implement.MSPRT_oneT

<p><code><a rd-options="" href="/link/implement.MSPRT?package=MSPRT&version=3.0" data-mini-rdoc="MSPRT::implement.MSPRT">implement.MSPRT</a></code> calls this function for implementing the MSPRT in one-sample t tests. Users please refer to <code><a rd-options="" href="/link/implement.MSPRT?package=MSPRT&version=3.0" data-mini-rdoc="MSPRT::implement.MSPRT">implement.MSPRT</a></code>.</p>

Given the maximum available sample size (N) for an experiment, and the target levels of Type I
and II error probabilities, this package designs a modified SPRT (MSPRT). For any designed MSPRT
the package can also obtain its operating characteristics and implement the test for a given
sequentially observed data. The MSPRT is defined in a manner very similar to Wald's initial proposal.
The proposed test has shown evidence of reducing the average sample size required to perform
statistical hypothesis tests at specified levels of significance and power. Currently, the package
implements one-sample proportion tests, one and two-sample z tests, and one and two-sample
t tests. A brief user guidance for this package is provided below. One can also refer to the
supplemental information for the same.

Sandipan Pramanik

MSPRT

A Modified Sequential Probability Ratio Test (MSPRT)

Valen E. Johnson

Anirban Bhattacharya

implement.MSPRT_oneT function

<p><code><a rd-options='' href='implement.MSPRT'>implement.MSPRT</a></code> calls this function for implementing the MSPRT in one-sample t tests. Users please refer to <code><a rd-options='' href='implement.MSPRT'>implement.MSPRT</a></code>.</p>

implement.MSPRT_oneT: Internal MSPRT function: Implementing the MSPRT in one-sample t tests

Description

Arguments