seq_aipe_contrast: seq_aipe_contrast

In yelleKneK/SMSD: Sequential Methods for Study Design

seq_aipe_contrast

Description

Sequential approach to Accuracy in Parameter Estimation for a Contrast

Usage

seq_aipe_contrast(
  alpha = 0.05,
  omega,
  data = NULL,
  coef = NULL,
  balanced = TRUE,
  Group.1 = NULL,
  Group.2 = NULL,
  pilot = FALSE,
  m0 = 4
)

Arguments

alpha	The significance level., default is 0.05
omega	omega,
data	The dataset, default is NULL
coef	The coefficients, default is NULL
balanced	Is the data balanced, default is TRUE
Group.1	The first group
Group.2	The second group
pilot	Is pilot of interest? Default is FALSE
m0	The initial sample size.

Value

The current sample size, the current contrast, and an indicator of if the criterion is satisfied.

Author(s)

Ken Kelley [e-mail], Francis Bilson Darku [e-mail], Bhargab Chattopadhyay [e-mail]

Examples

pilot_ss <- seq_aipe_contrast(alpha=0.05, omega=0.2, pilot=TRUE)
SLS <- matrix(c(rexp(pilot_ss, rate=0.05),
rexp(pilot_ss, rate=0.05)), ncol = 2)
seq_aipe_contrast(alpha=0.05, omega=0.2,data = SLS)

yelleKneK/SMSD documentation built on Nov. 23, 2022, 6:40 p.m.