hmm.discnp (version 2.1-5)

hmm.discnp-internal: Internal hmm.discnp functions.

Description

Internal hmm.discnp functions.

Usage

check.yval(y, Rho, type, warn=TRUE)
checkyXoK(y, X)
derivf(theta, K)
derivp(theta, K)
derivpi(ispd, tpm, npar, dp)
ell(phi, G)
expForm2p(x)
ffun(Dat, Rho, type)
fix.tpm(x, K)
forgethgl(fy, y, ymiss, tpm, ispd, d1pi, d2pi, npar, d1p,
          d2p, m, d1f, d2f)
orgethgl(fy, y, ymiss, tpm, xispd, d1pi, d2pi, npar, d1p,
          d2p, m, d1f, d2f)
rgethgl(fy, y, ymiss, tpm, xispd, d1pi, d2pi, npar, d1p,
          d2p, m, d1f, d2f)
get.gl(theta, K, y)
get.hgl(theta, K, y, method=c("fortran","oraw","raw"))
get.l(theta, K, y)
getIspd(pars, K)
getRho(pars, K, rhovals, stationary, prednames)
getTpm(pars, K, stationary)
hmmBD(y, yval=NULL, par0=NULL, K=NULL, rand.start=NULL, stationary=cis,
      mixture=FALSE, cis=TRUE, tolerance, digits=NULL, verbose=FALSE,
      itmax=200, crit, bicm)
hmmBI(y, yval=NULL, par0=NULL, K=NULL, rand.start=NULL, stationary=cis,
      mixture=FALSE, cis=TRUE, tolerance, digits=NULL, verbose=FALSE,
      itmax=200, crit, bicm)
hmmNumOpt(Dat, par0, stationary, verbose, itmax, bicm, rhovals, npar, optimiser,
          optimMethod, hessian=FALSE, ...)
hmmLM(y, par0, itmax=200, crit, lmc=10, tolerance,
      bicm, rhovals, hglmethod, digits=NULL, verbose=FALSE) 
hmmSD(y, par0, itmax=200, crit, tolerance,
      bicm, rhovals, hglmethod, digits=NULL, verbose=FALSE) 
hmmUV(y, yval=NULL, par0=NULL, K=NULL, rand.start=NULL,
      method=c("EM","bf","LM","SD"), hglmethod=c("fortran","oraw","raw"),
      optimiser=c("nlm","optim"), optimMethod=NULL, stationary=cis,
      mixture=FALSE, cis=TRUE, tolerance, digits=NULL, verbose=FALSE,
      itmax=200, crit, bicm, newstyle=TRUE, X=NULL, addIntercept=TRUE,
      lmc=10, hessian=FALSE, ...)
init.all(nval, K, rand.start, mixture, indep, newstyle, yval, prednames)
lmstep(theta, K, y, lmc, hglmethod)
lse(z)
msRho(Rho0, G)
makeDat(y, X, addIntercept)
paramExtract(Rho, newstyle)
p2expForm(x)
phi2rho(phi, ijk)
recurse(fy, tpm, ispd, lns)
reparam(pars, stationary)
revise.ispd(tpm=NULL, gamma=NULL, lns=NULL, cis=TRUE)
revise.rho(Dat, gamma, stnms, type)
revise.tpm(xi, mixture)
rho2phi(Rho)
steepest(K, y, theta)
tidyList(y, rp=c("response","predictor"),addIntercept)

Arguments

Details

These functions are auxiliary and are not intended to be called by the user.