R: Functions for Time Series Analysis

# Functions for Time Series Analysis

## Documentation for package ‘funtimes’ version 10.0

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

## Help Pages

funtimes-package | funtimes: Functions for Time Series Analysis
ARest | Estimation of Autoregressive (AR) Parameters
AuePolyReg_test | Testing for Change Points in Time Series via Polynomial Regression
beales | Beale's Estimator and Sample Size
BICC | BIC-Based Spatio-Temporal Clustering
causality_pred | Out-of-sample Tests of Granger Causality
causality_predVAR | Out-of-sample Tests of Granger Causality using (Restricted) Vector Autoregression
ccf_boot | Cross-Correlation of Autocorrelated Time Series
CSlideCluster | Slide-Level Time Series Clustering
cumsumCPA_test | Change Point Detection in Time Series via a Linear Regression with Temporally Correlated Errors
CWindowCluster | Window-Level Time Series Clustering
DR | Downhill Riding (DR) Procedure
funtimes | funtimes: Functions for Time Series Analysis
GombayCPA_test | Change Point Detection in Autoregressive Time Series
HVK | HVK Estimator
mcusum_test | Change Point Test for Regression
notrend_test | Sieve Bootstrap Based Test for the Null Hypothesis of no Trend
purity | Clustering Purity
r_crit | Critical Value for Correlation Coefficient
sync_cluster | Time Series Clustering based on Trend Synchronism
sync_test | Time Series Trend Synchronicity Test
tails_i | Interval-Based Tails Comparison
tails_q | Quantile-Based Tails Comparison
WAVK | WAVK Statistic
wavk_test | WAVK Trend Test