• spatstat

  • Referenced in 142 articles [sw04429]
  • spatstat: Spatial Point Pattern analysis, model-fitting, simulation, tests , A package for analysing spatial data ... Point Patterns, including multitype/marked points and spatial covariates, in any two-dimensional spatial region. Also ... functions for plotting spatial data, exploratory data analysis, model-fitting, simulation, spatial sampling, model diagnostics ... Models may include dependence on covariates, interpoint interaction, cluster formation and dependence on marks. Fitted...
  • ROBPCA

  • Referenced in 76 articles [sw11592]
  • principal component analysis (PCA). Classical PCA is based on the empirical covariance matrix...
  • scca

  • Referenced in 6 articles [sw39757]
  • scca-package: Sparse canonical covariance analysis. scca is used to perform sparse canonical covariance analysis...
  • PROC GLM

  • Referenced in 8 articles [sw12073]
  • regression, analysis of variance, analysis of covariance, multivariate analysis of variance, and partial correlation. PROC...
  • LogXact

  • Referenced in 16 articles [sw12105]
  • complexity of conducting regression analysis over multiple covariates is well-documented. The challenge only intensifies...
  • SACS

  • Referenced in 7 articles [sw03265]
  • software SACS is developed for sensitivity analysis in covariance structure analysis. It consists...
  • invGauss

  • Referenced in 132 articles [sw11207]
  • Gjessing HK. Survival and Event History Analysis. A Process Point of View. Springer ... with a Gaussian distribution. The model allows covariates to influence starting values of the Wiener...
  • mirt

  • Referenced in 36 articles [sw13479]
  • available for modeling item testlets. Multiple group analysis and mixed effects designs also are available ... item functioning and modelling item and person covariates...
  • gss

  • Referenced in 293 articles [sw06099]
  • finding their ways into everyday data analysis by practitioners. While scores of methods have proved ... estimation with censored life time data and covariates. The unifying themes are the general penalized...
  • LIBRA

  • Referenced in 29 articles [sw10553]
  • LIBRA. LIBRA: a MATLAB Library for Robust Analysis is developed at ROBUST@Leuven, the research ... location and covariance estimation (MCD), regression (LTS, MCD-regression), Principal Component Analysis (RAPCA, ROBPCA), Principal...
  • MIXED

  • Referenced in 75 articles [sw06480]
  • linear mixed model approach for the analysis of repeated measurements data using the SAS Software ... effects and through the specification of a covariance structure. PROC MIXED provides a useful covariance...
  • shapes

  • Referenced in 19 articles [sw14500]
  • components analysis, permutation and bootstrap tests, thin-plate spline transformation grids and comparing covariance matrices...
  • CovTools

  • Referenced in 2 articles [sw26709]
  • package CovTools: Statistical Tools for Covariance Analysis. Covariance is of universal prevalence across various disciplines ... geometric and inferential tools for convenient analysis of covariance structures, topics including distance measures, mean ... estimation. For an introduction to covariance in multivariate statistical analysis, see Schervish...
  • sna

  • Referenced in 23 articles [sw07318]
  • social network analysis, including node and graph-level indices, structural distance and covariance methods, structural...
  • NParCov3

  • Referenced in 2 articles [sw24139]
  • Nonparametric Randomization-Based Analysis of Covariance. Analysis of covariance serves two important purposes ... between the treatment groups. The nonparametric analysis of covariance method of Koch, Tangen, Jung...
  • comproc

  • Referenced in 5 articles [sw37484]
  • commands roccurve and comproc: Accommodating Covariates in ROC Analysis. Classification accuracy is the ability ... there are often covariates that should be incorporated into the ROC analysis. We describe three...
  • PRELIS

  • Referenced in 37 articles [sw09526]
  • Data generatiion; Computing moment matrices; Computing asymptotic covariance matrices of sample moments; Imputation by matching ... censored regression; ML and MINRES exploratory factor analysis...
  • heplots

  • Referenced in 5 articles [sw06767]
  • MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA...
  • leapp

  • Referenced in 11 articles [sw11213]
  • vector, an additional known covariates matrix. A two stage analysis is applied to counter...
  • Worm plot

  • Referenced in 13 articles [sw08567]
  • covariate. Though the worm plot is a general diagnostic tool for the analysis of residuals ... constructing growth reference curves, where the covariate of interest is age. The LMS model...