dlnbinom.zt: zero-truncated logit-normal binomial distribution

In schmettow/LNB: (zero- truncated) logit-normal binomial distribution functions

Description

distribution functions (probability, random number generation and cumulative) for the tzero-ztruncated and zero-one trauncated logit-normal binomial distribution

Usage

dlnbinom.zt(x, size, m, s)
dlnbinom.zot(x, size, m, s)

Arguments

x	vector of quantiles
size	number of trials (zero or more)
m	distribution parameter (central tendency)
s	distribution parameter (dispersion)

Details

The logit-normal distribution is created by imposing a logit-normal prior on the binomial parameter p. The zero-truncated LNB is derived by restricting the random variable to a strictly positive range and re-scaling the probability mass accordingly. The zero-one truncated distribution is created respectively.

Value

dlnbinom.zt gives zero-truncated probability, dlnbinom.zt returns the zero-one trauncated probability

Author(s)

Martin Schmettow

References

Schmettow, M. (2009). Controlling the usability evaluation process under varying defect visibility. In BCS HCI 09: Proceedings of the 23rd British HCI Group Annual Conference on People and Computers: Celebrating People and Technology (pp. 188-197). Swinton, UK: British Computer Society.

See Also

dlnbinom dlngeom

Examples

  dlnbinom.zt(3, 10, 0.5, 2)
  dlnbinom.zt(0, 10, 0.5, 2)
  

schmettow/LNB documentation built on May 29, 2019, 3:41 p.m.