This package provides standard way to visualize partial predicted
relationship by several statistical/machine learning methods.
Currently, lm()
, glm()
, glm.nb()
, lme()
, lmer()
, glmer()
, glmer.nb()
, glmmadmb()
, MCMCglmm()
, cforest()
, ctree()
, svm()
, randomForest()
, ranger()
, rpart()
, tree()
are supported.
Handling of models are based on
model.adapter class.
To install the package, please copy&paste following code into your R terminal.
If your don't have devtools
package, please install before running install script.
library(devtools)
install_github("https://github.com/Marchen/model.adapter")
install_github("https://github.com/Marchen/partial.plot")
Older version could be installed using following code.
install.packages(
c("model.adapter", "partial.plot"), type = "source",
repos = c(
"http://florivory.net/R/repos", options()$repos
)
)
To build the package from source codes, use source("build.r")
.
For the details see Quick start guide (English, Source Code) or (Japanese, Source Code).