• gss

  • Referenced in 293 articles [sw06099]
  • Smoothing spline ANOVA models Nonparametric function estimation with stochastic data, otherwise known as smoothing ... ones practical in multivariate settings number far less. Smoothing spline ANOVA models are a versatile ... that are suitable for both univariate and multivariate problems. In this book, the author presents ... likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive discussions...
  • Fahrmeir

  • Referenced in 253 articles [sw11047]
  • Fahrmeir: Data from the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, first edition ... Data and functions for the book ”Multivariate Statistical Modelling Based on Generalized Linear Models”, version...
  • robustbase

  • Referenced in 491 articles [sw07114]
  • This includes regression methodology including model selections and multivariate statistics where we strive to cover...
  • copula

  • Referenced in 148 articles [sw07944]
  • have become a popular tool in multivariate modeling successfully applied in many fields. A good ... designed and easily extensible platform for multivariate modeling with copulas in R. S4 classes...
  • spBayes

  • Referenced in 389 articles [sw10160]
  • Package for Univariate and Multivariate Hierarchical Point-referenced Spatial Models. Scientists and investigators in such ... Gaussian spatial process models for univariate as well as multivariate point-referenced data. We discuss...
  • QRM

  • Referenced in 764 articles [sw11358]
  • subjects like multivariate analysis, time series analysis and generalized linear modelling...
  • nlmdl

  • Referenced in 119 articles [sw27811]
  • least squares estimates for a multivariate nonlinear regression model. Use the SUR option for both...
  • SsfPack

  • Referenced in 68 articles [sw09502]
  • Statistical algorithms for models in state space using SsfPack 2. 2. The authors discuss ... statistical analysis of univariate and multivariate models in state space form. The emphasis...
  • Latent GOLD

  • Referenced in 94 articles [sw11673]
  • related field of finite mixture (FM) models for multivariate normal distributions began to emerge, through ... Wolfe (1965, 1967, 1970) and others. FM models seek to separate...
  • MIM

  • Referenced in 133 articles [sw26139]
  • Graphical Modelling. Graphic modelling is a form of multivariate analysis that uses graphs to represent...
  • SAS/STAT

  • Referenced in 438 articles [sw18788]
  • analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis ... nonparametric analysis. A few examples include mixed models, generalized linear models, correspondence analysis, and structural...
  • copula

  • Referenced in 172 articles [sw14499]
  • package copula: Multivariate Dependence with Copulas. Classes (S4) of commonly used elliptical, Archimedean, extreme value ... Fitting copula models including variance estimates. Independence and serial (univariate and multivariate) independence tests...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • allowed. Dependence is conveniently modelled in terms of multivariate normal errors. Inference is performed through ... validating the adequacy of the assumed multivariate model. Methodology is implemented in a R package...
  • StFinMetrics

  • Referenced in 38 articles [sw29976]
  • Insightful Corporation for the statistical analysis and modelling of financial time series. But the book ... cointegration; analysis of vector autoregressive and multivariate GARCH models; modelling of long memory time series...
  • ARfit

  • Referenced in 38 articles [sw00046]
  • collection of Matlab modules for modeling and analyzing multivariate time series with autoregressive (AR) models...
  • dlm

  • Referenced in 30 articles [sw04503]
  • both for univariate and multivariate data. The main methods and models are illustrated with examples ... investigated, both univariate and multivariate. Chapter 4 covers models with unknown parameters. It presents...
  • IVEware

  • Referenced in 19 articles [sw07448]
  • IVEware. The IVEware implements a multivariate model involving a multiple regression sequence where imputation...
  • Amos

  • Referenced in 60 articles [sw06515]
  • software lets you build models more accurately than with standard multivariate statistics techniques. Users ... allows you to build attitudinal and behavioral models that reflect complex relationships. The software: Provides...
  • Emmixuskew

  • Referenced in 24 articles [sw16349]
  • package EMMIXuskew: Fitting Unrestricted Multivariate Skew t Mixture Models. Functions to fit finite mixture ... unrestricted multivariate skew t (FM-uMST) model, random sample generation, discriminant analysis...
  • MICE

  • Referenced in 163 articles [sw09315]
  • package mice: Multivariate Imputation by Chained Equations. Multiple imputation using Fully Conditional Specification (FCS) implemented ... algorithm. Each variable has its own imputation model. Built-in imputation models are provided...