R: Mixed Poisson Models

# Mixed Poisson Models

## Documentation for package ‘MixedPoisson’ version 2.0

- DESCRIPTION file

## Help Pages

MixedPoisson-package | Mixed Poisson Models
est.delta | Estimation of delta parameter of inverse-Gaussian distribution
est.gamma | Estimation of gamma parameter of Gamma distribution
est.nu | Estimation of nu parameter of log-normal distribution
Gamma.density | Gamma density
invGauss.density | inverse-Gaussian Density
lambda_m_step | Estimation of Lambda in M-step - Expectation-Maximization (EM) algorithm
lambda_start | Estimation of starting lambda in Expectation-Maximization (EM) algorithm
ll.gamma | Gamma Log-likelihood
ll.invGauss | Inverse-Gaussian Log-likelihood
ll.lognorm | Log-normal Log-likelihood
lognorm.density | Log-normal Density
MixedPoisson2 | Mixed Poisson Models
pg.dist | Poisson-Gamma Distribution (Negative-Binomial)
pl.dist | Poisson-Lindley Distribution
pseudo_values | Pseudo values - Expectation-Maximization (EM) algorithm