ppmlasso-internal: Internal ppmlasso functions

ppmlasso-internalR Documentation

Internal ppmlasso functions

Description

These are internal functions called by the main functions of ppmlasso, but are not generally used directly by the user.

Usage

blocks(n.blocks, block.scale, dat, seed = 1)
calculateGCV(y, X, ob.wt, b.lasso, lambda, alpha = alpha, 
unp.likelihood = unp.likelihood, penalty = TRUE, family = "poisson", 
mu.min = 1.e-16, mu.max = 1.e16, eta.min = log(1.e-16), eta.max = log(1.e16),
tol = 1.e-9, area.int = FALSE)
calculateLikelihood(X, family, ob.wt, mu, y, alpha, lambda, beta, penalty = FALSE)
calculateUnpenalisedLikelihood(ob.wt, y, mu)
catConvert(env.frame)
catFrame(cat.mat)
decimalCount(x, max.dec = max(10, max(nchar(x))), tol = 0.1)
etaFromMu(mu, family, mu.min = 1.e-16, mu.max = 1/mu.min, eta.min, eta.max)
interp(sp.xy, sp.scale, f, back.xy, coord = c("X", "Y"))
irlsUpdate(y, X, ob.wt, is.in, signs, eta, mu, alpha, lambda, beta.old, 
penalty = FALSE, family, mu.min = 1.e-16, mu.max = 1/mu.min, eta.min, 
eta.max, tol = tol)
makeMask(dat.ppm)
muFromEta(eta, family, mu.min = 1.e-16, mu.max = 1/mu.min)
polyNames(X)
ppmSpatstat(fit)
scoreIntercept(y, X.des, ob.wt = rep(1, length(y)), area.int = FALSE, int = NA, family)
singleLasso(y, X, lamb, ob.wt = rep(1, length(y)), alpha = 1, b.init = NA,
intercept = NA, family = "gaussian", tol = 1.e-9, gamma = 0, init.coef = NA, 
mu.min = 1.e-16, mu.max = 1/mu.min, area.int = FALSE, interactions, max.it = 25,
standardise = TRUE)
spatRes(env.grid, coord = c("X", "Y"))
standardiseX(mat)
weights(sp.xy, quad.xy, coord = c("X", "Y"))
zapCoord(x, numdec = decimalCount(x))

Details

These are generally not called by the user.

Author(s)

Ian W. Renner


ppmlasso documentation built on May 29, 2024, 7:12 a.m.