Package: mkac 1.1

mkac: Mann-Kendall correlation and Theil-Sen slope for possibly autocorrelated time series

A re-do of part of the fume package to be (hopefully) feasible for larger data sets.

Authors:Ken Butler [aut, cre]

# Install 'mkac' in R:

install.packages('mkac', repos = c('https://nxskok.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated 9 months agofrom:40293a332a. Checks:OK: 7. Indexed: yes.

Help page	Topics
Detrend a time series by subtracting Theil-Sen slope	detrend
Calculate S statistic for Kendall correlation with time (+1 for concordance, -1 for discordance)	kendall_S
Kendall test statistic for testing time trend (no autocorrelation)	kendall_Z
Mann-Kendall correlation test, unadjusted and adjusted for autocorrelation, with P-values	kendall_Z_adjusted
ratio of actual to effective sample sizes for possibly autocorrelated time series	sample_size_ratio
display calculations for sum in adjustment for autocorrelation (mainly for debugging)	sum_df
Theil-Sen slope with time	theil_sen_slope
plot time series with smooth trend	ts_plot
Variance of Kendall correlation S statistic under null hypothesis of no trend and assuming independence	var_kendall_S