Package: cantrends 0.1.0.9000

cantrends: Fit Segmented Regression Models

Estimates piecewise linear spline models for assessing temporal trends in cancer incidence and mortality rates. Provides tools for identifying and reporting knot locations, annual percent changes (APCs), and average annual percent changes (AAPCs), facilitating the analysis and communication of changes in cancer rates over time.

Authors:Matthew T. Warkentin [aut, cre, cph], John Hutchinson [ctb], Yibing Ruan [ctb]

cantrends_0.1.0.9000.tar.gz
cantrends_0.1.0.9000.zip(r-4.7-any)cantrends_0.1.0.9000.zip(r-4.6-any)cantrends_0.1.0.9000.zip(r-4.5-any)
cantrends_0.1.0.9000.tgz(r-4.6-any)cantrends_0.1.0.9000.tgz(r-4.5-any)
cantrends_0.1.0.9000.tar.gz(r-4.7-any)cantrends_0.1.0.9000.tar.gz(r-4.6-any)
cantrends_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cantrends/json (API)

# Install 'cantrends' in R:

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

Bug tracker:https://github.com/mattwarkentin/cantrends/issues

On CRAN:

3.65 score 385 downloads 11 exports 29 dependencies

Last updated from:6c71176d7c. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	120
source / vignettes	OK	201
linux-release	OK	123
macos-release	OK	65
macos-oldrel	OK	102
windows-devel	OK	66
windows-release	OK	56
windows-oldrel	OK	63
wasm-release	OK	99

Exports:extract_best_aapc extract_best_apc extract_best_fit extract_best_metrics extract_best_model extract_best_predictions extract_fits knot_opts make_knot_sets make_point_set segmented_reg

Dependencies:backports broom carrier cli cpp11 crayon dplyr generics glue lifecycle lobstr lspline magrittr mirai nanonext pillar pkgconfig prettyunits purrr R6 rlang stringi stringr tibble tidyr tidyselect utf8 vctrs withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Empiricial Quantile Confidence Intervals	empirical_quantile_ci
Extract Information from Segmented Regression Objects	extract_best_aapc extract_best_apc extract_best_fit extract_best_metrics extract_best_model extract_best_predictions extract_fits
Knot Options	knot_opts make_knot_sets make_point_set print.cantrends_knot_opts
Segmented Regression using Linear Splines	print.cantrends_segmented_reg segmented_reg