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  • gcmr
  • Referenced in 27 articles [sw07433]
  • models for marginal regression analysis of non-normal dependent observations. The class provides a natural...

  • Pseudospectra
  • Referenced in 18 articles [sw17465]
  • that the matrix or operator is non-normal, and the eigenvectors are not orthogonal. Pseudospectra ... analytical and graphical alternative for investigating non-normal matrices and operators. Follow the links below...

  • glmmML
  • Referenced in 9 articles [sw07509]
  • effects models. The package glmmML allows non-normal distributions in the specification of random intercepts...

  • mcglm
  • Referenced in 5 articles [sw23203]
  • McGLMs is a general framework for non-normal multivariate data analysis, designed to handle multivariate ... involving known matrices. The models take non-normality into account in the conventional...

  • GFD
  • Referenced in 7 articles [sw22735]
  • general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs...

  • repeated
  • Referenced in 4 articles [sw23231]
  • package repeated: Non-Normal Repeated Measurements Models. Various functions to fit models for non-normal...

  • qualityTools
  • Referenced in 5 articles [sw12205]
  • methodology.It covers distribution fitting, normal and non-normal process capability indices, techniques for Measurement Systems...

  • EMMIXcskew
  • Referenced in 6 articles [sw16159]
  • flexible family of models to handle non-normal data, with parameters for capturing skewness...

  • SemiParSampleSel
  • Referenced in 5 articles [sw24025]
  • distribution linking the two equations is bivariate normal. We introduce the R package SemiParSampleSel which ... linear covariate-response relationships, and non-normal bivariate distributions between the model equations. We provide...

  • RSGHB
  • Referenced in 5 articles [sw23112]
  • supported include normal, positive/negative log-normal, positive/negative censored normal, and the Johnson SB distribution. Kenneth ... paper on using HB with non-normal distributions here: http://eml.berkeley.edu// train/trainsonnier.pdf...

  • BinNonNor
  • Referenced in 3 articles [sw11015]
  • Data Generation with Binary and Continuous Non-normal Components. Generation of multiple binary and continuous ... non-normal variables simultaneously given the marginal characteristics and association structure based on the methodology...

  • miscor
  • Referenced in 3 articles [sw16376]
  • simulation of bivariate normal and non-normal distribution with a specified correlation...

  • Johnson Curve
  • Referenced in 2 articles [sw36222]
  • Curve Toolbox for Matlab: analysis of non-normal data using the Johnson family of distributions ... Johnson family of distributions to analyze non-normal, univariate data sets. Portions...

  • Seminormalization
  • Referenced in 3 articles [sw30571]
  • seminormal. Roughly speaking a ring is non-normal if in the Spec, points are identified...

  • boxcoxfr
  • Referenced in 3 articles [sw24079]
  • parameter for solving the issues of non-normality and/or heterogeneity of variances in analysis...

  • GEST
  • Referenced in 3 articles [sw29592]
  • levels, particularly their correlational structure and non-normality, make simple similarity metrics such as Euclidean...

  • BSL
  • Referenced in 2 articles [sw29747]
  • standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution ... /10618600.2017.1302882>) uses an unbiased estimator to the normal density. A semi-parametric version ... more robust to non-normal summary statistics. Shrinkage estimations can help to bring down...

  • PMCMRplus
  • Referenced in 2 articles [sw28101]
  • variances are provided. Van der Waerden’s normal scores test for omnibus, all-pairs ... tests is provided for non-normally distributed residuals and homogeneous variances. The Kruskal-Wallis...

  • CLProver
  • Referenced in 2 articles [sw39245]
  • automated reasoning for Coalition Logic, a non-normal modal logic that can be used...