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wwntests
View on CRAN: Click
here
Download and install wwntests package within the R console
Install from CRAN:
install.packages("wwntests")
Install from Github:
library("remotes")
install_github("cran/wwntests")
Install by package version:
library("remotes")
install_version("wwntests", "1.1.0")
Attach the package and use:
library("wwntests")
Maintained by
Mihyun Kim
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.wwntests . https://github.com/veritasmih/wwntests/issues . wwntests results . wwntests.pdf . wwntests . wwntests_1.1.0.tar.gz . wwntests_1.1.0.zip . wwntests_1.1.0.zip . wwntests_1.1.0.zip . wwntests_1.1.0.tgz . wwntests_1.1.0.tgz . wwntests_1.1.0.tgz . wwntests_1.1.0.tgz . wwntests_1.1.0.tgz . wwntests_1.1.0.tgz . wwntests archive . https://CRAN.R-project.org/package=wwntests .
First Published: 2019-06-19
Latest Update: 2023-12-01
Description:
Provides a collection of white noise hypothesis tests for functional time series and related visualizations. These include tests based on the norms of autocovariance operators that are built under both strong and weak white noise assumptions. Additionally, tests based on the spectral density operator and on principal component dimensional reduction are included, which are built under strong white noise assumptions. Also, this package provides goodness-of-fit tests for functional autoregressive of order 1 models. These methods are described in Kokoszka et al. (2017) <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019) <doi:10.1016/j.ecosta.2019.01.003>, Gabrys and Kokoszka (2007) <doi:10.1198/016214507000001111>, and Kim et al. (2023) <doi:10.1214/23-SS143> respectively.
How to cite:
Mihyun Kim (2019). wwntests: Hypothesis Tests for Functional Time Series. R package version 1.1.0, https://cran.r-project.org/web/packages/wwntests. Accessed 02 Apr. 2025.
Previous versions and publish date:
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Complete documentation for wwntests
Functions, R codes and Examples using
the wwntests R package
Some associated functions: B_h_bound . B_iid_bound . GOF_far . Q_WS_hyp_test . autocorrelation_coeff_h . autocorrelation_coeff_plot . autocov_approx_h . bartlett_kernel . block_bootsrap . brown_motion . center . covariance_diag_store . covariance_i_j . covariance_i_j_vec . daniell_kernel . diagonal_autocov_approx_0 . diagonal_covariance_i . far_1_S . fgarch_1_1 . fport_test . iid_covariance . iid_covariance_vec . independence_test . multi_lag_test . parzen_kernel . scalar_covariance_i_j . scalar_covariance_i_j_vec . single_lag_test . spectral_test .
Some associated R codes: GOF_far.R . autocorrelation_bound_functions.R . block_bootstrap.R . covariance_functions.R . data_simulations.R . helper_functions.R . hypothesis_quantiles.R . imhof_test.R . main_tests.R . master_functions.R . spectral_kernels.R . spectral_test_statistic.R . test_statistics.R . welch_satterthwaite.R . Full wwntests package functions and examples
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