Mixed Poisson Models
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘MixedPoisson’ version 2.0
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 |