tseries, pastecs, locfit, tseriesChaos, RTisean,
tsDyn, forecast
The package implements several time series filters useful
for smoothing, trend and cylical componet astimatin. The routines
this package includes although comonly used in economics and finance
they have wide application area. Current filters included in the
package are Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott,
Butterworth, and trigonometric regression filters.

tseries, pastecs, locfit, tseriesChaos,
RTisean, tsDyn, forecast
The package implements several time series filters useful
for smoothing and extracting trend and cyclical components of a time
series. The routines are commonly used in economics and finance,
however they should also be interest to other areas. Currently,
Christiano-Fitzgerald, Baxter-King, Hodrick-Prescott, Butterworth,
and trigonometric regression filters are included in the package.

tseries, pastecs, locfit, tseriesChaos, RTisean, tsDyn,
forecast
The package implements several time series filters useful
for smoothing and extracting trend and cyclical components of a
time series. The routines are commonly used in economics and
finance, however they should also be interest to other areas.
Currently, Christiano-Fitzgerald, Baxter-King,
Hodrick-Prescott, Butterworth, and trigonometric regression
filters are included in the package.

tseries, pastecs, locfit, tseriesChaos, tsDyn, forecast
The mFilter package implements several time series filters useful
for smoothing and extracting trend and cyclical components of a
time series. The routines are commonly used in economics and
finance, however they should also be interest to other areas.
Currently, Christiano-Fitzgerald, Baxter-King,
Hodrick-Prescott, Butterworth, and trigonometric regression
filters are included in the package.

Gene set analysis based on GSZ-scoring function and asymptotic
p-value
Performs gene set analysis based on GSZ scoring function and asymptotic p-value. It is different from GSZ in that it implements asymptotic p-values instead of empirical p-values. Asymptotic p-values are calculated by fitting suitable distribution model to the null distribution. Unlike empirical p-values, resolution of asymptotic p-values are independent of the number of permutations and hence requires considerably fewer permutations. In addition, this package allows gene set analysis with seven other popular gene set analysis methods.