grad_zipnegloglik_nocov_cont: gradient for negative log likelihood function from...
In ziphsmm: Zero-Inflated Poisson Hidden (Semi-)Markov Models
Description
Usage
Arguments
Value
Description
gradient for negative log likelihood function from zero-inflated Poisson hidden Markov model
without covariates, where zero-inflation only happens in state 1
Usage
1
grad_zipnegloglik_nocov_cont(parm, M, y, ntimes, timeindex, udiff)
Arguments
parm
working parameters
M
number of hidden states
y
observed series
ntimes
length of the observed series
timeindex
vector of observed time points
udiff
unique time intervals
Value
gradient for negative log likelihood
ziphsmm documentation built on May 2, 2019, 6:10 a.m.
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Description Usage Arguments Value
Description
gradient for negative log likelihood function from zero-inflated Poisson hidden Markov model without covariates, where zero-inflation only happens in state 1
Usage
1 | grad_zipnegloglik_nocov_cont(parm, M, y, ntimes, timeindex, udiff)
|
Arguments
parm |
working parameters |
M |
number of hidden states |
y |
observed series |
ntimes |
length of the observed series |
timeindex |
vector of observed time points |
udiff |
unique time intervals |
Value
gradient for negative log likelihood
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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