nll_Rcpp: Negative log-likelihood evaluation
In JenniferPohle/PHSMM: Penalised maximum likelihood estimation for hidden semi-Markov models
Description
Usage
Arguments
Value
Description
Evaluation of the negative HMM log-likelihood function based on the forward algorithm, written in C++ (internal function, called by the function npllHSMM).
Usage
1
Arguments
allprobs
matrix containing the state-dependent distribution values for each observation (row) and state (column), respectively.
gamma
transition probability matrix.
delta
initial distribution.
T_y
number of observations.
Value
returns the negative log-likelihood value.
JenniferPohle/PHSMM documentation built on Jan. 27, 2021, 7:07 p.m.
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Description Usage Arguments Value
Description
Evaluation of the negative HMM log-likelihood function based on the forward algorithm, written in C++ (internal function, called by the function npllHSMM).
Usage
1 |
Arguments
allprobs |
matrix containing the state-dependent distribution values for each observation (row) and state (column), respectively. |
gamma |
transition probability matrix. |
delta |
initial distribution. |
T_y |
number of observations. |
Value
returns the negative log-likelihood value.
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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