Description Usage Arguments Value
getTheta Updates theta. Vectorized but only updates observations that have not converged.
1 2  getTheta(spt, f0, mu, sampprobs, ySptIndex, thetaStart = NULL,
thetaControl = theta.control())

spt 
Support of the observed response variable. (This is the set of unique values observed, not the set of all possible values.) 
f0 
Values of the baseline distribution corresponding to the values of spt 
mu 
The fitted mean for each observation. Note these values must lie strictly within the range of the support. 
sampprobs 
Matrix of sampling probabilities. The number of rows should equal the number of observations, and the number of columns should equal the number of unique observed support points. 
ySptIndex 
Vector containing index of each obervation's response value
within the 
thetaStart 
Vector of starting values. One value per observation. If

thetaControl 
Object of class 
List containing the following:
theta
Updated values.
fTilt
Matrix containing the exponentially tilted distribution for each
observation, i.e. f(yX=x). Each column corresponds to an observation and sums to one.
bPrime
Vector containing the mean of the exponentially tilted distribution
for each observation. Should match mu
argument very closely.
bPrime2
Vector containing the variance of the exponentially tilted
distribution for each observation.
fTiltSW
Matrix containing the exponentially tilted distribution for each
observation, conditional on that observation being sampled, i.e. f(yX=x, S=1).
If sampprobs=NULL
, then fTiltSW
matches fTilt
.
bPrimeSW
Vector containing the mean for each observation, conditional
on that observation being sampled. If sampprobs=NULL
, then bPrimeSW
matches bPrime
.
bPrime2SW
Vector containing the variance for each observation, conditional
on that observation being sampled. If sampprobs=NULL
, then bPrime2SW
matches bPrime2
.
llik
Semiparametric loglikelihood, evaluated at the current beta
and f0 values. If sampling weights are used, then the loglikelihood is conditional
on each observation being sampled.
conv
Convergence indicator.
iter
Number of iterations until convergence was reached.
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