Estimate the NNT using the proposed method in Yang and Yin's paper (2019)
  <doi:10.1371/journal.pone.0223301>, in which the NNT-RMST (number needed to 
  treat based on the restricted mean survival time) is defined as the RMST (restricted 
  mean survival time) in the control group divided by the difference in RMSTs 
  between the treatment and control groups up to a chosen time t.

Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md <https://github.com/rikenbit/nnTensor>, for details of the methods.

Draw samples from truncated multivariate normal distribution using the sequential nearest neighbor (SNN) method introduced in "Scalable Sampling of Truncated Multivariate Normals Using Sequential Nearest-Neighbor Approximation" <doi:10.48550/arXiv.2406.17307>.

Functions for revealing what happens when effect size estimates 
    from previous studies are taken into account when evaluating each new dataset 
    in a study sequence. The analyses can be conducted for cumulative
    meta-analyses and for Bayesian data analyses. The package contains sample 
    data for a wide selection of research topics. Jointly considering 
    previous findings along with new data is more likely to result in correct 
    conclusions than does the traditional practice of not incorporating previous
    findings, which often results in a back and forth ping-pong of conclusions 
    when evaluating a sequence of studies.
    O'Connor & Ermacora (2021, <doi:10.1037/cbs0000259>).

Fetch data from the National Oceanic and Atmospheric Administration Climate Data Online (NOAA CDO) <https://www.ncdc.noaa.gov/cdo-web/webservices/v2> API including daily, monthly, and yearly climate summaries, radar data, climatological averages, precipitation data, annual summaries, storm events, and agricultural meteorology.