Package index
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check_logical() - Checks a variable is a single logical value (and optionally not missing)
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check_numeric() - Checks a variable is a single number (and optionally, in a range and not NA)
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estimate_mixture_of_two_normals() - Estimate the parameters of a mixture of two normal distributions
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logistic() - logistic(x) = 1 / (1 + exp(-x)), a wrapper for
stats::plogis() -
logit() - logit(p) = log(p / (1 - p)), a wrapper for
stats::qlogis() -
plot_posterior() - Plots the marginal posteriors of each parameter in a stanfit object
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posterior_intervals() - Calculates central probability intervals for each parameter for each stanfit object
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posterior_mass_in_range() - Calculates the amount of probability (mass) a parameter has in a range
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posterior_means()posterior_medians() - Calculates the mean or median for each parameter for each stanfit object
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rename_params_cmdstanfile_to_rstan() - Renames tensor parameters from cmdstandr to rstan format
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simulate_mixture_of_two_normals() - Simulate (randomly draw) numbers from a mixture of two normal distributions.
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stan_example_regression - Example data from Stan analysis of simple linear normal regression
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stanfit_to_matrix()stanfit_to_dt() - Converts a stanfit object to a matrix or data.table
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uniroot.vectorized() - Vectorised uniroot
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R6.class() - Class: R6.class
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R6.interface() - R6.interface
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R6.interface.implements() - R6.interface.implements
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Mastiff-Distributions - Distribution Classes
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is.distribution() - is.distribution
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distribution.mixture() - distribution.mixture
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distribution.binomial() - distribution.binomial
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distribution.negative_binomial() - distribution.negative_binomial
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distribution.point_mass() - distribution.point_mass
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distribution.poisson() - distribution.poisson
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distribution.exponential() - distribution.exponential
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distribution.gamma() - distribution.gamma
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distribution.lognormal() - distribution.lognormal
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distribution.normal() - distribution.normal
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distribution.uniform() - distribution.uniform
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distribution.abstract.class - Class:
distribution.abstract.class -
distribution.continuous.class - Class:
distribution.continuous.class -
distribution.continuous.exponential.class - Class:
distribution.continuous.exponential.class -
distribution.continuous.gamma.class - Class:
distribution.continuous.gamma.class -
distribution.continuous.lognormal.class - Class:
distribution.continuous.lognormal.class -
distribution.continuous.normal.class - Class:
distribution.continuous.normal.class -
distribution.continuous.uniform.class - Class:
distribution.continuous.uniform.class -
distribution.discrete.binomial.class - Class:
distribution.discrete.binomial.class -
distribution.discrete.class - Class:
distribution.discrete.class -
distribution.discrete.negative_binomial.class - Class:
distribution.discrete.negative_binomial.class -
distribution.discrete.point_mass.class - Class:
distribution.discrete.point_mass.class -
distribution.discrete.poisson.class - Class:
distribution.discrete.poisson.class -
distribution.mixture.class - Class:
distribution.mixture.class