Hansen's Covariate-Augmented Dickey-Fuller (CADF) Test
This package performs Hansen's (1995) Covariate-Augmented
Dickey-Fuller (CADF) test. The only required argument is y, the
univariate time series to be tested. If no stationary covariate
X is passed to the procedure, then an ordinary ADF test is
performed. The p-values of the test are computed using a
procedure proposed in Costantini, Lupi and Popp (2007),
illustrated in Lupi (2009).

This package performs the CADF unit root test proposed in Hansen
(1995).
This package performs Hansen's (1995) Covariate-Augmented
Dickey-Fuller (CADF) test. The only required argument is y, the
Tx1 time series to be tested. If no stationary covariate X is
passed to the procedure, then an ordinary ADF test is
performed. The p-values of the test are computed using a
procedure proposed in Costantini, Lupi and Popp (2007),
illustrated in Lupi (2009).

A Package to Perform Covariate Augmented Dickey-Fuller Unit Root
Tests
Hansen's (1995) Covariate-Augmented
Dickey-Fuller (CADF) test. The only required argument is y, the
Tx1 time series to be tested. If no stationary covariate X is
passed to the procedure, then an ordinary ADF test is
performed. The p-values of the test are computed using the
procedure illustrated in Lupi (2009).

Provides a GUI to several statistical methods for biological inferences
Lester Yuan, Tom Stockton, Doug Bronson, Pasha Minallah, and Mark Fitzgerald
JGR, XML, lattice, bio.infer, gdata, gmodels, car, MASS, quantreg, rpart
Using JGR, provides a GUI to several statistical methods -
scatterplot, boxplot, linear regression, generalized linear regression, quantile,
regression, conditional probability calculations,
and regression trees.

Provides a GUI to several statistical methods useful for causal assessment.

JGR, XML, lattice, bio.infer, gdata, gmodels, car, MASS, quantreg, rpart, rJava

Provides a GUI to several statistical methods useful for causal
assessment.
Lester Yuan, Tom Stockton, Doug Bronson, Pasha Minallah, and
Mark Fitzgerald
JGR, XML, lattice, bio.infer, gdata, gmodels, car, MASS,
quantreg, rpart, rJava
Using JGR, provides a GUI to several statistical methods -
scatterplot, boxplot, linear regression, generalized linear
regression, quantile, regression, conditional probability
calculations, and regression trees.