Package index • mastiff

check_logical(): Checks a variable is a single logical value (and optionally not missing)
check_numeric(): Checks a variable is a single number (and optionally, in a range and not NA)
estimate_mixture_of_two_normals(): Estimate the parameters of a mixture of two normal distributions
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
posterior_intervals(): Calculates central probability intervals for each parameter for each stanfit object
posterior_mass_in_range(): Calculates the amount of probability (mass) a parameter has in a range
posterior_means() posterior_medians(): Calculates the mean or median for each parameter for each stanfit object
read_cmdstan_out_files(): Reads posterior output files from cmdstan into a dataframe
rename_params_cmdstanfile_to_rstan(): Renames tensor parameters from cmdstan to rstan format
run_stan_interfaces(): Run one of rstan, cmdstanr or cmdstan on a file of Stan code
simulate_mixture_of_two_normals(): Simulate (randomly draw) numbers from a mixture of two normal distributions.
stan_example_regression: Example data from Stan analysis of simple linear normal regression
stanfit_to_matrix() stanfit_to_dt(): Converts a stanfit object to a matrix or data.table
uniroot.vectorized(): Vectorised uniroot

R6 Interface Classes

Class definitions for an extension to R6 classes including interfaces

R6.class(): Class: R6.class
R6.interface(): R6.interface
R6.interface.implements(): R6.interface.implements

R6 Distribution Classes

Constructor functions for R6 distribution classes

Mastiff-Distributions: Distribution Classes
is.distribution(): is.distribution
distribution.mixture(): distribution.mixture

Discrete Distributions

distribution.beta(): distribution.beta
distribution.beta_binomial(): distribution.beta_binomial
distribution.binomial(): distribution.binomial
distribution.finite_set(): distribution.finite_set
distribution.negative_binomial(): distribution.negative_binomial
distribution.point_mass(): distribution.point_mass
distribution.poisson(): distribution.poisson

Continuous Distributions

distribution.exponential(): distribution.exponential
distribution.gamma(): distribution.gamma
distribution.lognormal(): distribution.lognormal
distribution.normal(): distribution.normal
distribution.uniform(): distribution.uniform

Multivariate Distributions

distribution.multivariate_normal(): distribution.multivariate_normal
distribution.multivariate_t(): distribution.multivariate_t
distribution.copula(): distribution.copula
distribution.copula_gaussian(): distribution.copula_gaussian
distribution.copula_t(): distribution.copula_t

Truncated Distributions

distribution.truncated(): distribution.truncated
distribution.truncated.exponential(): distribution.truncated.exponential
distribution.truncated.normal(): distribution.truncated.normal

Class Definitions

distribution.abstract.class: Class: distribution.abstract.class
distribution.continuous.class: Class: distribution.continuous.class
distribution.continuous.beta.class: Class: distribution.continuous.beta.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.beta_binomial.class: Class: distribution.discrete.beta_binomial.class
distribution.discrete.binomial.class: Class: distribution.discrete.binomial.class
distribution.discrete.class: Class: distribution.discrete.class
distribution.discrete.finite_set.class: Class: distribution.discrete.finite_set.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
distribution.multivariate.class: Class: distribution.multivariate.class
distribution.multivariate.copula.class: Class: distribution.multivariate.copual.class
distribution.multivariate.normal.class: Class: distribution.multivariate.normal.class
distribution.multivariate.t.class: Class: distribution.multivariate.t.class
distribution.truncated.class: Class: distribution.truncated.class
distribution.truncated.exponential.class: Class: distribution.truncated.exponential.class
distribution.truncated.normal.class: Class: distribution.truncated.normal.class