95bdb188500aebe0d4cfdc4256a6e642 *DESCRIPTION
028710478b6f67a991cbea1385c107dc *NAMESPACE
6bad8d4655908214b581113d7df2a8c1 *R/ANOVA.R
ed80c9481965ffb66f8fd6e74b021b2e *R/ARMA.R
60037e2dbba247778cc05d05c9da07cf *R/ARMA_optim.R
a104c563129712c6db338ee53f91995e *R/Binary_ANOVA.R
dc8afa18d3a777bd475d1caef346be62 *R/Boost.R
83f199385584b96108d406fa38eeb678 *R/Causal_matrix.R
4097c56a94bc76f5cc71b097fa2454e0 *R/Causation.R
064bd4f3797e3c4c68e3b2a52fab6b37 *R/Co_PM_dep.R
f9903434c5d330857d2c6d9650e759df *R/Dependence.R
4cb59e4238125fa6e68f78dd8f3b0033 *R/Dependence_matrix.R
698bde6b5e3195bb3018464f6258985c *R/FSD.R
95124a5d64d55fa183e3d4c47cb6490d *R/Internal_Functions.R
9570a52f2425e7e4826344a3a400d7f8 *R/LPM_UPM_VaR.R
26a1dd6a324a68aebb6bebc5af379fc0 *R/Multivariate_Regression.R
bbb0747f95c3dd4b360506ab8bb93949 *R/NNS_Distance.R
d7b873d105b9c16fb5cccd34584347a7 *R/NNS_VAR.R
9c397647f8f87aa95358515b4fef6a82 *R/NNS_meboot.R
680ecd52084d7506071a0a16c7ea44b3 *R/NNS_term_matrix.R
bf431a37ec405b0daeb42f853102654e *R/Normalization.R
b0980b22863433d2889dff152c57b0ff *R/Numerical_Differentiation.R
b6656e69ebf97c50aa26717d3c0f0e5f *R/Partial_Moments.R
0e3668acd73f533de7c4f5f9720f74d3 *R/Partition_Map.R
ce14a479bf5bef81fbdadc08c081a3f9 *R/Regression.R
bc20fa9aa3d50d7ad96bf89ab3d72386 *R/SD_Efficient_Set.R
67771152602366fbf4f1ecf2913f15be *R/SSD.R
8e49032735ba29529cb1326e29e38b9d *R/Seasonality_Test.R
cf866151917e762710fff44c59c0909d *R/Stack.R
51753c421fd7b3d2315d5c4dcd9b8947 *R/TSD.R
f1e4fa01a789481cd0d973ad2a99a363 *R/Uni_Causation.R
26eaa2797b07a5462020ad3b26126135 *R/Uni_SD_Routines.R
2c6a2464353804e2e2e2ec1887840061 *R/dy_d_wrt.R
371cb5e362278b89a6ef08f3d9d5504e *R/dy_dx.R
0cf31513908776a6faeb92625f5bbc40 *R/gvload.R
9e9eb4169d72e7c1a44496b48634b8b3 *README.md
cf34ae1558a6decc60dbc0b88af163cc *build/vignette.rds
d053ad5416f348b77225cb276c48b138 *inst/doc/NNSvignette_Classification.R
6a6c485923433d8f0a39735ec9d4b19d *inst/doc/NNSvignette_Classification.Rmd
a40b62325566de9d4fb13c70a6220219 *inst/doc/NNSvignette_Classification.html
cc64e8e815c060d06dd17ce762dac39c *inst/doc/NNSvignette_Clustering_and_Regression.R
896bb40bcac9112971371b3181068036 *inst/doc/NNSvignette_Clustering_and_Regression.Rmd
9e309fc61abe92f1596202ce5711c941 *inst/doc/NNSvignette_Clustering_and_Regression.html
049776a5f5789f8150e298c34ade103d *inst/doc/NNSvignette_Correlation_and_Dependence.R
6a84b330f00e86c2b1d2bed5debfaf72 *inst/doc/NNSvignette_Correlation_and_Dependence.Rmd
3f48f9642d392dde99100b200ea9ac8f *inst/doc/NNSvignette_Correlation_and_Dependence.html
d09e845c1a55d906f46d8f40026be987 *inst/doc/NNSvignette_Forecasting.R
4a89cc94162f3df2a2c9d50576f203b6 *inst/doc/NNSvignette_Forecasting.Rmd
28521822e32439f82df661f12dcf0c35 *inst/doc/NNSvignette_Forecasting.html
82705171340cc54e585e84c86a9c7608 *inst/doc/NNSvignette_Partial_Moments.R
2d887bc733ec03fb98632a8e1de24f57 *inst/doc/NNSvignette_Partial_Moments.Rmd
e2206e31bc24d8dc3e459499d2532f83 *inst/doc/NNSvignette_Partial_Moments.html
58996d8d04cc52ba439fc3bff6634ace *man/Co.LPM.Rd
0cd832ea6dd66ee00e40de5f88997766 *man/Co.UPM.Rd
4a732a267a08c76acdffd7d7d583e059 *man/D.LPM.Rd
2f540f63e0460e20114032877e119e1f *man/D.UPM.Rd
beaa2c546096750483e70fad6d317a46 *man/LPM.Rd
1b3de0bd3bbbf219877519e1abd1cad6 *man/LPM.VaR.Rd
634caa881d8b1ec94fab7a9fc839407d *man/LPM.ratio.Rd
e459a8ef82fceaa2e5e4bf210b989be5 *man/NNS.ANOVA.Rd
1cb1bcd933b5f03d08712658cf9cac9e *man/NNS.ARMA.Rd
dd6e7e3874416ead02df9a8a9115f1b9 *man/NNS.ARMA.optim.Rd
6258925269d0f3693eed6f3260581ab5 *man/NNS.CDF.Rd
f511256b10652e567615f490d1991676 *man/NNS.FSD.Rd
403801c5080fff66d5f43717b08bcdc9 *man/NNS.FSD.uni.Rd
337fd97b7f420fb247bc514a0d894ab6 *man/NNS.PDF.Rd
c038412569c1c07372028d94fddfdc9a *man/NNS.SD.efficient.set.Rd
11dca4e4edede54dc05d72d4102231e2 *man/NNS.SSD.Rd
64dbe856a551395d0c82d8c83ab2615f *man/NNS.SSD.uni.Rd
6428b73c90e0ffbb6f87036af9f575e4 *man/NNS.TSD.Rd
aeee15ba7007cba68572ba081fd2c113 *man/NNS.TSD.uni.Rd
6a82c33f71ce8d40ce56d36b1e00e9a2 *man/NNS.VAR.Rd
aa40072b368efce93f4587b9c87a9363 *man/NNS.boost.Rd
dd5d0d1ccf828695e77e15e99bc0ecfd *man/NNS.caus.Rd
d9cc68ac63e37e5e271fd199e1249753 *man/NNS.dep.Rd
97cd3ee4ae32f6d155e735c3b24929b0 *man/NNS.dep.hd.Rd
fe75c91a72c6620f45bb64b8f1dff97c *man/NNS.diff.Rd
53285a4b705752c5b24a5c62974e27fd *man/NNS.distance.Rd
256a682a62251d30c31d7b2b9a028b56 *man/NNS.meboot.Rd
a35bb819cecaa3ce51aaeb9889b5aea5 *man/NNS.norm.Rd
f343ff034ce1ae74416f80e1a5ea68c0 *man/NNS.part.Rd
2a5501cdffe26b8b6b22582bb4e4d2eb *man/NNS.reg.Rd
4885c4e0e655c0a7702b4a433758a647 *man/NNS.seas.Rd
ec538b8dea597eccbffb2cdf29963e2a *man/NNS.stack.Rd
dcfec58e1af702629cb44a45fac5bb48 *man/NNS.term.matrix.Rd
dac7f7fc468bb648357f27d6abc7c52c *man/PM.matrix.Rd
74534e95374ec43a68f3228b962c2ead *man/UPM.Rd
5fe832afab8be0409af3cbfcac587b3d *man/UPM.VaR.Rd
12dad6ed230d5234940f7ca297475baf *man/UPM.ratio.Rd
023916d09f433f0fbbe7d833324ea2b8 *man/dy.d_.Rd
900bf3c5d582513b23cb6c087ef3f3f2 *man/dy.dx.Rd
6a6c485923433d8f0a39735ec9d4b19d *vignettes/NNSvignette_Classification.Rmd
896bb40bcac9112971371b3181068036 *vignettes/NNSvignette_Clustering_and_Regression.Rmd
6a84b330f00e86c2b1d2bed5debfaf72 *vignettes/NNSvignette_Correlation_and_Dependence.Rmd
4a89cc94162f3df2a2c9d50576f203b6 *vignettes/NNSvignette_Forecasting.Rmd
2d887bc733ec03fb98632a8e1de24f57 *vignettes/NNSvignette_Partial_Moments.Rmd
