This package is considered a duplicate. The official version of this package is found at:https://gibonet.r-universe.dev/distrr

Package: distrr 0.0.6.9000

Sandro Burri

distrr: Estimate and Manage Empirical Distributions

Tools to estimate and manage empirical distributions, which should work with survey data. One of the main features is the possibility to create data cubes of estimated statistics, that include all the combinations of the variables of interest (see for example functions dcc5() and dcc6()).

Authors:Sandro Burri [aut, cre]

distrr_0.0.6.9000.tar.gz
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distrr_0.0.6.9000.tgz(r-4.6-any)distrr_0.0.6.9000.tgz(r-4.5-any)
distrr_0.0.6.9000.tar.gz(r-4.7-any)distrr_0.0.6.9000.tar.gz(r-4.6-any)
distrr_0.0.6.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
distrr/json (API)
NEWS

# Install 'distrr' in R:

install.packages('distrr', repos = c('https://swissstatsr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gibonet/distrr/issues

Pkgdown/docs site:https://gibonet.github.io

Datasets:

invented_wages - Invented dataset with wages of men and women.

On CRAN:

3.62 score 6 stars 14 scripts 165 downloads 16 exports 20 dependencies

Last updated from:a9e9c50e1d. Checks:9 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	121
source / vignettes	OK	174
linux-release-x86_64	OK	124
macos-release-arm64	OK	129
macos-oldrel-arm64	OK	83
windows-devel	OK	79
windows-release	OK	105
windows-oldrel	OK	76
wasm-release	OK	102

Exports:combn_char dcc dcc2 dcc5 dcc6 dcc6_fixed extract_unique extract_unique2 extract_unique3 extract_unique4 extract_unique5 Fhat_conditional_Fhat_df_jointfun_only_joint wq

Dependencies:cli cpp11 dplyr generics glue lifecycle magrittr pillar pkgconfig purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Generate all combinations of the elements of a character vector	combn_char
Data cube creation (dcc)	dcc dcc2 dcc5
Data cube creation	dcc6 dcc6_fixed
Functions to be used in conjunction with 'dcc' family	extract_unique extract_unique2 extract_unique3 extract_unique4 extract_unique5
Weighted empirical cumulative distribution function (ecdf), conditional on one or more variables	Fhat_conditional_
Weighted empirical cumulative distribution function (data frame version)	Fhat_df_
Invented dataset with wages of men and women.	invented_wages
A minimal function which counts the number of observations by groups in a data frame	jointfun_
Keeps only joint distribution (removes '.total').	only_joint
Empirical weighted quantile	wq