hglmm-internal {hglmm}R Documentation

Internal hglmm functions.

Description

Internal hglmm functions.

Usage

breaker(y, K) 
derivp(npar, K, rho = NULL, expo = FALSE) 
derivpi(ispd, tpm, npar, dp) 
est.tpm(states, K, mixture = FALSE) 
fix.rho(tpm) 
fix.tpm(x, K, expo) 
get.gl(theta, K, X, y, cf) 
get.hgl(theta, K, X, y, cf) 
get.l(theta, K, X, y, cf) 
hglmm.em(formula, data, K, theta, expo = TRUE, mixture = FALSE, 
    itmax = 200, crit = "CLL", tolerance = NULL, overpar=FALSE, digits = NULL, 
    verbose = FALSE) 
hglmm.bf(formula,data,K,theta,mixture=FALSE,itmax=200,
         tolerance=NULL,overpar=FALSE,digits=NULL,verbose=FALSE)
hglmm.lm(formula, data, K, theta, lmc = 10, mixture = FALSE,
         itmax = 200, crit, tolerance = NULL, overpar=FALSE,
         digits = NULL, verbose = FALSE)
hglmm.nl(formula, data, K, theta, mixture = FALSE,
         itmax = 200, tolerance = NULL, overpar=FALSE, use.anal=FALSE,
         ca=FALSE, verbose = FALSE)
init.all(formula, data, K = NULL, par0 = NULL, mixture = FALSE, breaks
         = NULL,expo = FALSE)
lmstep(theta, K, X, y, cf, lmc) 
newstep(theta, K, X, y, cf) 
recurse(fy, tpm, cf, epsilon, mixture = FALSE) 
revise.ispd(tpm) 
revise.model(formula,data,overpar=FALSE) 
revise.tpm(xi, mixture)
sim.mlt(formula, data, ispd, tpm, phi, miss.frac = 0) 
sim.sngl(blp, ispd, tpm, mf) 
steepest(K, X, y, cf, theta) 

Details

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


[Package hglmm version 0.0-14 Index]