function for subclasses to get a distribution that... |
| Empiric_Distribution | The Empiric_Distribution Class |
| Empiric.Distribution | Create an empiric distribution from a set of samples |
| generate.random.marginal.samples | Generate marginal random samples for each variable in a... |
| generate.random.samples | Generate random samples from a distribution |
| get.covariance.matrix | Get the variance-covariance matrix for variables in a... |
| get.defined.transformation | Get Pre-Defined Transformation Objects by Name |
| get.density.function | Get a function that calculates the density for the... |
| get.description | Get the description of a Distribution object |
| get.equal.tailed.intervals | Get equal-tailed intervals (confidence/credible intervals)... |
| get.highest.density.intervals | Get highest-density intervals (confidence/credible intervals)... |
| get.intervals | Get intervals (confidence/credible intervals) for the... |
| get.means | Get means of the variables in a distribution |
| get.medians | Get medians of the variables in a distribution |
| get.quantiles | Get quantiles for the variables in a distribution |
| get.random.generator.function | Get a function that generates random samples form the... |
| get.sds | Get the standard deviations of the variables in a... |
| get.support.bounds | Get the maximum and minimm values within a support over real... |
| initialize-Distribution-method | A constructor |
| Integer.Support | Create an object which represents support over a range of... |
| is.supported | Test if numeric values fall within a defined support |
| join.distributions | Join Multiple Distributions |
| Joint_Independent_Distributions | The Joint_Independent_Distributions class |
| Logitnormal.Distribution | Create a Univariate Logit-Normal Distribution Object |
| Logitnormal.Mixture | Create a Mixture Univariate Logit-Normal Distributions |
| Logituniform.Distribution | Create a Logit-Uniform Distribution Object |
| Lognormal.Distribution | Create a Univariate Log-Normal Distribution Object |
| Lognormal.Mixture | Create a Mixture of Univariate Log-Normal Distributions |
| Loguniform.Distribution | Create a Log-Uniform Distribution Object |
| Multivariate.Correlated.Uniform.Distribution | Create a Multivariate Uniform Distribution Object Where the... |
| Multivariate.Logitnormal.Distribution | Create a Multivariate Logit-Normal Distribution Object |
| Multivariate.Lognormal.Distribution | Create a Multivariate Log-Normal Distribution Object |
| Multivariate_Normal_Distribution | The Multivariate_Normal_Distribution Class |
| Multivariate.Normal.Distribution | Create a Multivariate Normal Distribution Object |
| Multivariate_Support | An object representing support (on the real numbers) over... |
| Multivariate.Support | Join multiple Support objects into a multivariate Support |
| Normal.Distribution | Create a Univariate Normal Distribution Object |
| Normal.Mixture | Create a Mixture of Univariate Normal Distributions |
| Range_Support | An object representing support over a range of real numbers |
| separate.independent.distributions | Separate a distribution object into a list of distributions... |
| set.var.names | Sets the variable names for a Distribution Object |
| Smoothed_Empiric_Distribution | The Smoothed_Empiric_Distribution Class |
| Smoothed.Empiric.Distribution | Create an smoothed empiric distribution from a set of samples |
| subset.distribution | Get a distribution that describes a subset of the variables... |
| subset.support | Subset a Support object |
| Support | An object representing support over real numbers |
| Support.Union | Join multiple univariate Support objects into one univariate... |
| transformation | The transformation class |
| Transformed.Multivariate.Normal.Distribution | Create a transformed multivariate normal distribution object |
| Transformed.Normal.Distribution | Create a Distribution of a Random Variable that is Normal... |
| Transformed.Normal.Mixture | Create a Mixture of Transformed Normal Distributions |
| Uniform.Distribution | Create a Uniform Distribution Object |
| Union_Support | An object representing the union of two or more supports over... |
| Univariate_Canonical_Distribution | The Univariate_Canonical_Distribution class |
| Univariate.Canonical.Distribution | Create a distribution object based off of a canonical,... |
