• Mplus

  • Referenced in 339 articles [sw06511]
  • observed variables that are continuous, censored, binary, ordered categorical (ordinal), unordered categorical (nominal), counts...
  • HLM

  • Referenced in 44 articles [sw06516]
  • account for variations at each level, utilizing variables specified at each level. HLM not only ... program allows for continuous, count, ordinal, and nominal outcome variables and assumes a functional relationship...
  • ordinalForest

  • Referenced in 3 articles [sw26301]
  • Forests: Prediction and Variable Ranking with Ordinal Target Variables. The ordinal forest (OF) method allows ... predict the values of the ordinal target variable for new observations. Moreover, by means ... prediction of the values of the ordinal target variable. OF is presented in Hornung ... target variable values of new observations). References: Hornung R. (2017) Ordinal Forests. Tech...
  • party

  • Referenced in 27 articles [sw07330]
  • problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement...
  • clustMD

  • Referenced in 10 articles [sw25059]
  • which consist of continuous, binary, ordinal or nominal variables) using a parsimonious mixture of latent...
  • OrdFacReg

  • Referenced in 2 articles [sw24879]
  • association between one or more ordinal explanatory variables and an outcome variable, at the same ... covariates of any type. The outcome variable may be continuous, binary, or represent censored survival ... function, using monotonicity constraints on the ordinal variables improves efficiency in estimating parameters, especially when...
  • homals

  • Referenced in 13 articles [sw13953]
  • nominal, ordinal, and numerical scale levels (for rank-1 restrictions). Variables can be grouped into...
  • PROC CATMOD

  • Referenced in 3 articles [sw12082]
  • mean scores if the dependent variables are ordinally scaled. But they can also be marginal ... incorporate the essential information from the dependent variables...
  • ordPens

  • Referenced in 4 articles [sw08178]
  • Predictors. Selection and/or smoothing of ordinally scaled independent variables using a group lasso or generalized...
  • CategoricalArrays.jl

  • Referenced in 1 article [sw34066]
  • unordered (nominal variables) and ordered categories (ordinal variables), optionally with missing values...
  • ordinalCont

  • Referenced in 1 article [sw36710]
  • ordinalCont: Ordinal Regression Analysis for Continuous Scales. A regression framework for response variables which ... linearity. We treat them as ordinal variables, measured on a continuous scale. A function...
  • hopit

  • Referenced in 1 article [sw30888]
  • functions for analyzing different self-reported ordinal variables, and for helping to estimate their biases ... second set of independent variables (threshold variables) is used to model cut-points between adjacent ... continuous latent health is projected onto the ordinal self-rated measure. The fitted model ... calculate an individual predicted latent status variable, a latent index, and standardized latent coefficients...
  • MulSubSel_3

  • Referenced in 3 articles [sw26315]
  • written to generate factor and regression variables required for implementing asymmetry, non-independence, non-symmetry ... nominal or ordinal categories. While several authors have developed similar factor variables for use with ... fixed and variable distance models as well as the quasi-ordinal symmetry model. Further ... model in terms of the required factor variable is different from those defined for implementation...
  • ggalluvial

  • Referenced in 1 article [sw33025]
  • Alluvial Plots in ’ggplot2’. Alluvial plots use variable-width ribbons and stacked bar plots ... repeated-measures data with categorical or ordinal variables; see Riehmann, Hanfler, and Froehlich...
  • BISERIAL

  • Referenced in 1 article [sw24298]
  • measured as binary. If the binary variable is truly dichotomous, then the point biserial correlation ... between a binary and a rankings (ordinal) variable. The BISERIAL macro produces only an output...
  • ForImp

  • Referenced in 1 article [sw27438]
  • missing values in datasets of ordinal variables through a forward imputation algorithm...
  • BinOrdNonNor

  • Referenced in 3 articles [sw25215]
  • from a mix of binary, ordinal and continuous random variables with a pre-specified correlation...
  • PoisBinOrdNor

  • Referenced in 2 articles [sw22169]
  • Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal characteristics...
  • MotionCharts

  • Referenced in 3 articles [sw27845]
  • Motion Charts allows mapping of ordinal, nominal and quantitative variables onto time, 2D axes, size...
  • CUB

  • Referenced in 1 article [sw32295]
  • estimates a probability model for an ordinal outcome variable, where the probability to observe...