Estimate_Models: Results of the Each Data and Data Splits
In pomodoro: Predictive Power of Linear and Tree Modeling

View source: R/Estimate_Models.R

Estimate_Models

R Documentation

Results of the Each Data and Data Splits

Description

Results of the Each Data and Data Splits

Usage

Estimate_Models(DataSet, yvar, exog = NULL, xvec, xadd, type, dnames)

Arguments

`DataSet`	The name of the Dataset.
`yvar`	Y variable.
`exog`	is a vector to be subtract from the calculation.
`xvec`	is a vector of the variables to be used.
`xadd`	is an additional vector to be used.
`type`	can be RF, GLM, MLM, BAG, and GBM.
`dnames`	is the unique values of exog.

Value

The output from Estimate_Models.

Examples


sample_data <- sample_data[c(1:750),]
m2.xvar0 <- c("sex","married","age","havejob","educ","rural","region","income")
CCP.RF <- Estimate_Models(sample_data, yvar = c("Loan.Type"),
exog = "political.afl", xvec = m2.xvar0,
xadd = "networth", type = "RF", dnames = c("0","1"))

pomodoro documentation built on March 26, 2022, 5:05 p.m.