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 |