# sm-internal: Internal sm functions In sm: Smoothing Methods for Nonparametric Regression and Density Estimation

## Description

Internal `sm` functions

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57``` ```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.

sm documentation built on Sept. 13, 2021, 5:07 p.m.