An implementation of a computationally efficient method to fit large-scale interaction models based on the reluctant interaction selection principle. The method and its properties are described in greater depth in Yu, G., Bien, J., and Tibshirani, R.J. (2019) "Reluctant interaction modeling", which is available at <arXiv:1907.08414>.

Provides functions to perform the Sequential Probability Ratio Test (SPRT) 
  for hypothesis testing in Binomial, Poisson and Normal distributions. 
  The package allows users to specify Type I and Type II error probabilities, 
  decision thresholds, and compare null and alternative hypotheses sequentially 
  as data accumulate. It includes visualization tools for plotting the likelihood 
  ratio path and decision boundaries, making it easier to interpret results. 
  The methods are based on Wald (1945) <doi:10.1214/aoms/1177731118>, 
  who introduced the SPRT as one of the earliest and most powerful sequential 
  analysis techniques. This package is useful in quality control, clinical trials, 
  and other applications requiring early decision-making.The term 'SPRT' is an abbreviation and used intentionally.

It is a toolbox for Sequential Probability Ratio Tests (SPRT),  Wald (1945) <doi:10.2134/agronj1947.00021962003900070011x>.
    SPRTs are applied to the data during the sampling process, ideally after each observation.
    At any stage, the test will return a decision to either continue sampling or terminate and accept one of the specified hypotheses.
    The seq_ttest() function performs one-sample, two-sample, and paired t-tests for testing one- and two-sided hypotheses (Schnuerch & Erdfelder (2019) <doi:10.1037/met0000234>).
    The seq_anova() function allows to perform a sequential one-way fixed effects ANOVA (Steinhilber et al. (2023) <doi:10.31234/osf.io/m64ne>).
    Learn more about the package by using vignettes "browseVignettes(package = "sprtt")" or go to the website <https://meikesteinhilber.github.io/sprtt/>.

Sequential Poisson sampling is a variation of Poisson sampling for
    drawing probability-proportional-to-size samples with a given number of
    units, and is commonly used for price-index surveys. This package gives
    functions to draw stratified sequential Poisson samples according to the
    method by Ohlsson (1998, ISSN:0282-423X), as well as other order sample
    designs by Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate
    approximate bootstrap replicate weights according to the generalized
    bootstrap method by Beaumont and Patak
    (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).