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Package: micss | ||
Type: Package | ||
Title: Modified Iterative Cumulative Sum of Squares Algorithm | ||
Version: 0.1.5 | ||
Authors@R: c(person("Josep Lluís", "Carrion-i-Silvestre", role = "aut", email = "carrion@ub.edu"), | ||
person("Andreu", "Sansó", role = c("aut","cre"), email = "andreu.sanso@uib.eu")) | ||
Maintainer: Andreu Sansó <andreu.sanso@uib.eu> | ||
Description: Companion package of Carrion-i-Silvestre & Sansó (2023): | ||
"Generalized Extreme Value Approximation to the CUMSUMQ Test for Constant | ||
Unconditional Variance in Heavy-Tailed Time Series". It implements the Modified | ||
Iterative Cumulative Sum of Squares Algorithm, which is an extension of | ||
the Iterative Cumulative Sum of Squares (ICSS) Algorithm of Inclan and Tiao (1994), and it checks for changes in the | ||
unconditional variance of a time series controlling for the tail index of | ||
the underlying distribution. The fourth order moment is estimated non-parametrically | ||
to avoid the size problems when the innovations are non-Gaussian (see, Sansó et al., 2004). | ||
Critical values and p-values are generated using a Generalized Extreme Value distribution approach. | ||
References | ||
Carrion-i-Silvestre J.J & Sansó A (2023) <https://www.ub.edu/irea/working_papers/2023/202309.pdf>. | ||
Inclan C & Tiao G.C (1994) <doi:10.1080/01621459.1994.10476824>, | ||
Sansó A & Aragó V & Carrion-i-Silvestre J.L (2004) <https://dspace.uib.es/xmlui/bitstream/handle/11201/152078/524035.pdf>. | ||
License: GPL-2 | ||
Depends: R (>= 3.5.0), dplyr | ||
Imports: methods | ||
Encoding: UTF-8 | ||
LazyData: true | ||
RoxygenNote: 7.2.3 | ||
Suggests: testthat (>= 3.0.0) | ||
Config/testthat/edition: 3 | ||
NeedsCompilation: no | ||
Packaged: 2023-08-16 08:02:57 UTC; HP | ||
Author: Josep Lluís Carrion-i-Silvestre [aut], | ||
Andreu Sansó [aut, cre] | ||
Repository: CRAN | ||
Date/Publication: 2023-08-16 09:52:37 UTC |
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673b3c8a67541f9617457016aeb20bff *DESCRIPTION | ||
f130133c57d0b93385b0022593455246 *NAMESPACE | ||
e5291624e88a504f62fb9e9f84c926c9 *R/micss.R | ||
4b810a612f766a60b5a289f44ff26509 *data/logReturnsRandDollar.RData | ||
c726ee64c2d203a8615a66c777926925 *inst/CITATION | ||
9b0b8e6d099cebe227984ee525b4e660 *man/alpha_hill.Rd | ||
fc11d54c474da902418b1d1e184e272e *man/alpha_nr.Rd | ||
688ac003f4c2ec326b5b428be99344e0 *man/cv.kappa.Rd | ||
03b13b3c7a579b4baaa513e9047ff838 *man/data.Rd | ||
2c6352de39141240ec16264010fa21ad *man/estimate.alpha.Rd | ||
935873d3c01a80940d4e57515c311fcd *man/icss.Rd | ||
98696894d2b5c8f6b523882dc5d098ea *man/kappa_test.Rd | ||
a9702410ec9867075d6c4a1576bc7f8c *man/logReturnsRandDollar.Rd | ||
7dc5572478c8ef910c2f2c30d4e355c1 *man/lrv.spc.bartlett.Rd | ||
22bea798ed69a379da9027d9c034032f *man/micss.Rd | ||
749ca1ee4fceef5cb510fd41c9274e7e *man/p.val.kappa.Rd | ||
caa2aee3ca6222538262d0f362744ed0 *man/plot.icss.Rd | ||
a64c502c9700caae4cb56dc3932340b7 *man/print.icss.Rd | ||
fa55a70b59b8e0e292650a92e6ed7653 *man/print.micss.Rd | ||
18886e774722e71f1414c60b80e9fb1a *man/sr_loc.Rd | ||
11dee8bd683a92f567fc0fbe64f28698 *man/sr_scale.Rd | ||
99b8f8dcf304f7e245d98341219d3839 *man/sr_shape.Rd | ||
44132e98a91e87c5359033203cea1eaa *man/step2a.Rd | ||
1bc79341985f8cffbfa4cda0842936e9 *man/step2b.Rd | ||
f9e06fd8b077cb7dcfb86b793fb514ee *man/step2c.Rd | ||
0d2d03d5ebccac67b6f6f661704df1d3 *man/step3.Rd | ||
b9306edc97eda27940890a8b53b32b62 *man/steps1.to.2b.Rd | ||
a20ff8871083adf4cef329ed54853759 *man/taula.icss.Rd | ||
35c380ad2887136b76c2249b502a64cd *man/taula.micss.Rd | ||
67345034cc26c2febc0b29bdea43efd2 *man/var.est.icss.Rd | ||
a615e6a4b9c44e8d8200e86b117cf3c0 *man/whitening.Rd | ||
b1cf4f8c582ff4936415390c175bee57 *tests/testthat.R | ||
a4c1e7f1356a234f53bcbc215191843f *tests/testthat/test-cv.kappa.R | ||
13421b126bfb41098dc0a43105e2c5a9 *tests/testthat/test-icss.R | ||
4d31a10b7e1ef752276ec95461ea4fd4 *tests/testthat/test-kappa_test.R | ||
51f8a1f861dab11a834e8901be4b7c4a *tests/testthat/test-micss.R | ||
329c7bcfa99984e5f638f9c6a7ad34a2 *tests/testthat/test-p.val.kappa.R |
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importFrom("graphics", "lines") | ||
importFrom("stats", "coef", "lm", "na.omit", "qnorm", "pnorm", "rnorm", | ||
"quantile", "resid", "var") | ||
importFrom("dplyr","lag") | ||
importFrom("methods", "is") | ||
export("alpha_hill") | ||
export("alpha_nr") | ||
export("kappa_test") | ||
export("whitening") | ||
export("lrv.spc.bartlett") | ||
export("icss") | ||
export("micss") | ||
export("plot.icss") | ||
export("print.icss") | ||
export("print.micss") | ||
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