LFDR.MLE-internal: Internal Functions and Methods

Description Usage

Description

These functions are for internal use and/or for upcoming packages or not yet documented.

Usage

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MakeNames(x, nmvar = c("X", "I"), ...)
are(object, class2)
	are_null(object)
are_prob(object, ...)

assert.are(object, class2,
	 ...)
assert.is(object, class2, text = "")
est2list(x)
	get_groups(n.features, n.null, n.groups)
get_n.groups(n.features, n.null,
	 group.size)
get_null.groups(n.null, null.n.groups)
get_null.n.groups(n.null,
	 null_group.size)
get_simulated_W(n.features, true.p0, list.ncp1,
	 rFUN, df)
is_any(object, class2)
is_err(object)
is_error(object)
	is_unk(object)
is_vide(object)


lfdr.hats(stat = NULL, lfdr.fun = "lfdr.mle",
	 dFUN = dabsTd, lower.ncp = 0.001, upper.ncp = 20, lower.p0 = 0,
	 upper.p0 = 1, fixed.p0 = NULL, fixed.ncp = NULL, d0 = 0, v = 1,
	 w = 1, ...)
make_labels(n, nmvar = c("X"), n.ini = 1)


new_est.lfdrmle(LFDR.hat,
	 p0.hat, ncp.hat, stat, method = NULL, info = list())
nsize(x)
rFUN_generator(base_rFUN, ...)
sameAsX_names(x = NULL, y = NULL)
simulated_W(n.features, n.null, rFUN = rFUN_generator(rchisq), true.ncp1, df,
	 N = (n.features - n.null), sided = ifelse(identical(rFUN,
	 rFUN_generator(rchisq)), 1, 2), logic = TRUE)
vect2string(x, sep = "", ...)
	vectorized.dabsTd(ncp, ...)
ye.mle(W, df, dFUN = dabsTd, lower.ncp = 0.001,
	 upper.ncp = 20, lower.p0 = 0, upper.p0 = 1, d0 = 0, fixed.ncp = NULL,
	 fixed.p0 = NULL, ...)

LFDR.MLE documentation built on May 30, 2017, 3:32 a.m.