
glmnet
 Referenced in 505 articles
[sw08159]
 linear regression, logistic and multinomial regression models, poisson regression and the Cox model. Two recent...

edgeR
 Referenced in 49 articles
[sw06936]
 replicated count data. An overdispersed Poisson model is used to account for both biological...

IETI
 Referenced in 66 articles
[sw19412]
 framework for two classes of simple model problems (Poisson and linearized elasticity) and discuss...

glmmAK
 Referenced in 25 articles
[sw13218]
 multinomial response (cumulative logit model), and in the Poisson regression (loglinear model). Secondly, Bayesian ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified...

metafor
 Referenced in 31 articles
[sw12291]
 mixedeffects (conditional) logistic and Poisson regression models). Finally, the package provides functionality for fitting...

PDB2PQR
 Referenced in 33 articles
[sw13087]
 Boltzmann electrostatics calculations. Continuum solvation models, such as Poisson–Boltzmann and Generalized Born methods, have...

bivpois
 Referenced in 17 articles
[sw20812]
 Bivariate Poisson and diagonal inflated bivariate Poisson regression models in R. In this paper ... bivariate and diagonal inflated bivariate Poisson regression models. An ExpectationMaximization (EM) algorithm is implemented...

APBS
 Referenced in 88 articles
[sw05766]
 PoissonBoltzmann equation (PBE), one of the most popular continuum models for describing electrostatic interactions...

PoiClaClu
 Referenced in 9 articles
[sw11351]
 sequencing data based on a Poisson model. Implements the methods described in the paper, Witten ... Clustering of Sequencing Data using a Poisson Model, Annals of Applied Statistics...

MIBPB
 Referenced in 51 articles
[sw08106]
 electrostatic analysis. The Poisson–Boltzmann equation (PBE) is an established model for the electrostatic analysis...

PROC NLMIXED
 Referenced in 65 articles
[sw11039]
 fixed and random effects enter nonlinearly. These models have a wide variety of applications ... having either a standard form (normal, binomial, Poisson) or a general distribution that you code ... programming statements. PROC NLMIXED fits nonlinear mixed models by maximizing an approximation to the likelihood...

ProDenICA
 Referenced in 7 articles
[sw11357]
 flexible method for estimating an ICA model. This approach estimates the densities for each component ... functions are estimated via a GAM poisson model. Details can be found in ”Elements...

Nike2D
 Referenced in 61 articles
[sw12115]
 thermoelasticplastic, and linear viscoelastic material models are implemented. Nearly incompressible behavior that arises ... plasticity problems and elasticity problems with Poisson’s ratio approaching 0.5 is accounted...

hmmm
 Referenced in 12 articles
[sw07947]
 Bartolucci et al. (2007); multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models...

Rchoice
 Referenced in 5 articles
[sw23114]
 package Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters. An implementation ... Logit), Ordered (Probit and Logit) and Poisson models with random parameters for crosssectional...

acp
 Referenced in 5 articles
[sw23280]
 autoregressive properties, using the Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen...

SIP
 Referenced in 4 articles
[sw13382]
 linear models, binomial and logistic models, Poisson and multinomial models and other generalized regression models...

BPSC
 Referenced in 2 articles
[sw39111]
 BetaPoisson model for singlecell RNAseq data analyses. Results: We introduce a beta ... Poisson mixture model that can capture the bimodality of the singlecell gene expression distribution ... well characterized by the betaPoisson model; the modelfit from BPSC is better than ... standard gammaPoisson model in > 80% of the transcripts. Moreover, in differential expression analyses...

spatcounts
 Referenced in 6 articles
[sw13743]
 spatial regression models for count data. We examine not only the Poisson ... distribution but also the generalized Poisson capable of modeling overdispersion, the negative Binomial ... well as the zeroinflated Poisson distribution which allows for excess zeros as possible response ... distribution. We add random spatial effects for modeling spatial dependency and develop and implement MCMC...

gbm
 Referenced in 50 articles
[sw07994]
 Generalized Boosted Regression Models. This package implements extensions to Freund and Schapire’s AdaBoost algorithm ... distribution loss, quantile regression, logistic, multinomial logistic, Poisson, Cox proportional hazards partial likelihood, AdaBoost exponential...