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distributional  

Vectorised Probability Distributions
View on CRAN: Click here


Download and install distributional package within the R console
Install from CRAN:
install.packages("distributional")

Install from Github:
library("remotes")
install_github("cran/distributional")

Install by package version:
library("remotes")
install_version("distributional", "0.4.0")



Attach the package and use:
library("distributional")
Maintained by
Mitchell O'Hara-Wild
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-09
Latest Update: 2024-02-07
Description:
Vectorised distribution objects with tools for manipulating, visualising, and using probability distributions. Designed to allow model prediction outputs to return distributions rather than their parameters, allowing users to directly interact with predictive distributions in a data-oriented workflow. In addition to providing generic replacements for p/d/q/r functions, other useful statistics can be computed including means, variances, intervals, and highest density regions.
How to cite:
Mitchell O'Hara-Wild (2020). distributional: Vectorised Probability Distributions. R package version 0.4.0, https://cran.r-project.org/web/packages/distributional
Previous versions and publish date:
0.1.0 (2020-06-09 14:40), 0.2.0 (2020-08-03 10:10), 0.2.1 (2020-10-06 14:50), 0.2.2 (2021-02-02 14:10), 0.3.0 (2022-01-06 00:50), 0.3.1 (2022-09-02 09:10), 0.3.2 (2023-03-22 15:40)
Other packages that cited distributional R package
View distributional citation profile
Other R packages that distributional depends, imports, suggests or enhances
Functions, R codes and Examples using the distributional R package
Some associated functions: autoplot.distribution . cdf . covariance.distribution . covariance . density.distribution . dist_bernoulli . dist_beta . dist_binomial . dist_burr . dist_categorical . dist_cauchy . dist_chisq . dist_degenerate . dist_exponential . dist_f . dist_gamma . dist_geometric . dist_gumbel . dist_hypergeometric . dist_inflated . dist_inverse_exponential . dist_inverse_gamma . dist_inverse_gaussian . dist_logarithmic . dist_logistic . dist_lognormal . dist_missing . dist_mixture . dist_multinomial . dist_multivariate_normal . dist_negative_binomial . dist_normal . dist_pareto . dist_percentile . dist_poisson . dist_poisson_inverse_gaussian . dist_sample . dist_student_t . dist_studentized_range . dist_transformed . dist_truncated . dist_uniform . dist_weibull . dist_wrap . distributional-package . family.distribution . generate.distribution . geom_hilo_linerange . geom_hilo_ribbon . guide-helpers . guide_level . hdr.distribution . hdr . hilo.distribution . hilo . is-distribution . is_hdr . is_hilo . kurtosis . likelihood . mean.distribution . median.distribution . new_dist . new_hdr . new_hilo . new_support_region . parameters . quantile.distribution . reexports . scale_hilo_continuous . scale_level . skewness . support . variance.distribution . variance . 
Some associated R codes: default.R . dist_bernoulli.R . dist_beta.R . dist_binomial.R . dist_burr.R . dist_categorical.R . dist_cauchy.R . dist_chisq.R . dist_degenerate.R . dist_exponential.R . dist_f.R . dist_gamma.R . dist_geometric.R . dist_gumbel.R . dist_hypergeometric.R . dist_inverse_exponential.R . dist_inverse_gamma.R . dist_inverse_gaussian.R . dist_logarithmic.R . dist_logistic.R . dist_lognormal.R . dist_missing.R . dist_multinomial.R . dist_multivariate_normal.R . dist_negative_binomial.R . dist_normal.R . dist_pareto.R . dist_percentile.R . dist_poisson.R . dist_poisson_inverse_gaussian.R . dist_sample.R . dist_student_t.R . dist_studentized_range.R . dist_uniform.R . dist_weibull.R . dist_wrap.R . distribution.R . distributional-package.R . geom_hilo.R . hdr.R . hilo.R . inflated.R . mixture.R . plot.R . reexports.R . scale-level.R . support.R . transformed.R . truncated.R . utils.R . zzz.R .  Full distributional package functions and examples
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