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. |