
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]
 yearinterval is assumed to be Poissondistributed, and Psplines and generalized linear array ... employed as a suitable regression methodology. ExtraPoisson variation can also be accommodated...

gbm
 Referenced in 54 articles
[sw07994]
 absolute loss, tdistribution 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 zeroinflated 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 Xray 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, zeroinflated Poisson, and Bernoulli distributions to longitudinal data. Applications to psychometric...

GPB
 Referenced in 3 articles
[sw18875]
 Distribution Function of the Generalized PoissonBinomial Distribution. The Poissonbinomial distribution is useful ... actuarial science, and data mining. The Poissonbinomial distribution models the distribution ... this paper, we extend the Poissonbinomial distribution to the generalized Poissonbinomial (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, zeroinflated, 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: ConwayMaxwellPoisson Distribution. Provides routines for density and moments of the Conway ... MaxwellPoisson distribution as well as functions for fitting the COMPoisson model for over/underdispersed...

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...