Exponentially Weighted Moving Average with Adjustments to
Measurement Error
c(person("Cheng-Kuan Lin", "Developer", role = c("aut", "cre","cph"),
email = "zore2023852@gmail.com"),
person("Li-Pang Chen", "Su-Fen Yang", role = "aut") )
The univariate statistical quality control tool aims to address measurement error effects when constructing exponentially weighted moving average p control charts. The method primarily focuses on binary random variables, but it can be applied to any continuous random variables by using sign statistic to transform them to discrete ones. With the correction of measurement error effects, we can obtain the corrected control limits of exponentially weighted moving average p control chart and reasonably adjusted exponentially weighted moving average p control charts. The methods in this package can be found in some relevant references, such as Chen and Yang (2022) <arXiv: 2203.03384>; Yang et al. (2011) <doi: 10.1016/j.eswa.2010.11.044>; Yang and Arnold (2014) <doi: 10.1155/2014/238719>; Yang (2016) <doi: 10.1080/03610918.2013.763980> and Yang and Arnold (2016) <doi: 10.1080/00949655.2015.1125901>.
Cheng-Kuan Lin Developer [aut, cre, cph],
Li-Pang Chen Su-Fen Yang [aut]

Simulation Based Inference of Lasso Estimator
c(person("Seunghyun", "Min", email = "seunghyun@ucla.edu", role = c("aut", "cre")), person("Qing", "Zhou", email = "zhou@stat.ucla.edu", role = "aut"))
Estimator augmentation methods for statistical inference on high-dimensional data,
as described in Zhou, Q. (2014) <doi:10.1080/01621459.2014.946035>
and Zhou, Q. and Min, S. (2017) <doi:10.1214/17-EJS1309>.
It provides several simulation-based inference methods: (a) Gaussian and
wild multiplier bootstrap for lasso, group lasso, scaled lasso, scaled group
lasso and their de-biased estimators, (b) importance sampler for approximating
p-values in these methods, (c) Markov chain Monte Carlo lasso sampler with
applications in post-selection inference.
stats, graphics, msm, mvtnorm, parallel, limSolve, MASS, hdi,
Rcpp
Seunghyun Min [aut, cre],
Qing Zhou [aut]