R: Internal sm functions

sm-internal {sm} | R Documentation

## Internal sm functions

### Description

Internal `sm` functions

### Usage

    addplot(d, f, theta, phi)
    britmap()
    change(th, ph)
    circle(r)
    cv(x, h, ...)
    hidplot(invis, theta, phi)
    incphi(ph, inc)
    inctheta(th, inc)
    isInteger(x)
    isMatrix(x)
    normdens.band(x, h, weights = rep(1, length(x)), options = list())
    p.quad.moment(A, Sigma, tobs, ndevs)
    smplot.regression(x, y, design.mat, h, r, model, weights, rawdata = list(),
        options = list(), ...)
    plot2(latitude2, longitude2, theta, phi)
    plot2d(d, f, theta, phi)
    replace.na(List, comp, value)
    sj(x, h)
    sm.check.data(x, y = NA, weights = NA, group = NA, ...)
    sm.density.1d(x, h = hnorm(x, weights), model = "none", weights,
       rawdata = list(x = x), options = list())
    sm.density.2d(X, h = hnorm(X, weights), weights = rep(1, length(x)),
       rawdata = list(), options = list())
    sm.density.3d(x, h = hnorm(x, weights),  weights = rep(1, length(x)),
       rawdata = list(), options = list())
    sm.density.eval.1d(x, h, weights = rep(1, n), options = list())
    sm.density.eval.2d(x, y, h, xnew, ynew, eval.type = "points",
       weights = rep(1, n), options = list())
    sm.density.positive.1d(x, h, weights, options = list())
    sm.density.positive.2d(X, h = c(hnorm(log(X[, 1] + delta[1]), weights),
       hnorm(log(X[,2] + delta[2]), weights)), eval.type = "points",
       weights = rep(1, nrow(X)), options = list())
    sm.density.positive.grid(X, h = c(hnorm(log(X[, 1] + delta[1])),
       hnorm(log(X[, 2] + delta[2]))), weights=NA, options=list())
    sm.glm(x, y, family, h, eval.points, start, offset, options=list())
    sm.imageplot(x, y, h, weights, rawdata, options = list())
    sm.persplot(x, y, h = hnorm(cbind(x, y), weights), weights, rawdata = list(),
        options = list())
    sm.regression.1d(x, y, h, design.mat = NA, model = "none",
        weights = rep(1, length(x)), rawdata, options = list())
    sm.regression.2d(x, y, h, model = "none", weights = rep(1, length(y)), rawdata,
        options = list())
    sm.regression.eval.1d(x, y, design.mat, h, model = "none",
        weights = rep(1, length(x)), rawdata, options = list())
    sm.regression.eval.2d (x, y, h, model, eval.points, hull = TRUE,
        weights, options = list())
    sm.regression.test(x, y, design.mat = NA, h, model = "no.effect",
        weights = rep(1,length(y)), rawdata, options = list())
    sm.sigweight(x, weights)
    sm.sliceplot(x, y, h, weights, rawdata = list(), options = list())
    sm.weight(x, eval.points, h, cross = FALSE, weights = rep(1, length(x)), options)
    sm.weight2(x, eval.points, h, cross = FALSE, weights = rep(1, nrow(x)),
        options = list())
    smplot.density(x, h, weights = rep(1, length(x)), rawdata = list(x = x),
        options = list())
    wmean(x, w)
    wvar(x, w)

### Details

These are not to be called by the user.

[Package sm version 2.2-5.4 Index]