optim.accept.adjp

the parameter we need to solve for the adjusted p-values.

alpha

numeric vector of p-values (possibly with <code><a rd-options="base" href="/link/NA?package=FixSeqMTP&version=0.1.2&to=base" data-mini-rdoc="base::NA">NA</a></code>s). Any other R is coerced by <code><a rd-options="base" href="/link/as.numeric?package=FixSeqMTP&version=0.1.2&to=base" data-mini-rdoc="base::as.numeric">as.numeric</a></code>. Same as in <code><a rd-options="stats" href="/link/p.adjust?package=FixSeqMTP&version=0.1.2&to=stats" data-mini-rdoc="stats::p.adjust">p.adjust</a></code>.

pre-specified constant satisfying $0 \le \beta <1$, only="" for="" <code="">method="accept".</1$,>

beta


Objective function to be optimized for the adjusted p-values for FWER controlling g-FSMTP based on the numbers of acceptances only. (See Procedure A2 in Qiu et al. (2015))


Several generalized / directional Fixed Sequence Multiple Testing
Procedures (FSMTPs) are developed for testing a sequence of pre-ordered
hypotheses while controlling the FWER, FDR and Directional Error (mdFWER).
All three FWER controlling generalized FSMTPs are designed under arbitrary
dependence, which allow any number of acceptances. Two FDR controlling
generalized FSMTPs are respectively designed under arbitrary dependence and
independence, which allow more but a given number of acceptances. Two mdFWER
controlling directional FSMTPs are respectively designed under arbitrary
dependence and independence, which can also make directional decisions based
on the signs of the test statistics. The main functions for each proposed
generalized / directional FSMTPs are designed to calculate adjusted p-values
and critical values, respectively. For users' convenience, the functions also
provide the output option for printing decision rules.

Yalin Zhu yalinzhuregeneroncom

FixSeqMTP

Fixed Sequence Multiple Testing Procedures

optim.accept.adjp function

numeric vector of p-values (possibly with <code><a rd-options='base' href='NA'>NA</a></code>s). Any other R is coerced by <code><a rd-options='base' href='as.numeric'>as.numeric</a></code>. Same as in <code><a rd-options='stats' href='p.adjust'>p.adjust</a></code>.

pre-specified constant satisfying $0 \le \beta <1$, only for <code>method="accept"</code>.

optim.accept.adjp: Objective function to be optimized (2)

Description

Usage

Arguments

Value

References