eglhmm-internal: Internal eglhmm functions.

In eglhmm: Extended Generalised Linear Hidden Markov Models

Internal eglhmm functions.

Description

Internal eglhmm functions.

Usage

binForm(fmla)
bivdepPhi2Rho(phi,ijk)
bivdepRho2Phi(Rho)
checkRho(Rho,K,rsplvls,indep)
checkTpm(tpm)
checkYval(yval,Rho,type,warn=TRUE) 
cnvrtRho(Rho)
derivpi(ispd,tpm,npar,dp)
derivp(npar,K,tau=NULL,expo=FALSE)
doKeq1(data,fmla,distr,preSpecSigma,response,indep,size,nbot,ntop,bicm,nafrac)
dotzp(tvec,K,inclTau,preSpecSigma)
ell(phi,G)
expForm2p(x)
fakeStates(data,K,fmla)
ffun(data,fmla,response,Rho,type)
fixTau(tpm)
forGetHgl(nd,theta,data,fmla,inclTau=TRUE,preSpecSigma=NULL)
getHgl(nd,distr,theta,data,fmla,size,nbot,ntop)
getIspd(theta,K)
getLL(rp)
getModComps(distr,fmla,data,theta,size,nbot,ntop)
getMu(gmu,data,fmla)
getTpm(theta,K)
eglhmmBf(formula,data,distr,theta,size,nbot,ntop,
         optimiser,optimMethod,nlmWarn,hessian,useAnalGrad,ca,
         itmax,tolerance,verbose) 
eglhmmEm(formula,data,distr,preSpecSigma,size,tau,zeta,phi,
         mixture=FALSE,itmax=200,crit="CLL",tolerance=NULL,
         digits=NULL,verbose=FALSE,checkDecrLL=TRUE)
eglhmmLm(formula,data,distr,inclTau,preSpecSigma,size,nbot,ntop,
         tau,zeta,phi,lmc=10,mixture=FALSE,itmax=200,crit,
         tolerance=NULL,digits=NULL,verbose=FALSE) 
eglhmmBD(data,par0,K,response,tolerance,digits,verbose,itmax,crit)
eglhmmBI(data,par0,K,response,tolerance,digits,verbose,itmax,crit)
initialise(distr,data,formula,rsplvls,par0,K,preSpecSigma,size,
           nbot,ntop,breaks,randStart,indep)
initRho(data,K,fmla,randStart,indep,rsplvls)
llDiff(new.ll,old.ll,tolerance)
llKeq1(data,object)
lse(z)
lmstep(theta,data,fmla,distr,size,nbot,ntop,lmc)
logistic(eta)
logit(mu)
misstify(y,response,nafrac,fep=NULL)
msRho(Rho0,G)
nafracCalc(data,response)
ordinal(k)
ordinalsuffix(k)
origData(rData)
p2expForm(x)
phi2Rho(phi,K,rhovals,preds)
ragg(theta,data,fmla,distr,size=NULL,nbot=NULL,ntop=NULL,delta=0.01)
recurse(fy,tpm,level=2L)
reviseIspd(tpm)
reviseModel(formula,data,distr,preSpecSigma,size)
reviseRho(data,response,fmla,type)
reviseSigma(r,weights,state)
reviseTau(distr,fmla,data,theta,size,nbot,ntop)
reviseTheta(tvec,theta,distr,fmla,data,size,nbot,ntop)
reviseTpm(xisum,mixture)
revSigUnwtd(phi,X,y,state)
rho2Phi(Rho)
saGetHgl(nd,theta,data,fmla,inclTau=TRUE,preSpecSigma=NULL)
saSubGetHgl(nd,fy,gmu,sd,y,tdm,tpm,xispd,d1pi,d2pi,kstate,
            npar,npt,nxc,d1p,d2p,alpha,alphw,a,b,aw,bw,xlc,
            hess,xl) 
sasubrf1(y,gmu,sd,fy,tdm,kstate,npar,npt,nxc,nd)
simMlt(formula,response,distr,data,ispd,tpm,phi,Rho,
       sigma,size,ntop,zeta,missFrac,fep)
simSngl(distr,tpm,ispd,nt,mlp,Rho,yvals,datxl,fmla,response,
        sig,size,ntop,zeta,mf,fep)
steepest(tvec,theta,data,fmla,distr,size,nbot,ntop)

Details

These functions are auxiliary and are not intended to be called by the user. In particular sasubrf1(), saGetHgl(), saSubGetHgl() and forGetHgl() are for debugging purposes only

Value

All of the functions listed above return values. These values vary widely in nature, and are passed on to the relevant calling functions. However these values are not observed directly by users.

eglhmm documentation built on May 29, 2024, 1:20 a.m.