2844db113987e9b7431fb2ed7a72324e *DESCRIPTION
51f1e07e64896bf846182a2373f4ed31 *NAMESPACE
fed47484ba4d1b062696c9796389a483 *R/ANOVA.R
2285ca4ec73a06cd03a7a585a6652be6 *R/ARMA.R
d1693b28eb0e3a977a80cfd7e2ccbb48 *R/ARMA_optim.R
7cfa71cbb2430c58a2c36f8c98a6c533 *R/Binary_ANOVA.R
afb6f4e96af7f4ef4a4e6b94701fc338 *R/Boost.R
a8668ff2a283147ef066ee1fe6fcbe59 *R/Causal_matrix.R
9b88c2c45c5510b232951421f33cd750 *R/Causation.R
ef79dacf441175fed9a8f3aa6e7e44e0 *R/Co_PM_dep.R
c9f924bf6ae192de8d059e221ac55693 *R/Correlation.R
06ebd1d82ab0dee1650aba4e9cfc2cf9 *R/Dependence.R
7406650947a78673c0304ac3027cc3fa *R/Dependence_base.R
d8d7937adafe4221dbe3de01589066a6 *R/Dependence_matrix.R
534991575adb8de0fe251b7632fec2d8 *R/FSD.R
3e4975cce208575c6cc6f66321381c46 *R/Internal_Functions.R
2da1b5ef695dabb12e536e26248ba83a *R/LPM_UPM_VaR.R
1bb39cd0356d488488dde06e6660d161 *R/Multivariate_Regression.R
f53f84f5bfdcf2d0f17855c92afed30c *R/NNS_Distance.R
30943297eb44d2f3c0c676a06753e81b *R/NNS_VAR.R
f0e7c4e26d07c15197e9babbe47a3b6b *R/NNS_term_matrix.R
4fada729dbd4f85f59e7f4ee12b134c6 *R/Normalization.R
c3a9d6f327b7d645ed66874994d1a549 *R/Numerical_Differentiation.R
c190fe3f68089c5de7d056a716e52cf2 *R/Partial_Moments.R
e03e17312c49876b167f882ee3df380e *R/Partition_Map.R
2e3311f3fb8a7cfd3cd4e9675c3f0b79 *R/Regression.R
f75a2dc2396c30a99a836d8802361ef4 *R/SD_Efficient_Set.R
047eea65f31acf926506dd432689bed7 *R/SSD.R
7a231d500767b00355f283b326017348 *R/Seasonality_Test.R
d1caca6d001a398a87ee8b1260af4393 *R/Stack.R
63b3b547d771e9f5e04c84bd669dde8b *R/TSD.R
1347bddcc899dd7fef07ac4019298ddf *R/Uni_Causation.R
c925c95f802e940eefeccfa4beabcbf8 *R/Uni_SD_Routines.R
78d17fd0f749ebbbe156ddb58a93dbcd *R/dy_d_wrt.R
1c9509582e933000a836dd5e67f8f9df *R/dy_dx.R
0f83a2ef0782ef5dab466926ee4e787a *R/gvload.R
0ff687ebf640e0df13931457671d1feb *README.md
3071a57289bbb979b1a7500634b403b8 *build/vignette.rds
0a9975b757ffac7d70d9588d95de789d *inst/doc/NNSvignette_Classification.R
33f881c453f07a5c02b9ed7d4dc234b5 *inst/doc/NNSvignette_Classification.Rmd
c1719e48ddfbba1cac4884d414297446 *inst/doc/NNSvignette_Classification.html
4b6901f4702e88a95e0ba0b87051d53d *inst/doc/NNSvignette_Clustering_and_Regression.R
03cc70cc899a3bdbc3c19c4ee93e4701 *inst/doc/NNSvignette_Clustering_and_Regression.Rmd
5e62f29c01d1c229e78d2203d4711c8c *inst/doc/NNSvignette_Clustering_and_Regression.html
3555b26b58aa02f73d1f98453d32d45d *inst/doc/NNSvignette_Correlation_and_Dependence.R
38ca39477265fb169a662b296d02ee9c *inst/doc/NNSvignette_Correlation_and_Dependence.Rmd
b7eccd3193094601eacf3c8fa394903e *inst/doc/NNSvignette_Correlation_and_Dependence.html
83dd6bc079f2e6c97e981cb3e9bddb86 *inst/doc/NNSvignette_Forecasting.R
69e6711c4c82256eb08c9f3e22c993ab *inst/doc/NNSvignette_Forecasting.Rmd
db67efeb00a4078e49a828898b536601 *inst/doc/NNSvignette_Forecasting.html
6802d1fdef166b6d9a5309a8147087e9 *inst/doc/NNSvignette_Partial_Moments.R
93d426a815de8fc11accb8688c5d2f36 *inst/doc/NNSvignette_Partial_Moments.Rmd
bed0304fa140672f87017d9b3e073296 *inst/doc/NNSvignette_Partial_Moments.html
93c4d04af5b3911bcaa3082f3ff3f5cb *man/Co.LPM.Rd
06073f3f7fc7f4b95939bad9d2713b1b *man/Co.UPM.Rd
4a79ceee58f02a3f6c056bef0ea21998 *man/D.LPM.Rd
acb16f71ca4cc555ab986d81198b8961 *man/D.UPM.Rd
9b3ad997de7266b751c992e87af7100c *man/LPM.Rd
6f5db185422f366c91d29732a38821a0 *man/LPM.VaR.Rd
8be7a727a874e640002f236f1119a43e *man/LPM.ratio.Rd
327efbde16989f0224455b4c04bf86c6 *man/NNS.ANOVA.Rd
fb4c2f104351281d91c371fe002eb1ca *man/NNS.ARMA.Rd
bcd6630b052164d20046e64ef7a431ae *man/NNS.ARMA.optim.Rd
616a94c3d0cb7205e7dd8d546d4e4664 *man/NNS.FSD.Rd
3e5b9d145fa9fae47757a2c05cf3682d *man/NNS.FSD.uni.Rd
47625bde5ed36f24c604512ca50171cc *man/NNS.PDF.Rd
e75fe6e3b71ec701f8c31df4712ce3b5 *man/NNS.SD.efficient.set.Rd
fcfe821768b7780d1014c8c9e7a11cff *man/NNS.SSD.Rd
3e036db46b4ebb3edc0eec8c352ce7cb *man/NNS.SSD.uni.Rd
9a7d5e54995398013682c183d5837d16 *man/NNS.TSD.Rd
692700482db92b8be892a0aaf90bd9f3 *man/NNS.TSD.uni.Rd
4d83fdf8ba2b1827cbe5baf424ab3f50 *man/NNS.VAR.Rd
4f895147581d555fedb08585793f3bee *man/NNS.boost.Rd
e2d6a1c68ec01e0a3cbad6f7fb800d25 *man/NNS.caus.Rd
2a33fdd72c04b7bc61b319a4b5a8427f *man/NNS.cor.Rd
8a66b6b3d9dd7eb24f5d02875009e141 *man/NNS.dep.Rd
a6bbe3cb55cbc40c0a9c85dcc3e2ec8f *man/NNS.dep.base.Rd
0677fbb49bbdeb7135dab6af9b694f36 *man/NNS.dep.hd.Rd
b0d331e319ec335f269fe59d841ab3ca *man/NNS.diff.Rd
deeaa1b79e36ef9a52fed58fc5d6e4dd *man/NNS.distance.Rd
e26e78a14f10fb1c7412a5100c6f8fe6 *man/NNS.norm.Rd
f82e1dc5c300708b5a05d613aef43ad5 *man/NNS.part.Rd
d236ddd9a5a7ea00583e92f66bd2186a *man/NNS.reg.Rd
799e309417692372a657b2af3e730961 *man/NNS.seas.Rd
75d8fee3a3da26040f42904a3c36f0b2 *man/NNS.stack.Rd
0665cdcbf6847a237a89f25194f48b65 *man/NNS.term.matrix.Rd
0b428e0ab24d217a51e0d4109ee59a1e *man/PM.matrix.Rd
ef7dcc7436ba881df60094ddde3d349a *man/UPM.Rd
facb1260d1c17350733ef60cb52509dd *man/UPM.VaR.Rd
999fa63707b889011e5b271f1481542a *man/UPM.ratio.Rd
4b47582d36fd631d1c0e39b4d22ab09e *man/dy.d_.Rd
11982d32d3ee945bd4c4a8766fbc2c11 *man/dy.dx.Rd
33f881c453f07a5c02b9ed7d4dc234b5 *vignettes/NNSvignette_Classification.Rmd
03cc70cc899a3bdbc3c19c4ee93e4701 *vignettes/NNSvignette_Clustering_and_Regression.Rmd
38ca39477265fb169a662b296d02ee9c *vignettes/NNSvignette_Correlation_and_Dependence.Rmd
69e6711c4c82256eb08c9f3e22c993ab *vignettes/NNSvignette_Forecasting.Rmd
93d426a815de8fc11accb8688c5d2f36 *vignettes/NNSvignette_Partial_Moments.Rmd
