nortsTest1.1.3 package

Assessing Normality of Stationary Process

elbouch.statistic

Computes El Bouch, et al.'s z statistic.

elbouch.test

Computes El Bouch, et al.'s test for normality of multivariate depende...

epps_bootstrap.test

The Sieve Bootstrap Epps and Pulley test for normality.

epps.statistic

Estimates the Epps statistic.

epps.test

The asymptotic Epps and Pulley Test for normality.

ggacf

acf plot.

gghist

Histogram with optional normal density functions.

ggnorm

qqplot with normal qqline

ggpacf

pacf plot.

jb_bootstrap.test

The Sieve Bootstrap Jarque-Bera test for normality.

Lm.test

The Lagrange Multiplier test for arch effect.

lobato_bootstrap.test

The Sieve Bootstrap Lobato and Velasco's Test for normality.

lobato.statistic

Computes the Lobato and Velasco statistic.

lobato.test

The asymptotic Lobato and Velasco's Test for normality.

seasonal.test

The Seasonal unit root tests function

shapiro_bootstrap.test

The Sieve Bootstrap Shapiro test for normality.

sieve.bootstrap

Generates a sieve bootstrap sample.

uroot.test

The Unit root tests function.

vavra.sample

Vávra test's sieve Bootstrap sample for Anderson Darling statistic

vavra.test

The Psaradakis and Vávra test for normality.

arch.test

The ARCH effect test function.

autoplot.ts

Automatically create a ggplot for time series objects.

check_plot

Generic function for a visual check of residuals in time series models...

check_residuals

Generic functions for checking residuals in time series models

cvm_bootstrap.test

The Sieve Bootstrap Cramer Von Mises test for normality.

normal.test

The normality test for stationary process

nortsTest-package

Assessing Normality of a Stationary Process

random.projection

Generate a random projection.

reexports

Objects exported from other packages

rp.sample

Generates a test statistics sample of random projections.

rp.test

The k random projections test for normality.

Despite that several tests for normality in stationary processes have been proposed in the literature, consistent implementations of these tests in programming languages are limited. Seven normality test are implemented. The asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and the random projections tests for univariate stationary process. Some other diagnostics such as, unit root test for stationarity, seasonal tests for seasonality, and arch effect test for volatility; are also performed. Additionally, the El bouch test performs normality tests for bivariate time series. The package also offers residual diagnostic for linear time series models developed in several packages.

  • Maintainer: Asael Alonzo Matamoros
  • License: GPL-2
  • Last published: 2025-11-09