Package: precisely 0.1.2.9000

precisely: Estimate Sample Size Based on Precision Rather than Power

Estimate sample size based on precision rather than power. 'precisely' is a study planning tool to calculate sample size based on precision. Power calculations are focused on whether or not an estimate will be statistically significant; calculations of precision are based on the same principles as power calculation but turn the focus to the width of the confidence interval. 'precisely' is based on the work of 'Rothman and Greenland' (2018).

Authors:Malcolm Barrett [aut, cre]

precisely_0.1.2.9000.tar.gz
precisely_0.1.2.9000.zip(r-4.7)precisely_0.1.2.9000.zip(r-4.6)precisely_0.1.2.9000.zip(r-4.5)
precisely_0.1.2.9000.tgz(r-4.6-any)precisely_0.1.2.9000.tgz(r-4.5-any)
precisely_0.1.2.9000.tar.gz(r-4.7-any)precisely_0.1.2.9000.tar.gz(r-4.6-any)
precisely_0.1.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
precisely/json (API)
NEWS

# Install 'precisely' in R:

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

Bug tracker:https://github.com/malcolmbarrett/precisely/issues

On CRAN:

5.95 score 93 stars 19 scripts 214 downloads 22 exports 54 dependencies

Last updated from:8e4c2f2db3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	159
source / vignettes	OK	208
linux-release-x86_64	OK	148
macos-release-arm64	OK	150
macos-oldrel-arm64	OK	204
windows-devel	OK	102
windows-release	OK	110
windows-oldrel	OK	94
wasm-release	OK	118

Exports:%>%launch_precisely_app map_precisely n_odds_ratio n_rate_difference n_rate_ratio n_risk_difference n_risk_ratio plot_precision plot_sample_size plot_upper_limit precision_odds_ratio precision_rate_difference precision_rate_ratio precision_risk_difference precision_risk_ratio theme_precisely upper_odds_ratio upper_rate_difference upper_rate_ratio upper_risk_difference upper_risk_ratio

Dependencies:base64enc bslib cachem cli commonmark cpp11 digest dplyr farver fastmap fontawesome fs generics ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lifecycle magrittr memoise mime otel pillar pkgconfig promises purrr R6 rappdirs RColorBrewer Rcpp rlang S7 sass scales shiny shinycssloaders shinythemes sourcetools stringi stringr tibble tidyr tidyselect utf8 vctrs viridisLite withr xtable

Introduction to Precisely

Malcolm Barrett

Rendered fromintroduction-to-precisely.Rmdusingknitr::rmarkdownon May 15 2026.

Last update: 2021-01-11
Started: 2018-10-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Launch precisely Shiny app	launch_precisely_app
Calculate with precisely functions across values	map_precisely
Estimate sample size based on precision of a measure	n_odds_ratio n_rate_difference n_rate_ratio n_risk_difference n_risk_ratio
Plot precisely	plot_precision plot_sample_size plot_upper_limit
Estimate precision of a measure based on sample size	precision_odds_ratio precision_rate_difference precision_rate_ratio precision_risk_difference precision_risk_ratio
Minimalist themes for precision plots	theme_precisely
Estimate sample size based on probability that upper limit is below level of concern.	upper_odds_ratio upper_rate_difference upper_rate_ratio upper_risk_difference upper_risk_ratio