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version 0.1.5
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AndreuSanso authored and cran-robot committed Aug 16, 2023
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34 changes: 34 additions & 0 deletions DESCRIPTION
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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
37 changes: 37 additions & 0 deletions MD5
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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
16 changes: 16 additions & 0 deletions NAMESPACE
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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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