mixtools-internal: Internal 'mixtools' Functions

In mixtools: Tools for Analyzing Finite Mixture Models

Internal 'mixtools' Functions

Description

Internal kernel, semiparametric-related, and miscellaneous functions for the package mixtools.

Usage

dexpmixt(t, lam, rate)
HRkde(cpd, u = cpd[,1], kernelft = triang_wkde, 
      bw = rep(bw.nrd0(as.vector(cpd[,1])), length(cpd[,1])))
inv.logit(eta)
kern.B(x, xi, h, g = 0)
kern.C(x, xi, h)
kern.G(x, xi, h)
kern.O(x, xi, h)
kern.T(x, xi, h)
kfoldCV(h, x, nbsets = 2, w = rep(1, length(x)), 
        lower = mean(x) - 5*sd(x), upper = mean(x) + 5*sd(x))
KMintegrate(s) 
KMod(cpd, already.ordered = TRUE)
ldc(data, class, score)
logit(mu)
npMSL_old(x, mu0, blockid = 1:ncol(x),
          bw=bw.nrd0(as.vector(as.matrix(x))), samebw = TRUE,
          h=bw, eps=1e-8, maxiter=500, bwiter = maxiter,
          ngrid = 200, post = NULL, verb = TRUE)
plotseq(x, ...)
rlnormscalemix(n, lambda=1, meanlog=1, sdlog=1, scale=0.1)
splitsample(n, nbsets = 2)
triang_wkde(t, u=t, w=rep(1/length(t),length(t)), bw=rep(bw.nrd0(t), length(t)))
wbw.kCV(x, nbfold = 5, w = rep(1, length(x)), 
        hmin = 0.1*hmax, hmax = NULL)

Arguments

x	A vector of values to which local modeling techniques are applied.
xi	An n-vector of data values.
h	The bandwidth controlling the size of the window used for the local estimation around x. This pertains to its usage in the kernel functionns kern.B, kern.C, kern.G, kern.O, and kern.T. For its usage in the kfoldCV function, see updated arguments in the npMSL function.
g	A shape parameter required for the symmetric beta kernel. The default is g = 0 which yields the uniform kernel. Some common values are g = 1 for the Epanechnikov kernel, g = 2 for the biweight kernel, and g = 3 for the triweight kernel.
mu0	See updated arguments in the npMSL function.
blockid	See updated arguments in the npMSL function.
bw	See updated arguments in the npMSL function.
samebw	See updated arguments in the npMSL function.
eps	See updated arguments in the npMSL function.
maxiter	See updated arguments in the npMSL function.
bwiter	See updated arguments in the npMSL function.
ngrid	See updated arguments in the npMSL function.
post	See updated arguments in the npMSL function.
verb	See updated arguments in the npMSL function.
n	See updated arguments in the npMSL function.
nbsets	See updated arguments in the npMSL function.
w	See updated arguments in the npMSL function.
lower	See updated arguments in the npMSL function.
upper	See updated arguments in the npMSL function.
nbfold	See updated arguments in the npMSL function.
hmin	See updated arguments in the npMSL function.
hmax	See updated arguments in the npMSL function.
data	Data, possibly multivariate, fed to the mixturegram function.
class	The number of classes, inputted based on number of components in the mixturegram function.
score	The score vector from LDA used in constructing a mixturegram.
lam	A vector of mixture proportions, should sum to one.
rate	A vector of mixture component rates.
t	Argument for dexpmixt.
mu	A proportion for which to calculate the logit function; i.e., log(mu / (1 - mu)).
eta	Any real value for which to calculate the inverse logit function; i.e., 1 / (1 + exp(eta)).
cpd	Argument for HRkde.
kernelft	Argument for HRkde.
s	Argument for KMintegrate.
meanlog	Argument for rlnormscalemix.
sdlog	Argument for rlnormscalemix.

Details

These are usually not to be called by the user.

See Also

npMSL

mixtools documentation built on Dec. 5, 2022, 5:23 p.m.