f5392c2c859ba24c83860c8824f9aacf *DESCRIPTION
6c96868dcd15089c3ace1a6e4b8ad3cb *NAMESPACE
9ef8be6441db1080f77f8407d977c768 *R/ANOVA.R
216edbc0828393a1a48b75ac93b0bc80 *R/ARMA.R
e71b66c41c3ceda034b42c0092c0377a *R/ARMA_optim.R
7cfa71cbb2430c58a2c36f8c98a6c533 *R/Binary_ANOVA.R
fd121fa6e8e3472e03d64a541c87960e *R/Boost.R
f617c9b050308bfef9f798c8c1c816d0 *R/Causal_matrix.R
40ab3f869731ff3215b7c7b99e7c3f05 *R/Causation.R
38b6a7036bc375cd3a590d9252d6a94c *R/Co_PM_dep.R
4d3c9930cad9087060cc67cb163e83ad *R/Correlation.R
870179fa68b577a41a0f6f814c868b2a *R/Dependence.R
17c483e995cc9d223314ffe96952406d *R/Dependence_base.R
d8d7937adafe4221dbe3de01589066a6 *R/Dependence_matrix.R
534991575adb8de0fe251b7632fec2d8 *R/FSD.R
8fa96ae89fdf4d1707d54bf82bc4e269 *R/Internal_Functions.R
68fd26307174ebd756e9e8aa8e3219de *R/LPM_UPM_VaR.R
d9153aa8255ee31e679cfc286dd76c40 *R/Multivariate_Regression.R
c7aa370373fb23e0c73a1badf55bda36 *R/NNS_Distance.R
4f0dee7c4e4190bcf3306b3397145be8 *R/NNS_term_matrix.R
b5221ca4a44a940b1eb73dcde699d366 *R/Normalization.R
13920019566c7e4450a7410ac321c144 *R/Numerical_Differentiation.R
0c4659e4a6521196f47c20b24742ea66 *R/Partial_Moments.R
0b7ce4fe7f10d36f0932d057a8087899 *R/Partition_Map.R
25ddca6b97088ec71c651ddd3bfc0bde *R/Regression.R
f75a2dc2396c30a99a836d8802361ef4 *R/SD_Efficient_Set.R
047eea65f31acf926506dd432689bed7 *R/SSD.R
f1dee8d5a974ff8972fb3b658e366a3d *R/Seasonality_Test.R
6263c1059466438be9556de3d0bc9494 *R/Stack.R
63b3b547d771e9f5e04c84bd669dde8b *R/TSD.R
48b7ef499b50e426d9680ea50322d229 *R/Uni_Causation.R
c925c95f802e940eefeccfa4beabcbf8 *R/Uni_SD_Routines.R
03273bec32c1b199f26fe2a774929ddf *R/dy_d_wrt.R
95c418ff162a3c8ac469d01def0b1b08 *R/dy_dx.R
7a7897dc4262c57f5e2fec61d0f4835b *R/gvload.R
21153b878c4e44d8ff14ed0981c17673 *build/vignette.rds
9577495637d3ce31fe4729f96989709e *inst/doc/NNSvignette_Classification.R
33d28d32ff8ba3d2bc9222da0455aaaf *inst/doc/NNSvignette_Classification.Rmd
0e69ff35f52f1b9b564795f5ee33816c *inst/doc/NNSvignette_Classification.html
31623bf97aaf3fc0fdb270285d8731f9 *inst/doc/NNSvignette_Clustering_and_Regression.R
bc49f903b4c202adbe7c3d0c32be62df *inst/doc/NNSvignette_Clustering_and_Regression.Rmd
0a6f57bf2a38cc159267c26c3c8ce739 *inst/doc/NNSvignette_Clustering_and_Regression.html
1ae99c54fd2bf864ea252f7283738155 *inst/doc/NNSvignette_Correlation_and_Dependence.R
8b9e9c5171897f399ef1c98a0514472c *inst/doc/NNSvignette_Correlation_and_Dependence.Rmd
433994aaf1fc6335868221d2e48ce1f6 *inst/doc/NNSvignette_Correlation_and_Dependence.html
a6d42408ad79958c1c7e398e86887949 *inst/doc/NNSvignette_Forecasting.R
46c21573e2432a4b540d5b823e84e666 *inst/doc/NNSvignette_Forecasting.Rmd
1f57b48e6aca50af056fb73487c90200 *inst/doc/NNSvignette_Forecasting.html
39969da842a1e93d11a944ed6f912d2a *inst/doc/NNSvignette_Partial_Moments.R
95ae4b7d4c761a3c833b13c0d0e502c8 *inst/doc/NNSvignette_Partial_Moments.Rmd
752fab5f2973cef9571544b6139c11e3 *inst/doc/NNSvignette_Partial_Moments.html
dfe749e4689206089bfda14bb95eac1c *man/Co.LPM.Rd
cdbfceab20bbfb582c4f6c4d24b8951d *man/Co.UPM.Rd
c7cf6e7fde2cdc33d485bc17c5d1041f *man/D.LPM.Rd
58f5685cbc6b7975eeee1cd09d196bcc *man/D.UPM.Rd
784abd69ac67a09dde8c4bd57ed72e78 *man/LPM.Rd
89a06c4256e1d2ef2023c457288906fa *man/LPM.VaR.Rd
780c2a74b54d51bab9b0c54e31fc964b *man/LPM.ratio.Rd
ad9d0c3ff0c51b0c4506ded778b67eab *man/NNS.ANOVA.Rd
870861782270d9521c9e83ef695b37c9 *man/NNS.ARMA.Rd
f792fa2a450031cabd73ffeb6487f11e *man/NNS.ARMA.optim.Rd
616a94c3d0cb7205e7dd8d546d4e4664 *man/NNS.FSD.Rd
3e5b9d145fa9fae47757a2c05cf3682d *man/NNS.FSD.uni.Rd
bf353727e1c4857efdfa79a1855543fe *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
101bf6e3f2e48fabeccb3324f49084b2 *man/NNS.boost.Rd
9de88897260dc6dc25bb77474f7be1a8 *man/NNS.caus.Rd
92d7239dec26abfb4fbdd3be9ab2847c *man/NNS.cor.Rd
73049f951a0aff247d9a14dc41d2be19 *man/NNS.dep.Rd
a6bbe3cb55cbc40c0a9c85dcc3e2ec8f *man/NNS.dep.base.Rd
0677fbb49bbdeb7135dab6af9b694f36 *man/NNS.dep.hd.Rd
ee616eb4c8c9d1dd62e4b7553a7bf946 *man/NNS.diff.Rd
2899db716250808fcf38bc18911bc36b *man/NNS.distance.Rd
6aebfe691c8e495226b07e60c003b69f *man/NNS.norm.Rd
a3f28332940d20e9c119884bc468fca9 *man/NNS.part.Rd
9a330a8317f98870adb31a1185e66bd7 *man/NNS.reg.Rd
18e8b72e3a580f977c6cb8bf57289efc *man/NNS.seas.Rd
1c257e9b9d485d3c3a705dc9ef434596 *man/NNS.stack.Rd
f7ee0a30ab6f70700888857245e37e75 *man/NNS.term.matrix.Rd
d1c047ab1cf3e3fe167071b9d084c621 *man/PM.matrix.Rd
3d5ade948eaff787ac6d41b7fe0092d6 *man/UPM.Rd
a753fdbedd34b826e401246048cdff09 *man/UPM.VaR.Rd
421c730fc513bdb58559f4a8e55559c3 *man/UPM.ratio.Rd
61ec7181b8d98455e1d8ebcf479c6e54 *man/dy.d_.Rd
57e7bfe4dc67554d5c941282644bc0b6 *man/dy.dx.Rd
33d28d32ff8ba3d2bc9222da0455aaaf *vignettes/NNSvignette_Classification.Rmd
bc49f903b4c202adbe7c3d0c32be62df *vignettes/NNSvignette_Clustering_and_Regression.Rmd
8b9e9c5171897f399ef1c98a0514472c *vignettes/NNSvignette_Correlation_and_Dependence.Rmd
46c21573e2432a4b540d5b823e84e666 *vignettes/NNSvignette_Forecasting.Rmd
95ae4b7d4c761a3c833b13c0d0e502c8 *vignettes/NNSvignette_Partial_Moments.Rmd
