• RegEM

  • Referenced in 20 articles [sw04943]
  • Schneider, 2001: Analysis of incomplete climate data: Estimation of mean values and covariance matrices...
  • fdcov

  • Referenced in 2 articles [sw31462]
  • package fdcov: Analysis of Covariance Operators. Provides a variety of tools for the analysis...
  • gap

  • Referenced in 5 articles [sw24918]
  • genetic markers including haplotype analysis with or without environmental covariates...
  • SPECTRODE

  • Referenced in 12 articles [sw13984]
  • such as estimation and hypothesis testing for covariance matrices. Our proposal, implemented in open source ... high-dimensional data analysis...
  • fANCOVA

  • Referenced in 1 article [sw40265]
  • package fANCOVA: Nonparametric Analysis of Covariance. A collection of R functions to perform nonparametric analysis ... covariance for regression curves or surfaces. Testing the equality or parallelism of nonparametric curves ... analysis of variance (ANOVA) or analysis of covariance (ANCOVA) for one-sample functional data. Three...
  • pi-MASS

  • Referenced in 20 articles [sw17249]
  • having interpretable measures of confidence for individual covariates being included in the model, which ... penalized regression methods. We focus primarily on analysis of quantitative phenotypes, and on appropriate prior ... variance in outcome explained by relevant covariates. We also emphasize the potential for BVSR...
  • SCORIGHT

  • Referenced in 1 article [sw16979]
  • testlets including a module for covariate analysis. SCORIGHT is a very general computer program ... allows the user to include covariates in the analysis...
  • Gmedian

  • Referenced in 2 articles [sw21318]
  • Online Robust Principal Components Analysis. The geometric median covariation matrix is a robust multivariate indicator ... covariance determinant when the dimension of the data is small and robust principal components analysis ... robust principal components analysis based on the median covariation matrix. All studied algorithms are available...
  • MetabolAnalyze

  • Referenced in 1 article [sw35590]
  • components analysis, probabilistic principal components and covariates analysis and mixtures of probabilistic principal components models...
  • DSBayes

  • Referenced in 3 articles [sw16731]
  • Dixon-Simon model for subgroup analysis (with binary covariates) in clinical trials...
  • Survival Kit

  • Referenced in 3 articles [sw24155]
  • estimate random effects. Methods of survival analysis have primarily been developed in the area ... single response time. Fixed and random covariates (discrete and continuous) as well as strata ... included in the analysis. Both types of covariates may be time-dependent. Features include likelihood...
  • CanoDraw

  • Referenced in 3 articles [sw04565]
  • assigned to them in particular analysis: environmental variables, covariables, and supplementary variables. Ecologists often ... supports this project-oriented approach to data analysis, so it is also centered around projects...
  • Pmetrics

  • Referenced in 1 article [sw41099]
  • including time-dependent and conditional variables, Covariate analysis with any structural model you wish...
  • anacor

  • Referenced in 6 articles [sw24054]
  • Simple and Canonical Correspondence Analysis. Performs simple and canonical CA (covariates on rows/columns...
  • WebArrayDB

  • Referenced in 3 articles [sw37317]
  • tests, non-parametric tests and analysis of variance or covariance (ANOVA/ANCOVA) are among the choices...
  • CensMixReg

  • Referenced in 12 articles [sw21090]
  • been widely used for the modeling and analysis of data from a heterogeneous population. Moreover ... asymptotic covariance matrix of the estimators is also presented. Results obtained from the analysis...
  • EASY - FIT

  • Referenced in 9 articles [sw05976]
  • conditions.A statistical analysis provides confidence intervals for estimated parameters, correlation and covariance matrix, identification...
  • MIXOR

  • Referenced in 26 articles [sw08990]
  • models. These models can be used for analysis of dichotomous and ordinal outcomes from either ... Cholesky factor of the random-effects variance-covariance matrix is estimated, along with the effects...
  • MASTOR

  • Referenced in 2 articles [sw23134]
  • have missing data (phenotypes, genotypes, or covariates). When some individuals in a sample are related ... gained by incorporating all individuals in the analysis, including individuals with partially missing data, while ... analysis while correcting for dependence. Individuals with available phenotype and covariate information ... missing covariate or phenotype information can contribute to the analysis. MASTOR is valid even when...
  • PARAFAC

  • Referenced in 24 articles [sw14789]
  • need for a separate ‘rotation’ phase of analysis. The model can be used several ways ... original observations by fitting a set of covariance matrices computed from the observations, with each ... Even more generally, one can simultaneously analyze covariance matrices computed from different samples, perhaps corresponding ... data. Several generalizations of the parallel factor analysis model are currently under development, including ones...