This is the version of the package under development. To use the most recent stable version from CRAN, run
install.packages("funtimes")
library(funtimes)
To get this version from GitHub, run
devtools::install_github("vlyubchich/funtimes")
library(funtimes)
r_crit()
to compute critical values of correlations.BIC
argument in AR estimation with ic
, to easily switch to AIC.
The directly affected functions are notrend_test()
, sync_test()
, and wavk_test()
.i.tails()
and q.tails()
are marked defunct and renamed as tails_i
and tails_q
.Jmisc
.ccf_boot()
now has the parallel option, thanks to suggestions from Erika Koontz and Benjamin Malmgren.
The function also switched to using normal bootstrap intervals to improve their symmetry.
Optional smoothing was added for extra smoothness, which prompted to omit $p$-value calculation.causality_pred()
, remove the fast bootstrap of paired out-of-sample errors as under-performing;
make sure the AR-order selection is done on the training set;
try extra statistics;
correct the restricted model for bootstrapping (include intercept).causality_pred()
and causality_predVAR()
.TDA
by omitting the TDA-based clustering function TopoCBN()
.mcusum_test
now runs faster, has the option to use heuristic shortened bootstrapping, and an option to set m <= length(k)
(used to be m = length(k)
) thanks to the contributions from Alexander Brenning.AuePolyReg_test()
, ccf_boot()
, cumsumCPA_test()
, GombayCPA_test()
, and TopoCBN()
.beales()
thanks to an email from Dave Lorenz.purity()
function, inspired by Brian Simmons's suggestions from 2019-06-12 about handling zero cases when all matches have been found.See GitHub commits before 2019-04-15
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