3ad0cacc77ffa54b11e73da64e936cec *DESCRIPTION
a2e721207aa368c257442bfc72c19bb1 *NAMESPACE
6bad8d4655908214b581113d7df2a8c1 *R/ANOVA.R
6aa1507786c614dd85c28726bc3d81d6 *R/ARMA.R
58a2dc1d1d973de41cae981aebd82ced *R/ARMA_optim.R
a104c563129712c6db338ee53f91995e *R/Binary_ANOVA.R
0afbde3feada2337eec32bc7569ee287 *R/Boost.R
83f199385584b96108d406fa38eeb678 *R/Causal_matrix.R
4097c56a94bc76f5cc71b097fa2454e0 *R/Causation.R
6258d486ca6b42003f88c3857a1353d1 *R/Copula.R
ea737c34cb645765788c45f2b8bfafbf *R/Dependence.R
4cb59e4238125fa6e68f78dd8f3b0033 *R/Dependence_matrix.R
698bde6b5e3195bb3018464f6258985c *R/FSD.R
994eb3946a845a304431f877391c7f86 *R/Internal_Functions.R
6b0326e2a945a0e8829ee664be1f1d6f *R/LPM_UPM_VaR.R
e2925e07b8311d102330899ec98f0841 *R/Multivariate_Regression.R
bbb0747f95c3dd4b360506ab8bb93949 *R/NNS_Distance.R
fd81a824b53c2177f18c6b42e65a3324 *R/NNS_VAR.R
9c397647f8f87aa95358515b4fef6a82 *R/NNS_meboot.R
bc0458951f60992a7764c8b93868a979 *R/NNS_term_matrix.R
bf431a37ec405b0daeb42f853102654e *R/Normalization.R
b0980b22863433d2889dff152c57b0ff *R/Numerical_Differentiation.R
329ce9a69e966713f4eb0cab06241ff4 *R/Partial_Moments.R
0e3668acd73f533de7c4f5f9720f74d3 *R/Partition_Map.R
27feadc613bf0c9436dba3f2694749d2 *R/Regression.R
bc20fa9aa3d50d7ad96bf89ab3d72386 *R/SD_Efficient_Set.R
67771152602366fbf4f1ecf2913f15be *R/SSD.R
8e49032735ba29529cb1326e29e38b9d *R/Seasonality_Test.R
6dd0b952a5618565cc7945c11461f41e *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
819cadd27e943f309ba2da71c19156ae *R/gvload.R
9e9eb4169d72e7c1a44496b48634b8b3 *README.md
45af44092de05036de3f05dbb32dce07 *build/vignette.rds
d053ad5416f348b77225cb276c48b138 *inst/doc/NNSvignette_Classification.R
92c198f4e3cfa2b00afcc5ca95ce9316 *inst/doc/NNSvignette_Classification.Rmd
a3bb35e6c20969ae36131b9be09980be *inst/doc/NNSvignette_Classification.html
cc64e8e815c060d06dd17ce762dac39c *inst/doc/NNSvignette_Clustering_and_Regression.R
0b03ae31a6c1bcce2b1f504bfeffdaa8 *inst/doc/NNSvignette_Clustering_and_Regression.Rmd
70cdd35566e51284cd0014b9b7779d6a *inst/doc/NNSvignette_Clustering_and_Regression.html
0faaf8b73e6f63ab83b597fb4eff4544 *inst/doc/NNSvignette_Correlation_and_Dependence.R
eaab3d837cdf1433f60f51ef329259cd *inst/doc/NNSvignette_Correlation_and_Dependence.Rmd
3bb69d2a833c9cbcd9d6189afc2ed498 *inst/doc/NNSvignette_Correlation_and_Dependence.html
d09e845c1a55d906f46d8f40026be987 *inst/doc/NNSvignette_Forecasting.R
4a89cc94162f3df2a2c9d50576f203b6 *inst/doc/NNSvignette_Forecasting.Rmd
d6c1ccd0b193898b0338ef0c35079a37 *inst/doc/NNSvignette_Forecasting.html
82705171340cc54e585e84c86a9c7608 *inst/doc/NNSvignette_Partial_Moments.R
2d887bc733ec03fb98632a8e1de24f57 *inst/doc/NNSvignette_Partial_Moments.Rmd
5c708f7d82b6490711e1c31e71022666 *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
e3cf73e0abb05956a97e6595817c9742 *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
7afa5d26a5a05eefc2d1ad1aed70a1a6 *man/NNS.VAR.Rd
34c5ddcbc6f84c9ffca8f532146e6e74 *man/NNS.boost.Rd
dd5d0d1ccf828695e77e15e99bc0ecfd *man/NNS.caus.Rd
6f50bf9e023518f1aa60a77a3f7e20a5 *man/NNS.copula.Rd
68c6ba87029dabce1949c4a1b0fd4c5f *man/NNS.dep.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
d0023988ae25529ec9bbf4c518a1f32e *man/NNS.stack.Rd
a86ed2ba84ef6e76b1cb13174590391b *man/NNS.term.matrix.Rd
90fb87bda39c5f0f1543f4c870c56922 *man/PM.matrix.Rd
74534e95374ec43a68f3228b962c2ead *man/UPM.Rd
682fca218b0e5d65e3543822058cf594 *man/UPM.VaR.Rd
12dad6ed230d5234940f7ca297475baf *man/UPM.ratio.Rd
023916d09f433f0fbbe7d833324ea2b8 *man/dy.d_.Rd
900bf3c5d582513b23cb6c087ef3f3f2 *man/dy.dx.Rd
92c198f4e3cfa2b00afcc5ca95ce9316 *vignettes/NNSvignette_Classification.Rmd
0b03ae31a6c1bcce2b1f504bfeffdaa8 *vignettes/NNSvignette_Clustering_and_Regression.Rmd
eaab3d837cdf1433f60f51ef329259cd *vignettes/NNSvignette_Correlation_and_Dependence.Rmd
4a89cc94162f3df2a2c9d50576f203b6 *vignettes/NNSvignette_Forecasting.Rmd
2d887bc733ec03fb98632a8e1de24f57 *vignettes/NNSvignette_Partial_Moments.Rmd
