Assessing Normality of Stationary Process

---

Documentation for package ‘nortsTest’ version 1.1.2

• DESCRIPTION file.
• Package NEWS.

Help Pages

nortsTest-package	'Assessing Normality of a Stationary Process.'
arch.test	The ARCH effect test function.
autoplot.numeric	Automatically create a ggplot for time series objects.
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_plot.Arima	Generic function for a visual check of residuals in time series models.
check_plot.arima0	Generic function for a visual check of residuals in time series models.
check_plot.ets	Generic function for a visual check of residuals in time series models.
check_plot.fGarch	Generic function for a visual check of residuals in time series models.
check_plot.forecast	Generic function for a visual check of residuals in time series models.
check_plot.HoltWinters	Generic function for a visual check of residuals in time series models.
check_plot.lm	Generic function for a visual check of residuals in time series models.
check_plot.numeric	Generic function for a visual check of residuals in time series models.
check_plot.ts	Generic function for a visual check of residuals in time series models.
check_residuals	Generic functions for checking residuals in time series models
check_residuals.Arima	Generic functions for checking residuals in time series models
check_residuals.arima0	Generic functions for checking residuals in time series models
check_residuals.ets	Generic functions for checking residuals in time series models
check_residuals.fGarch	Generic functions for checking residuals in time series models
check_residuals.forecast	Generic functions for checking residuals in time series models
check_residuals.HoltWinters	Generic functions for checking residuals in time series models
check_residuals.lm	Generic functions for checking residuals in time series models
check_residuals.numeric	Generic functions for checking residuals in time series models
check_residuals.ts	Generic functions for checking residuals in time series models
cvm_bootstrap.test	The Sieve Bootstrap Cramer Von Mises test for normality.
elbouch.statistic	Computes El Bouch, et al.'s z statistic.
elbouch.test	Computes El Bouch, et al.'s test for normality of multivariate dependent samples.
epps.statistic	Estimates the Epps statistic.
epps.test	The asymptotic Epps and Pulley Test for normality.
epps_bootstrap.test	The Sieve Bootstrap Epps and Pulley test for normality.
fortify.ts	Automatically create a ggplot for time series objects.
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.statistic	Computes the Lobato and Velasco statistic.
lobato.test	The asymptotic Lobato and Velasco's Test for normality.
lobato_bootstrap.test	The Sieve Bootstrap Lobato and Velasco's Test for normality.
normal.test	The normality test for stationary process
nortsTest	'Assessing Normality of a Stationary Process.'
random.projection	Generate a random projection.
rp.sample	Generates a test statistics sample of random projections.
rp.test	The k random projections 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.