Identifies genome-related molecular traits with significant 
  evidence of genetic regulation and performs a bootstrap procedure to 
  correct estimated effect sizes for over-estimation present in cis-QTL
  mapping studies (The "Winner's Curse"), described in Huang QQ *et al.* 
  2018 <doi: 10.1093/nar/gky780>.

Bootstrap resampling methods have been widely studied in the context of survey data. This package implements various bootstrap resampling techniques tailored for survey data, with a focus on stratified simple random sampling and stratified two-stage cluster sampling. It provides tools for precise and consistent bootstrap variance estimation for population totals, means, and quartiles. Additionally, it enables easy generation of bootstrap samples for in-depth analysis.

Implements fast, exact bootstrap Principal Component Analysis and
    Singular Value Decompositions for high dimensional data, as described in
    <doi:10.1080/01621459.2015.1062383> (see also <doi:10.48550/arXiv.1405.0922>). For data matrices that are too large to operate
    on in memory, users can input objects with class 'ff' (see the 'ff'
    package), where the actual data is stored on disk. In response, this
    package will implement a block matrix algebra procedure for calculating the
    principal components (PCs) and bootstrap PCs. Depending on options set by
    the user, the 'parallel' package can be used to parallelize the calculation of
    the bootstrap PCs.

Set of functions to perform various bootstrap unit root tests for both individual time series
  (including augmented Dickey-Fuller test and union tests), multiple time series and panel data; see
  Smeekes and Wilms (2023) <doi:10.18637/jss.v106.i12>,
  Palm, Smeekes and Urbain (2008) <doi:10.1111/j.1467-9892.2007.00565.x>,
  Palm, Smeekes and Urbain (2011) <doi:10.1016/j.jeconom.2010.11.010>, 
  Moon and Perron (2012) <doi:10.1016/j.jeconom.2012.01.008>, 
  Smeekes and Taylor (2012) <doi:10.1017/S0266466611000387> and 
  Smeekes (2015) <doi:10.1111/jtsa.12110> for key references.