https://alexandrebsimas.r-universe.devRecent package updates in alexandrebsimasR-universehttps://github.com/alexandrebsimas.pnghttps://alexandrebsimas.r-universe.devFri, 12 Mar 2021 21:56:52 GMTalexandre.impa@gmail.com (Alexandre B. Simas)Fits mixed Poisson regression models (Poisson-Inverse Gaussian or Negative-Binomial) on data sets with response variables being count data. The models can have varying precision parameter, where a linear regression structure (through a link function) is assumed to hold on the precision parameter. The Expectation-Maximization algorithm for both these models (Poisson Inverse Gaussian and Negative Binomial) is an important contribution of this package. Another important feature of this package is the set of functions to perform global and local influence analysis. See Barreto-Souza and Simas (2016) <doi:10.1007/s11222-015-9601-6> for further details.https://github.com/r-universe/alexandrebsimas/actions/runs/37756487896Fri, 12 Mar 2021 21:56:52 GMTmixpoissonreg1.0.0successhttps://alexandrebsimas.r-universe.devhttps://github.com/alexandrebsimas/mixpoissonregtutorial-mixpoissonreg.Rmdtutorial-mixpoissonreg.htmlAnalyzing overdispersed count data with the mixpoissonreg package2020-12-22 04:55:252021-03-12 21:56:52plots-mixpoissonreg.Rmdplots-mixpoissonreg.htmlBuilding and customizing base-R diagnostic plots with the mixpoissonreg package2020-12-22 04:55:252021-03-05 08:13:20ggplot2-plots-mixpoissonreg.Rmdggplot2-plots-mixpoissonreg.htmlBuilding and customizing ggplot2-based diagnostic plots with the mixpoissonreg package2021-02-27 18:27:352021-03-05 08:13:20intervals-mixpoissonreg.Rmdintervals-mixpoissonreg.htmlConfidence and prediction intervals with the mixpoissonreg package2020-12-22 04:55:252021-03-05 08:13:20influence-mixpoissonreg.Rmdinfluence-mixpoissonreg.htmlGlobal and local influence analysis with the mixpoissonreg package2020-12-22 04:55:252021-03-05 10:27:15mixpoissonreg.Rmdmixpoissonreg.htmlIntroduction to mixpoissonreg2020-12-23 01:33:482021-03-05 08:00:23ml-mixpoissonreg.Rmdml-mixpoissonreg.htmlMaximum-likelihood estimation with the mixpoissonreg package2020-12-22 04:55:252021-03-05 08:13:20tidyverse-mixpoissonreg.Rmdtidyverse-mixpoissonreg.htmlmixpoissonreg in the tidyverse2020-12-22 04:55:252021-03-05 10:27:15