• brms

  • Referenced in 32 articles [sw19099]
  • binomial, Poisson, survival, response times, ordinal, zero-inflated, hurdle, and even non-linear models...
  • pscl

  • Referenced in 27 articles [sw07110]
  • density regions; maximum likelihood estimation of zero-inflated and hurdle models for count data; goodness...
  • ZIFA

  • Referenced in 13 articles [sw32141]
  • ZIFA: Dimensionality reduction for zero-inflated single-cell gene expression analysis. Single-cell ... dropout events, which lead to zero-inflated data. Here, we develop a dimensionality-reduction method...
  • Proc Traj

  • Referenced in 14 articles [sw11097]
  • discrete) mixtures of censored normal, Poisson, zero-inflated Poisson, and Bernoulli distributions to longitudinal data...
  • COZIGAM

  • Referenced in 7 articles [sw06869]
  • Fitting (Unconstrained) Zero-Inflated Generalized Additive Models. R package: COZIGAM Fit a Zero-Inflated Generalized...
  • glmmTMB

  • Referenced in 8 articles [sw31739]
  • mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood...
  • zinbwave

  • Referenced in 5 articles [sw36151]
  • Bioconductor/R package zinbwave: Zero-Inflated Negative Binomial Model for RNA-Seq Data. Implements a general ... flexible zero-inflated negative binomial model that can be used to provide a low-dimensional...
  • performance

  • Referenced in 7 articles [sw29807]
  • check models for overdispersion, singularity or zero-inflation and more. Functions apply to a large...
  • mpath

  • Referenced in 4 articles [sw13914]
  • models include penalized Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression...
  • ZIM

  • Referenced in 4 articles [sw23281]
  • package ZIM: Zero-Inflated Models for Count Time Series with Excess Zeros. Fits observation-driven ... parameter-driven models for zero-inflated time series...
  • extraDistr

  • Referenced in 3 articles [sw17069]
  • normal, truncated Poisson, Tukey lambda, Wald, zero-inflated binomial, zero-inflated negative binomial, zero-inflated...
  • COMPoissonReg

  • Referenced in 6 articles [sw23493]
  • model estimation, dispersion testing, and diagnostics. Zero-inflated CMP regression (Sellers & Raim...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • negative Binomial as well as the zero-inflated Poisson distribution which allows for excess zeros...
  • Gooogle

  • Referenced in 3 articles [sw41324]
  • Group regularization for zero-inflated Poisson regression models with an application to insurance ratemaking. Zero ... inflated count models have received considerable amount of attention in recent years, fuelled by their ... problem of selecting grouped variables in zero-inflated Poisson (ZIP) models via group bridge regularization...
  • zic

  • Referenced in 2 articles [sw35800]
  • package zic: Bayesian Inference for Zero-Inflated Count Models. Provides MCMC algorithms for the analysis ... zero-inflated count models. The case of stochastic search variable selection (SVS) is also considered...
  • iZID

  • Referenced in 2 articles [sw32719]
  • package iZID: Identify Zero-Inflated Distributions. Computes bootstrapped Monte Carlo estimate of p value ... test and likelihood ratio test for zero-inflated count data, based on the work...
  • latentcor

  • Referenced in 2 articles [sw39917]
  • data types:continuous, binary, truncated (or zero-inflated) and ternary. The estimation is based ... truncated type or zero-inflated type, see Yoon G., Carroll R.J. and Gaynanova...
  • countimp

  • Referenced in 1 article [sw31551]
  • Negative Binomial model, imputation of zero-inflated ordinary or overdispersed count data based ... zero-inflated Poisson or Negative Binomial model, and imputation of multilevel count data based ... linear mixed effects model (overdispersion and zero-inflation are supported...
  • hurdlr

  • Referenced in 1 article [sw41970]
  • package hurdlr: Zero-Inflated and Hurdle Modelling Using Bayesian Inference. When considering count data ... often the case that many more zero counts than would be expected of some given ... this can be reliably modelled using zero-inflated or hurdle distributions, both of which ... best manage data that is both zero-inflated and over-dispersed...
  • MetamicrobiomeR

  • Referenced in 2 articles [sw26777]
  • microbiome relative abundance data using zero-inflated beta GAMLSS and meta-analysis across studies using...