• 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 (log-linear model). Secondly, Bayesian ... MCMC in the logistic and Poisson regression model with random effects whose distribution is specified...
  • metafor

  • Referenced in 31 articles [sw12291]
  • mixed-effects (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 Expectation-Maximization (EM) algorithm is implemented...
  • APBS

  • Referenced in 88 articles [sw05766]
  • Poisson-Boltzmann 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]
  • thermo-elastic-plastic, 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 cross-sectional...
  • 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]
  • Beta-Poisson model for single-cell RNA-seq data analyses. Results: We introduce a beta ... Poisson mixture model that can capture the bimodality of the single-cell gene expression distribution ... well characterized by the beta-Poisson model; the model-fit from BPSC is better than ... standard gamma-Poisson 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 over-dispersion, the negative Binomial ... well as the zero-inflated 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...