R: Multiscale Inference for Nonparametric Time Trend(s)

# Multiscale Inference for Nonparametric Time Trend(s)

## Documentation for package ‘MSinference’ version 0.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

MSinference-package | Multiscale Inference for Nonparametric Time Trend(s)
compute_minimal_intervals | Computes the set of minimal intervals as described in Duembgen (2002)
compute_quantiles | Computes quantiles of the gaussian multiscale statistics.
compute_quantiles_2 | Computes quantiles of the gaussian multiscale statistics.
compute_statistics | Calculates the value of the test statistics both for single time series analysis and multiple time series analysis.
construct_grid | Computes the location-bandwidth grid for the multiscale test.
construct_weekly_grid | Computes the location-bandwidth weekly grid for the multiscale test.
covid | Number of daily new cases of infections of COVID-19 per country.
estimate_lrv | Computes estimator of the long-run variance of the error terms.
MSinference | Multiscale Inference for Nonparametric Time Trend(s)
multiscale_test | Carries out the multiscale test given that the values the estimatates of long-run variance have already been computed.
plot_sizer_map | Plots SiZer map from the test results of the multiscale testing procedure.
select_order | Calculates different information criterions for a single time series or multiple time series with AR(p) errors based on the long-run variance estimator(s) for a range of tuning parameters and different orders p.
temperature | Hadley Centre Central England Temperature (HadCET) dataset, Monthly Mean Central England Temperature (Degrees C)