ci.poisson: Confidence interval for a Poisson rate

In statpsych: Statistical Methods for Psychologists

Confidence interval for a Poisson rate

Description

Computes a confidence interval for a population Poisson rate. This function requires the number of occurences (f) of a specific event that were observed over a specific period of time (t).

Usage

ci.poisson(alpha, f, t)

Arguments

alpha	alpha value for 1-alpha confidence
f	number of event occurences
t	time period

Details

The time period (t) does not need to be an integer and can be expressed in any unit of time such as seconds, hours, or months. The occurances are assumed to be independent of one another and the unknown occurance rate is assumed to be constant over time.

Value

Returns a 1-row matrix. The columns are:

• Estimate - estimated Poisson rate

• SE - recovered standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

References

\insertRef

Hahn1991statpsych

Examples

ci.poisson(.05, 23, 5.25)

# Should return:
# Estimate        SE       LL      UL
# 4.380952 0.9684952 2.777148 6.57358
 

statpsych documentation built on Sept. 11, 2024, 7:42 p.m.