seq_fwd_nexp_mean: seq_fwd_nexp_mean
In yelleKneK/SMSD: Sequential Methods for Study Design

seq_fwd_nexp_mean

R Documentation

seq_fwd_nexp_mean

Description

Purely Sequential approach to Get Fixed Width Confidence Interval for the mean of negative exponential random variables.

Usage

seq_fwd_nexp_mean(
  data,
  d,
  alpha,
  gamma,
  pilot = FALSE,
  verbose = FALSE,
  na.rm = TRUE
)

Arguments

`data`	The data for which to calculate the confidence interval. A numeric vector.
`d`	Half of the confidence interval width, must be a non-zero positive value.
`alpha`	The significance level. A value between 0 and 1.
`gamma`	gamma
`pilot`	Should a pilot sample be generated. TRUE/FALSE value. default value is `FALSE`.
`verbose`	Should the criterion be printed. Default is `FALSE`.
`na.rm`	This parameter controls whether NA values are removed from the data prior to calculation. Default is `TRUE`.

Value

The calculated confidence interval, the sample size, data mean, and an indicator of if the criterion was satisfied.

Author(s)

Bhargab Chattopadhyay Bhargab@iiitvadodara.ac.in, Neetu Shah 201451015@iiitvadodara.ac.in, Ken Kelley kkelley@nd.edu

References

Mukhopadhyay, N., \& de Silva, Basil M. (2009). Sequential Methods and Their Applications. New York: CRC Press.

Examples

pilot_ss <- seq_fwd_nexp_mean(alpha=0.05, d=0.2, gamma=1, pilot=TRUE)
SLS <- rexp(pilot_ss, rate=1)
seq_fwd_nexp_mean(data=SLS, d=0.2, alpha=0.05, pilot=FALSE)

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