anchor_regression_gam: anchor_regression_gam
In simzim96/AnchorRegression: Perform AnchorRegression

Description Usage Arguments Value Examples

Perform an Generalized Additive Anchor Regression

anchor_regression_gam(
  x,
  anchor,
  gamma,
  target_variable,
  bin_factor = NULL,
  force_binary = TRUE
)

`x`	is a dataframe containing the matrix x containing the independent variables
`anchor`	is a dataframe containing the matrix anchor containing the anchor variable
`gamma`	is the regularization parameter for the Anchor Regression
`target_variable`	is the target variable name contained in the x dataframe
`bin_factor`	factor variable that can be transformed to a factor to partial out effects
`force_binary`	if set to TRUE forces bin_factor to be binary

A list with coefficient values and a list with the respective names overview_print. Additionally the transformed data as x and y plus the fixed lambda coefficient.

x <- as.data.frame(matrix(data = rnorm(10000),nrow = 1000,ncol = 10))
x$bin <- sample(nrow(x),x = c(1,0),prob = c(0.5,0.5),replace = TRUE)
anchor <- as.data.frame(matrix(data = rnorm(2000),nrow = 1000,ncol = 2))
colnames(anchor) <- c('X1','X2')
gamma <- 2
target_variable <- 'V2'
anchor_regression_gam(x, anchor, gamma, target_variable,bin_factor =  "bin")