The package is now published on R-universe at https://eribul.r-universe.dev, which serves pre-built binaries for Windows, macOS and Linux so installation no longer requires a local toolchain (for example Rtools on Windows).
Added a new pair of vignettes, “Computer exercise 1: Describing and comparing survival data” and its solutions, restricted to Chapters 1–2 of Collett (2023). The exercise covers censoring, the survivor/hazard/cumulative hazard functions, the empirical, Kaplan–Meier and Nelson–Aalen estimators, Greenwood intervals, hazard estimation, and the log-rank, Wilcoxon, Peto–Peto, stratified and trend tests. The life table is not covered. The exercise uses only data sets included in the package and does not cover Cox regression. The exercise and solutions are generated from a single source file; the show_solutions parameter controls whether the solution is included immediately after each question.
Removed the teaching functions and their documentation and tests. The package now focuses on the data sets and the computer exercises.
Added dataset_by_exercise, an index that links every data set to the worked examples of Collett (2023) that use it, with the example number, chapter, example title and the data set dimensions.
Every data set that is used in a numbered example now has an alias dX.Y, where X.Y is the example number. The aliases are ordinary data objects, so d3.7 is the myeloma data used in Example 3.7 and d8.4 is the baseline cirrhosis data. A data set used in several examples has one alias per example. The aliases are listed on the help page of the corresponding data set.
Added the vignette “Data sets by exercise”, which presents the index, and an overview of it in the README.
The examples on the help page of every data set now reproduce the analyses that Collett (2023) presents with that data set, with a comment for each example number. Each page has two parts: first the code of Chapter 17 (the survival package, penalized, eha, cmprsk, and so on), then the same analysis with more recent tools (ggsurvfit, flexsurv, coxme, icenReg, tidycmprsk, broom, rms, glmnet). Data sets that are not used in a numbered example show the analyses suggested for the appendix or, for scottish_mbc_cohort, the modern tools only.
sta310r 0.1.0
First release: the data sets from Collett (2023) and the computer exercises used in the STA310 course.
Added the scottish_mbc_cohort data set, the synthetic Scottish metastatic breast cancer cohort that is used in the first computer exercise. It does not come from Collett (2023); its help page gives the source and licence.
Added a “Getting started with sta310r” vignette, a “Computer exercise 1: Survival analysis” vignette and a “Computer exercise 1: solutions” vignette. The exercise and its solutions are separate documents that share the same question numbering.
The vignettes are shipped as pre-built HTML in inst/doc/, so vignette(package = "sta310r") works also when the package is installed without building vignettes (dev/refresh-vignettes.sh updates them).
Added unit tests for the structure of the data sets.