bayesToLatex: Create a string that can be used in Latex in an e.g....

In mmb: Arbitrary Dependency Mixed Multivariate Bayesian Models

Description

This function can be used to generate Latex-markup that models the full dependency between covariates and a target variable.

Usage

bayesToLatex(conditionalFeatures, targetFeature, includeValues = FALSE)

Arguments

conditionalFeatures	data.frame of Bayesian features, the target feature depends on.
targetFeature	data.frame that holds exactly one Bayesian feature, that is supposed to be the target-feture for Bayesian inferencing.
includeValues	default FALSE boolean to indicate whether to include the features' values or not, i.e. "A" vs. "A = setosa".

Value

a string that can be used in Latex documents.

Note

Use cat() to print a string that can be copy-pasted.

Author(s)

Sebastian Hönel [e-mail]

Examples

feat1 <- mmb::createFeatureForBayes(
  name = "Petal.Length", value = mean(iris$Petal.Length))
feat2 <- mmb::createFeatureForBayes(
  name = "Petal.Width", value = mean(iris$Petal.Width))
featT <- mmb::createFeatureForBayes(
  name = "Species", iris[1,]$Species, isLabel = TRUE)

cat(mmb::bayesToLatex(conditionalFeatures = rbind(feat1, feat2),
  targetFeature = featT, includeValues = TRUE))

mmb documentation built on Oct. 23, 2020, 5:21 p.m.