Man pages for gausscov
The Gaussian Covariate Method for Variable Selection

abcqlAmerican Business Cycle
bostonBoston data
decodeDecodes the number of a subset selected by fasb.R to give the...
decompDecomposes given coded interactions into their component...
f1stStepwise selection of covariates
f2stRepeated stepwise selection of covariates
f3stStepwise selection of covariates
f3stiSelection of covariates with given excluded covariates
fasbCalculates all subsets where each included covariate is...
fgeninterGeneration of interactions
fgentrigGeneration of sine and cosine functions
fgr1stCalculates a dependence graph using Gaussian stepwise...
fgr2stCalculates an independence graph using repeated stepwise...
fgrallCalculates a dependence graph using Gaussian all subset...
flagCalculation of lagged covariates
fnfpEstimates the number of false positives for given dimensions...
fpsiredCalculates Hampel's redescending psi function
fpvalCalculates the regression coefficients, the P-values and the...
fr1stRobust stepwise selection of covariates
frasbRobust selection of covariates using Huber's psi-function or...
frpvalRobust regression using Huber's psi-function or Hampel's...
fselectSelects the subsets specified by fasb.R and frasb.R.
fundrConverts directed into an undirected graph
fvautoVector autoregressive approximation
leukemiaLeukemia data
mel_tempMelbourne minimum temperature
nufpnufp
redwineRedwine data
snsptSunspot data
gausscov documentation built on April 26, 2022, 5:07 p.m.