ztpln (version 0.1.3)

ztplnMLE: MLE for the 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
)

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

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.

Examples

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