API for GPFDA
Apply Gaussian Process in Functional data analysis

Global functions
D2 Man page Source code
D2linear.a Source code
D2pow.ex Source code
D2pow.ex.v Source code
D2pow.ex.w Source code
D2rat.qu Source code
D2rat.qu.a Source code
D2rat.qu.s Source code
D2rat.qu.w Source code
D2vv Source code
DCov.linear.a Source code
DCov.pow.ex.v Source code
DCov.pow.ex.w Source code
DCov.rat.qu.a Source code
DCov.rat.qu.s Source code
DCov.rat.qu.w Source code
DCov.vv Source code
Dpow.ex Source code
Drat.qu Source code
GPFDA Man page
GPFDA-package Man page
betaPar Man page Source code
co2 Man page
cov.linear Man page Source code
cov.pow.ex Man page Source code
cov.rat.qu Man page Source code
diag.linear Source code
diag.pow.ex Source code
diag.rat.qu Source code
fisherinfo Source code
freg1 Source code
freg2 Source code
gp.Dlikelihood2 Source code
gp.loglikelihood2 Source code
gpfr Man page Source code
gpfrpred Man page Source code
gpfrtrain Source code
gppredict Man page Source code
gpr Man page Source code
main1 Source code
main2 Source code
main3 Source code
mat2fd Man page Source code
mymatrix Source code
mymatrix2 Source code
plot.gpfr Man page Source code
plot.gpr Man page Source code
repgp.Dloglikelihood Source code
repgp.loglikelihood Source code
rmse Source code
xixj Man page Source code
xixj_sta Man page Source code
GPFDA documentation built on May 29, 2017, 3:12 p.m.