Least angle regression for time series analysis

Documentation for package ‘tslars’ version 1.0

tslars-package	The tslars package performs variable selection for high-dimensional linear time series models.
coef.tslars	Function to obtain the selected model accoring the the time series LARS algorithm
design	Function to create a design matrix.
minindexmatrix	Function that returns the row and column where the matrix reaches its minimum
predict.tslars	Function to obtain the selected model accoring the the time series LARS algorithm
print.summary.tslars	Function to obtain the selected model accoring the the time series LARS algorithm
print.tslars	Function to obtain the selected model accoring the the time series LARS algorithm
Rsquared	Compute $R^2$
summary.tslars	Function to obtain the selected model accoring the the time series LARS algorithm
tslars	Function to obtain the selected model accoring the the time series LARS algorithm
tslars.p	Function to obtain the selected model accoring the the time series LARS algorithm