• PROC NLMIXED

• Referenced in 69 articles [sw11039]
• NLMIXED enables you to specify a conditional distribution for your data (given the random effects ... standard form (normal, binomial, Poisson) or a general distribution that you code using SAS programming...

• MortalitySmooth

• Referenced in 14 articles [sw10483]
• year-interval is assumed to be Poisson-distributed, and P-splines and generalized linear array ... employed as a suitable regression methodology. Extra-Poisson variation can also be accommodated...

• gbm

• Referenced in 54 articles [sw07994]
• absolute loss, t-distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial...

• spatcounts

• Referenced in 6 articles [sw13743]
• data. We examine not only the Poisson distribution but also the generalized Poisson capable ... well as the zero-inflated Poisson distribution which allows for excess zeros as possible response...

• ePCA

• Referenced in 8 articles [sw27830]
• imaging, where we observe images with Poisson distributed pixels. We focus on X-ray Free...

• glmmAK

• Referenced in 26 articles [sw13218]
• logistic and Poisson regression model with random effects whose distribution is specified as a penalized...

• Proc Traj

• Referenced in 13 articles [sw11097]
• censored normal, Poisson, zero-inflated Poisson, and Bernoulli distributions to longitudinal data. Applications to psychometric...

• GPB

• Referenced in 3 articles [sw18875]
• Distribution Function of the Generalized Poisson-Binomial Distribution. The Poisson-binomial distribution is useful ... actuarial science, and data mining. The Poisson-binomial distribution models the distribution ... this paper, we extend the Poisson-binomial distribution to the generalized Poisson-binomial (GPB) distribution...

• Algorithm 955

• Referenced in 5 articles [sw17442]
• Algorithm 955: approximation of the inverse Poisson cumulative distribution function. New approximations for the inverse ... develop efficient evaluations of the inverse Poisson cumulative distribution function. An asymptotic approximation based...

• MVPoisson

• Referenced in 4 articles [sw18574]
• approach to a problem involving multivariate Poisson distributions. Multivariate Poisson random variables subject to linear...

• 5tbl

• Referenced in 5 articles [sw26231]
• three of the most important discrete distributions: Poisson, binomial and hypergeometric...

• GEEQBOX

• Referenced in 5 articles [sw08101]
• that follows a normal, Bernoulli or Poisson distribution, and that is assumed to have...

• glarma

• Referenced in 5 articles [sw23274]
• past predictive residuals. Currently three distributions (Poisson, negative binomial and binomial) can be used...

• tscount

• Referenced in 10 articles [sw23277]
• function are allowed. The conditional distribution can be Poisson or Negative Binomial...

• brms

• Referenced in 32 articles [sw19099]
• full Bayesian inference. A wide range of distributions and link functions are supported, allowing users ... among others – linear, robust linear, binomial, Poisson, survival, response times, ordinal, zero-inflated, hurdle ... addition, all parameters of the response distribution can be predicted in order to perform distributional...

• NSIKE

• Referenced in 8 articles [sw11777]
• positive streamwise invariant) residual distribution scheme. The Poisson problem for pressure is solved using conjugate...

• Compoisson

• Referenced in 2 articles [sw08137]
• package compoisson: Conway-Maxwell-Poisson Distribution. Provides routines for density and moments of the Conway ... Maxwell-Poisson distribution as well as functions for fitting the COM-Poisson model for over/under-dispersed...

• PREG

• Referenced in 3 articles [sw26380]
• count that follows the Poisson distribution. This documentation contains a detailed description of the algorithm ... maximum likelihood estimation under the Poisson regression model (subroutine PRMLE), three test problems with complete...

• AS 171

• Referenced in 3 articles [sw14106]
• exact variance test for the Poisson distribution. (Algorithm...

• PoisNonNor

• Referenced in 3 articles [sw25212]
• Continuous Data. Generation of count (assuming Poisson distribution) and continuous data (using Fleishman polynomials) simultaneously...