R: Internal 'mixtools' Functions

mixtools-internal {mixtools} | R Documentation

## 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`.
`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.
`h` | 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`

[Package mixtools version 1.2.0 Index]