getncp

Degrees of freedom of chi-square test

Type I error rate of chi-square test. The default alpha=0.05

alpha

Type II error rate of chi-square test. The default beta=0.20

beta

Critical value of distance of the searching
procedure. The search of non-centralized parameter value
stops at the absolute distance between the actual power and
the target power less than the value of d. The default value
of d=0.0001

Initial value of searching the non-centralized parameter.

start

Return the value of non-centralized parameter
for the chi-square distribution given type I,
II error and degrees of freedom.

Primary data analysis for sequential multiple assignment randomization trial (SMART) and calibration tools for clinical trial planning purposes. \n
The methods used for this package include: \n
(1) Likelihood-based global test (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M., Cheung Y.K. (2019) <doi: 10.1016/j.cct.2019.105830>. \n
(2) IPWE-based global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J., Wahed A.S. (2016) <doi:10.1002/sim.6747>. \n
(3) G estimates (pairwise comparison, power calculation) by Lavori R., Dawson P.W. (2012) <doi: 10.1093/biostatistics/kxr016>. \n
(4) IPW estimates (pairwise comparison, power calculation) by Murphy S.A. (2005) <doi: 10.1002/sim.2022>. \n
(5) SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi: 10.1111/biom.12258>.

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getncp: get non-centralized parameter

Description

Usage

Arguments

Value