0c235223b241582827486d30fa4dbf3e *DESCRIPTION
1baf116b533548b5c24651fe2758506e *NAMESPACE
df16303a26ca28b3cb9bcb57ffeaad49 *R/ANOVA.R
b3d369bf3aee3f97841e5b39b00e93b2 *R/ARMA.R
73207040c686869c13503365f656795f *R/ARMA_optim.R
b693540abf54f70feb33127305049e01 *R/Binary_ANOVA.R
0222534995a06bf83843762e900d5596 *R/Boost.R
a8668ff2a283147ef066ee1fe6fcbe59 *R/Causal_matrix.R
dbdcde4baebdd5d76ac9835910ba396d *R/Causation.R
ef79dacf441175fed9a8f3aa6e7e44e0 *R/Co_PM_dep.R
c9f924bf6ae192de8d059e221ac55693 *R/Correlation.R
1a577ef9d254f6904fc5c3bff14d3f77 *R/Dependence.R
9fcfe754803d45e46e0555114dcd0f02 *R/Dependence_base.R
ab16fe38be81a76f88dc16c9ec1059e6 *R/Dependence_matrix.R
534991575adb8de0fe251b7632fec2d8 *R/FSD.R
fd527645bb2beced38637cada42e7f74 *R/Internal_Functions.R
b4100e2568ca297d90be2cc2967454c4 *R/LPM_UPM_VaR.R
e8f20952c31bfe78c09ad35be1c047bb *R/Multivariate_Regression.R
7b1e68ea6f5eeaf06d0465d8586c2ea6 *R/NNS_Distance.R
a307c32c514948c643dd379a7e3e2317 *R/NNS_VAR.R
f0e7c4e26d07c15197e9babbe47a3b6b *R/NNS_term_matrix.R
4fada729dbd4f85f59e7f4ee12b134c6 *R/Normalization.R
41ad37caf910103f7f3c03ee078216b3 *R/Numerical_Differentiation.R
f3dd43a43d45dc75a03f0d09f3f11ae5 *R/Partial_Moments.R
f07b271b540d59f66e0946bd56f79ad3 *R/Partition_Map.R
7c20e0e46243fb57227d617fdf537585 *R/Regression.R
f75a2dc2396c30a99a836d8802361ef4 *R/SD_Efficient_Set.R
047eea65f31acf926506dd432689bed7 *R/SSD.R
3384f41b281d32286b1a47b3d2b0c1af *R/Seasonality_Test.R
5c15d02d42d3a5471425c94c86da9704 *R/Stack.R
63b3b547d771e9f5e04c84bd669dde8b *R/TSD.R
a7c2ea32dff979f0b3ca2708cfa7417f *R/Uni_Causation.R
c925c95f802e940eefeccfa4beabcbf8 *R/Uni_SD_Routines.R
5b1aa4bc9a51eb28b2e29826d008146d *R/dy_d_wrt.R
45715566843e770331544aec30a96276 *R/dy_dx.R
d2d2003974523f2cc4584d6e5795a73b *R/gvload.R
0ff687ebf640e0df13931457671d1feb *README.md
dcfa538b7b3ad4772698a6ebe0fb8e49 *build/vignette.rds
e44fa3ca555cec6204eb66dcdfe7dd3f *inst/doc/NNSvignette_Classification.R
dc2213a3c49921c153d4980c35b9b7fd *inst/doc/NNSvignette_Classification.Rmd
9a8a6c7a405a5daec297b7ef261acac3 *inst/doc/NNSvignette_Classification.html
4ed04ae28ba15cff89756013ee2181b2 *inst/doc/NNSvignette_Clustering_and_Regression.R
7fe8f74ca1b034f1ae79a66bee6f76f1 *inst/doc/NNSvignette_Clustering_and_Regression.Rmd
fa7c74824ecfa7c92a90fc5aef17aba2 *inst/doc/NNSvignette_Clustering_and_Regression.html
ead3a927cfe3fd8be646ed7c2e9fccc3 *inst/doc/NNSvignette_Correlation_and_Dependence.R
2de6cdc604224ae947c04c525a4b531e *inst/doc/NNSvignette_Correlation_and_Dependence.Rmd
41c1ed8d9d1e8c65cf1f2f4e58446570 *inst/doc/NNSvignette_Correlation_and_Dependence.html
3db93c1e10bda33801157797fe7b6cda *inst/doc/NNSvignette_Forecasting.R
f285c62e023804fd176352c469133851 *inst/doc/NNSvignette_Forecasting.Rmd
f950b8afddb08bc29c8e398303fefdbf *inst/doc/NNSvignette_Forecasting.html
24b2d13d7063037040ceef5403ca864f *inst/doc/NNSvignette_Partial_Moments.R
11dc560ea10b28c52e2b837ab0e1f858 *inst/doc/NNSvignette_Partial_Moments.Rmd
6e3a12b54febc4dcd1da55406d6d57a5 *inst/doc/NNSvignette_Partial_Moments.html
26b5b08eccf85ca983902aece00a3375 *man/Co.LPM.Rd
9616e751292de2c81be51feaba119112 *man/Co.UPM.Rd
c4e5843068e76c5a9f94b6c30ccc2df8 *man/D.LPM.Rd
117ef8f2bc3dc4c9eea742bef0324e5f *man/D.UPM.Rd
e5041db498fabb0e4715ca058c33a87c *man/LPM.Rd
07eb182afcac3977409c0450f5a94bb6 *man/LPM.VaR.Rd
7787bcf819806c6f6e56a80f08beefdc *man/LPM.ratio.Rd
ef128ba486b855608f0e6d7710257bc0 *man/NNS.ANOVA.Rd
eab092ba0d87fed6721d15cfff66cbeb *man/NNS.ARMA.Rd
4a24ed23927ca0d7bcfb470d5e78e8cf *man/NNS.ARMA.optim.Rd
3eb4abd46d88b9f2f377ad7467962a70 *man/NNS.CDF.Rd
89f7028578b99de32276f093d94d519b *man/NNS.FSD.Rd
54cd89e66f5d031aed340ef688623350 *man/NNS.FSD.uni.Rd
de5dbe08e72c3739f0a9680aadffc27f *man/NNS.PDF.Rd
dafdbee9387b45ffce2c1f51e39dea8d *man/NNS.SD.efficient.set.Rd
bbda9e3aedd5636efdb85bd157ea5eec *man/NNS.SSD.Rd
a681d67841f70950fb9e16f61daa1864 *man/NNS.SSD.uni.Rd
7697ad57bcf3598d7816e0a73ee39c0f *man/NNS.TSD.Rd
c85b2b4a297547d33eee91a1c3d59c03 *man/NNS.TSD.uni.Rd
93e5b7ae4c48634ace5da4cb6430756c *man/NNS.VAR.Rd
2ad0e6f0b347eef221bae4ffb31b393e *man/NNS.boost.Rd
2ec5176a0a095b7c80dd1b46cb6be4ce *man/NNS.caus.Rd
d585f7d957a5cb5c9b510e9e666b97dd *man/NNS.cor.Rd
e0f50247087f06759a32cb72b1211dc9 *man/NNS.dep.Rd
1936b81cb5c0f4568b69efd17fdb07e6 *man/NNS.dep.base.Rd
82cb5c6a2c4d7e63766542dd0dd9f594 *man/NNS.dep.hd.Rd
9f0c5e214ac27c397d229d6b1c990bca *man/NNS.diff.Rd
731c79cddf1403c365e94446e998aafe *man/NNS.distance.Rd
86ffcd3b2fc9602f0378c4a30af64704 *man/NNS.norm.Rd
56a410e5439960104eac17a58748d66c *man/NNS.part.Rd
d3a4f9e01d52ecaac67c0b3a9b15dc17 *man/NNS.reg.Rd
2724aeb9779965c15114457c7b82b69c *man/NNS.seas.Rd
c18a4f326baef017a1e36c6025b5bf08 *man/NNS.stack.Rd
07b43455c6b1e2a0daa7a9eb3ef178aa *man/NNS.term.matrix.Rd
afcd23e8a15a01344647402c412c53bd *man/PM.matrix.Rd
272ef8f6cd79c3127c0cbd7cd82b115e *man/UPM.Rd
8e6349f94978a6d0e012ac814913dfe2 *man/UPM.VaR.Rd
870e9bd94ae00fc9faef7e988e270b0b *man/UPM.ratio.Rd
8250de8bc3b670f2903b15c2b0418d60 *man/dy.d_.Rd
2afd70d610b4cae3abc15cd8ee5d9c84 *man/dy.dx.Rd
dc2213a3c49921c153d4980c35b9b7fd *vignettes/NNSvignette_Classification.Rmd
7fe8f74ca1b034f1ae79a66bee6f76f1 *vignettes/NNSvignette_Clustering_and_Regression.Rmd
2de6cdc604224ae947c04c525a4b531e *vignettes/NNSvignette_Correlation_and_Dependence.Rmd
f285c62e023804fd176352c469133851 *vignettes/NNSvignette_Forecasting.Rmd
11dc560ea10b28c52e2b837ab0e1f858 *vignettes/NNSvignette_Partial_Moments.Rmd
