BTLLasso (version 0.1-2)

print.cv.BTLLasso: Print function for cv.BTLLasso objects

Description

Prints the most important output of cv.BTLLasso objects.

Usage

"print"(x, ...)

Arguments

x

cv.BTLLasso object

...

possible further arguments for print command

Value

x

cv.BTLLasso object

References

Schauberger, Gunther and Tutz, Gerhard (2015): Modelling Heterogeneity in Paired Comparison Data - an L1 Penalty Approach with an Application to Party Preference Data, Department of Statistics, LMU Munich, Technical Report 183

See Also

cv.BTLLasso

Examples

## Not run: 
# ## load data set
# data(GLESsmall)
# 
# # define response and covariate matrix
# X <- scale(GLESsmall[, 11:14])
# Y <- as.matrix(GLESsmall[, 1:10])
# 
# # vector of subtitles, containing the coding of the single covariates
# subs <- c("(in years)","female (1); male (0)",
# "East Germany (1); West Germany (0)","(very) good (1); else (0)")
# 
# # vector of tuning parameters
# lambda <- exp(seq(log(31),log(1),length=50))-1
# 
# 
# # compute 10-fold cross-validation
# set.seed(5)
# m.cv <- cv.BTLLasso(Y = Y, X = X, folds = 10, lambda = lambda, cores = 10)
# 
# print(m.cv)
# ## End(Not run)