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]

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precisely.pdf |precisely.html✨
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:

5.90 score 93 stars 17 scripts 195 downloads 22 exports 61 dependencies

Last updated 3 years agofrom:8e4c2f2db3. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 10 2024
R-4.5-win	OK	Nov 10 2024
R-4.5-linux	OK	Nov 10 2024
R-4.4-win	OK	Nov 10 2024
R-4.4-mac	OK	Nov 10 2024
R-4.3-win	OK	Nov 10 2024
R-4.3-mac	OK	Nov 10 2024

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 colorspace commonmark cpp11 crayon digest dplyr fansi farver fastmap fontawesome fs generics ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig promises purrr R6 rappdirs RColorBrewer Rcpp rlang 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 Nov 10 2024.

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