All vignettes can be found as articles on the website https://alexpate30.github.io/calibmsm/index.html.

The Overview
vignette is a guide on how to use the package by running through a
clinical example. This should be used as the starting point for
understanding how to use **calibmsm**. This vignette will
be submitted for publication when it is ready and a reference will be
added here.

The BLR-IPCW-manual-bootstrap vignette showcases how to estimate a confidence interval manually using bootstrapping, and how to manually specify a function for estimating the inverse probability of censoring weights.

The Calibration-curves-estimated-with-loess-smoothers vignette repeats the analyses from the Overview vignette using loess smoothers to estimate the calibration curves instead of restricted cubic splines.

The Evaluation-of-estimation-of-IPCWs
vignette explores whether the assumptions of the BLR-IPCW and
psuedo-value methods are met in the illustrative example in the Overview
vignette. In particular, the validity of the inverse probability of
censoring weights when estimated using the internal procedures in
**calibmsm** is evaluated.

The Comparison-in-competing-risks-setting
vignette uses **calibmsm** to assess the calibration of a
standard competing risk model and compares results with the more
commonly used graphical calibration curves.