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mixtools (version 2.0.0)

mixtools-internal: 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