The MVGC toolbox has been designed with application to empirical neuroscience data in mind，which is a new method for multivariate Granger causality analysis.

mvgc_v1.0
.........\startup.m
.........\GPL_v3.txt
.........\utils
.........\.....\bifft.m
.........\.....\plot_cpsd.m
.........\.....\secs2hms.m
.........\.....\timestr.m
.........\.....\plot_tsdata.m
.........\.....\isbad.m
.........\.....\genvar.m
.........\.....\plot_autocov.m
.........\.....\rng_restore.m
.........\.....\get_hostname.m
.........\.....\helpon.m
.........\.....\cov2corr.m
.........\.....\isint.m
.........\.....\control
.........\.....\.......\dlyap.m
.........\.....\.......\lyapslv.m
.........\.....\dlyap_aitr.m
.........\.....\var2trfun.m
.........\.....\bfft.m
.........\.....\var_info.m
.........\.....\warn_if.m
.........\.....\plot_varcoeffs.m
.........\.....\ptic.m
.........\.....\plot_confints.m
.........\.....\ptoc.m
.........\.....\plot_pw.m
.........\.....\trfun2var.m
.........\.....\mvdetrend.m
.........\.....\isposdef.m
.........\.....\warn_test.m
.........\.....\maxabs.m
.........\.....\var_decay.m
.........\.....\rng_seed.m
.........\.....\quads.m
.........\.....\fexists.m
.........\.....\stats
.........\.....\.....\gamcdf.m
.........\.....\.....\gampdf.m
.........\.....\.....\chi2cdf.m
.........\.....\.....\gaminv.m
.........\.....\.....\chi2inv.m
.........\.....\get_crand.m
.........\.....\var_normalise.m
.........\.....\quadsr.m
.........\.....\warn_supp.m
.........\.....\sfreqs.m
.........\.....\plot_spw.m
.........\.....\var_specrad.m
.........\.....\get_urand.m
.........\.....\rng_save.m
.........\.....\mvdiff.m
.........\.....\legacy
.........\.....\......\rng
.........\.....\......\...\rng.m
.........\.....\......\randi
.........\.....\......\.....\randi.m
.........\.....\......\make_legacy.m
.........\.....\mvgc_makemex.m
.........\mex
.........\...\genvar_mex.mexa64
.........\...\genvar_mex.mexw64
.........\...\genvar_mex.mexmaci64
.........\C
.........\.\genvar_mex.c
.........\core
.........\....\tsdata_to_cpsd.m
.........\....\var_to_tsdata.m
.........\....\cpsd_to_autocov.m
.........\....\var_to_tsdata_nonstat.m
.........\....\cpsd_to_var.m
.........\....\tsdata_to_autocov.m
.........\....\tsdata_to_var.m
.........\....\var_to_cpsd.m
.........\....\var_to_autocov.m
.........\....\tsdata_to_infocrit.m
.........\....\autocov_xform.m
.........\....\cpsd_xform.m
.........\....\autocov_to_cpsd.m
.........\....\autocov_to_var.m
.........\demo
.........\....\mvgc_demo_permtest.m
.........\....\mvgc_demo.m
.........\....\mvgc_demo_nonstationary.m
.........\....\var5_test.m
.........\....\mvgc_demo_bootstrap.m
.........\....\var9_test.m
.........\....\mvgc_demo_stats.m
.........\....\mvgc_demo_GCCA.m
.........\gc
.........\..\autocov_to_smvgc.m
.........\..\GCCA_compat
.........\..\...........\GCCA_tsdata_to_pwcgc.m
.........\..\...........\GCCA_tsdata_to_smvgc.m
.........\..\...........\GCCA_tsdata_to_mvgc.m
.........\..\autocov_to_mvgc.m
.........\..\autocov_to_spwcgc.m

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