ztplnMLE: MLE for the Zero-truncated Poisson Lognormal distribution

In mattocci27/ztpln: Zero-Truncated Poisson Lognormal Distribution

Description

ztplnMLE fits the Zero-truncated Poisson lognormal distribution to data and estimates parameters mean mu and standard deviation sig in the lognormal distribution

Usage

ztplnMLE(
  n,
  lower_mu = 0,
  upper_mu = log(max(n)),
  lower_sig = 0.001,
  upper_sig = 10,
  type1 = TRUE
)

Arguments

n	a integer vector of counts
lower_mu, upper_mu	numeric values of lower and upper bounds for mean of the variables's natrual logarithm.
lower_sig, upper_sig	numeric values of lower and upper bounds for standard deviatoin of the variables's natrual logarithm
type1	logical; if TRUE, Use type 1 ztpln else use type 2.

Details

The function searches the maximum likelihood estimates of mean mu and standard deviation sig using the optimization procedures in nlminb.

Value

convergence	An integer code. 0 indicates successful convergence.
iterations	Number of iterations performed.
message	A character string giving any additional information returned by the optimizer, or NULL. For details, see PORT documentation.
evaluation	Number of objective function and gradient function evaluations
mu	Maximum likelihood estimates of mu
sig	Maximum likelihood estimates of sig
loglik	loglikelihood

Examples

y <- rztpln(100, 3, 2)
ztplnMLE(y)

mattocci27/ztpln documentation built on Oct. 14, 2021, 12:52 a.m.