Data sets in the book entitled "Multivariate Statistical Methods with R Applications", H.Bulut (2018).
The book was published in Turkish and the original name of this book will be "R Uygulamalari ile Cok Degiskenli Istatistiksel Yontemler".

Modified Sequential Probability Ratio Test (MSPRT)
c(person("Sandipan", "Pramanik", email = "sandy@stat.tamu.edu",
role = c("aut", "cre")),
person("Valen E.", "Johnson", role = "aut"),
person("Anirban", "Bhattacharya", role = "aut") )
Sandipan Pramanik [aut, cre],
Valen E. Johnson [aut],
Anirban Bhattacharya [aut]
A modified SPRT (MSPRT) can be designed and implemented with the help of this package. In a
MSPRT design, the maximum sample size of an experiment is fixed prior to the start of an
experiment, the alternative hypothesis used to define the rejection region of the test is
derived from the size of the test (Type I error), the maximum available sample size (N), and
the targeted Type 2 error (equal to 1 minus the power) is also prespecified. Given these values,
the MSPRT is defined in a manner very similar to Wald's initial proposal. This test can reduce
the average sample size required to perform statistical hypothesis tests at the specified levels
of significance and power. This package facilitates the carrying out of one sample Z tests, T Tests
and tests of binomial success probabilities. A user guidance for this software package is provided
here and also in the supplemental information.
nleqslv, ggplot2, foreach, iterators, parallel, doParallel,
datasets, graphics, grDevices, methods, stats, utils

A modified SPRT (MSPRT) can be designed and implemented with the help of this package. In a
MSPRT design, (i) the maximum sample size of an experiment is fixed prior to the start of an
experiment; (ii) the alternative hypothesis used to define the rejection region of the test is derived
from the size of the test (Type I error), the maximum available sample size (N), and (iii) the targeted Type 2
error (equals to 1 minus the power) is also prespecified. Given these values, the MSPRT is defined in a
manner very similar to Wald's initial proposal. This test can reduce the average sample size required to
perform statistical hypothesis tests at the specified level of significance and power. This package
implements one-sample proportion tests, one-sample Z-tests, one-sample T-tests, two-sample
Z-tests and two-sample T-tests. A user guidance for this package is provided here.
One can also refer to the supplemental information for the same.