• party

  • Referenced in 27 articles [sw07330]
  • ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales...
  • gss

  • Referenced in 293 articles [sw06099]
  • that are suitable for both univariate and multivariate problems. In this book, the author presents ... regression with Gaussian and non-Gaussian responses as well as with censored life time data ... penalized likelihood method and the construction of multivariate models with built-in ANOVA decompositions. Extensive...
  • covreg

  • Referenced in 12 articles [sw11080]
  • mean vectors and covariance matrices of multivariate response variables, as described in Hoff...
  • bcp

  • Referenced in 10 articles [sw14696]
  • estimation of change point models with multivariate responses. Parallel MCMC, previously available in bcp v.3.0.0...
  • GJRM

  • Referenced in 10 articles [sw23082]
  • framework for fitting a number of multivariate response regression models under various sampling schemes...
  • ltm

  • Referenced in 42 articles [sw07911]
  • multivariate dichotomous and polytomous data using latent variable models, under the Item Response Theory approach...
  • tlmec

  • Referenced in 15 articles [sw11119]
  • mixed-effects models with censored response using the multivariate-t distribution. Mixed-effects models ... measures data. A complication arises when the response is censored, for example, due to limits ... effects models with censored response (NLMEC/LMEC) based on the multivariate Student-t distribution...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • categorical responses is allowed. Dependence is conveniently modelled in terms of multivariate normal errors. Inference ... available in closed-form for continuous responses, in the non-continuous setting numerical approximations ... validating the adequacy of the assumed multivariate model. Methodology is implemented in a R package...
  • mcglm

  • Referenced in 6 articles [sw23203]
  • multivariate data analysis, designed to handle multivariate response variables, along with a wide range ... different types of response variables and covariance structures, including multivariate extensions of repeated measures, time...
  • heplots

  • Referenced in 5 articles [sw06767]
  • considered for linear regression models with multivariate response. Hy-poth-eses-error (HE) plots ... including one-way and two-way MANOVA, multivariate multiple regression and multivariate analysis of covariance...
  • MGLM

  • Referenced in 3 articles [sw19421]
  • package MGLM. Multivariate Response Generalized Linear Models. Provides functions that (1) fit multivariate discrete distributions ... regression and penalized regression on the multivariate categorical response data. Implemented models include: multinomial logit...
  • runmlwin

  • Referenced in 4 articles [sw23864]
  • nonhierarchical data structures; Estimation of multilevel multivariate response models, multilevel spatial models, multilevel measurement error...
  • mprobit

  • Referenced in 3 articles [sw07958]
  • mprobit: Multivariate probit model for binary/ordinal response. Multivariate normal rectangle probabilities (positive exchangeable, general, approximations...
  • mdhglm

  • Referenced in 3 articles [sw15647]
  • Linear Models. Allows various models for multivariate response variables where each response is assumed...
  • Latent GOLD

  • Referenced in 94 articles [sw11673]
  • explaining respondent heterogeneity in survey response patterns involving dichotomous items. During the 1970s, LC methodology ... field of finite mixture (FM) models for multivariate normal distributions began to emerge, through...
  • BMIRT ToolKit

  • Referenced in 5 articles [sw13942]
  • software: BMIRTII(Yao, 2003, 2010), Bayesian Multivariate item Response Theory, is a computer program that...
  • hoggorm

  • Referenced in 2 articles [sw29403]
  • hoggorm is a Python package for explorative multivariate statistics in Python. It contains PCA (principal ... single variable responses; PLSR2 for multivariate responses; matrix correlation coefficients RV, RV2 and SMI. Unlike...
  • globaltest

  • Referenced in 2 articles [sw19391]
  • there is often interest in identifying complex multivariate associations, for example, copy number regulated expression ... univariate response, to allow high-dimensional multivariate response. We apply the method to several simulated ... datasets, where we compare the performance of multivariate global test (G2) with univariate global test...
  • MBSGS

  • Referenced in 2 articles [sw23599]
  • designed for regression with a multivariate response variable, but also provides an implementation for univariate...
  • rr

  • Referenced in 6 articles [sw15913]
  • Methods for the Randomized Response Technique. Enables researchers to conduct multivariate statistical analyses of survey...