R: Assessing Normality of Stationary Process

# Assessing Normality of Stationary Process

## Documentation for package ‘nortsTest’ version 1.1.3

- DESCRIPTION file
- Package NEWS
- Package README

## 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.