| decafs_wrapper | R Documentation |
Wraps DeCAFS::DeCAFS() (Romano, Rigaill, Runge and Fearnhead,
2022), which detects abrupt mean changes when the underlying signal also
drifts (random-walk fluctuations) and the noise is AR(1)-autocorrelated,
the two regimes in which plain change-in-mean methods over-detect. Model
parameters are estimated automatically unless supplied.
decafs_wrapper(x, penalty = NULL, model_param = NULL, ...)
x |
A numeric vector. |
penalty |
Penalty |
model_param |
Optional list of model parameters
( |
... |
Additional arguments passed to |
A ggcpt object. The data tibble carries the
estimated signal in its fitted column.
romano2022decafsggchangepoint
Other changepoint engines:
bcp_wrapper(),
beast_wrapper(),
bfast_wrapper(),
binsegrcpp_wrapper(),
bocpd_wrapper(),
capa_wrapper(),
cpm_wrapper(),
cpop_wrapper(),
cpt_wrapper(),
ecp_wrapper(),
envcpt_wrapper(),
esac_wrapper(),
fabisearch_wrapper(),
fastcpd_wrapper(),
fcov_wrapper(),
fmean_wrapper(),
fpop_wrapper(),
geomcp_wrapper(),
hdcov_wrapper(),
hdreg_wrapper(),
idetect_wrapper(),
inspect_wrapper(),
kcp_wrapper(),
kwc_wrapper(),
mcp_wrapper(),
mosum_wrapper(),
network_wrapper(),
not_wrapper(),
npmojo_wrapper(),
nsp_wrapper(),
ocd_wrapper(),
pilliat_wrapper(),
segmented_wrapper(),
smuce_wrapper(),
sn_wrapper(),
strucchange_wrapper(),
taylor_wrapper(),
tguh_wrapper(),
trend_wrapper(),
var_wrapper(),
wbs2_wrapper(),
wbs_wrapper(),
wbsts_wrapper()
set.seed(2026)
res <- decafs_wrapper(c(rnorm(100), rnorm(100, 5)))
res$changepoints
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