Implements methods in Mathur and VanderWeele (in preparation) to characterize global evidence strength across W correlated ordinary least squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a null interval for the total number of rejections in, for example, 95% of samples generated with no associations (the global null), the excess hits (the difference between the observed number of rejections and the upper limit of the null interval), and a test of the global null based on the number of rejections.

Calculating the net reclassification improvement (NRI) for risk prediction models with time to event and binary data.

Provides a set of functions to scrape and analyze rugby data. 
    Supports competitions including the National Rugby League, New South Wales Cup, 
    Queensland Cup, Super League, and various representative and women's competitions. 
    Includes functions to fetch player statistics, match results, ladders, venues, and coaching data. 
    Designed to assist analysts, fans, and researchers in exploring historical and current rugby league data. 
    See Woods et al. (2017) <doi:10.1123/ijspp.2016-0187> for an example of rugby league performance analysis methodology.

Provides functions for probability and non-probability sampling
    design, sample selection, and population estimation tailored to natural
    resource management. Probability methods include simple random sampling,
    stratified sampling, systematic sampling, cluster sampling, and
    probability-proportional-to-size sampling. Non-probability methods
    include convenience, judgement-based, and quota sampling. Estimation
    functions cover means, totals, ratio estimators, regression estimators,
    and the unequal-probability estimator of Horvitz and Thompson (1952,
    <doi:10.2307/2280784>) for unequal-probability designs. Utilities support
    biomass, soil-loss, and carbon-stock estimation from field plots. Spatial
    extensions provide random, systematic, stratified, and raster-weighted
    sampling within geographic polygons using the 'sf' and 'terra' packages,
    with extraction of remote-sensing covariates at sample locations.
    Applications include forest inventory, soil erosion monitoring, watershed
    studies, and ecological field surveys.