calc_emis

Calculating the probability of occurance of particular values of covariates at a node given the value of target.

Hidden Markov models (HMMs) are a formal foundation for making probabilistic models of linear sequence. They provide a conceptual toolkit for building complex models just by drawing an intuitive picture. They are at the heart of a diverse range of programs, including genefinding, profile searches, multiple sequence alignment and regulatory site identification. HMMs are the Legos of computational sequence analysis. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. Tree represents the nodes connected by edges. It is a non-linear data structure. A poly-tree is simply a directed acyclic graph whose underlying undirected graph is a tree. The model proposed in this package is the same as an HMM but where the states are linked via a polytree structure rather than a simple path.

Prajwal Bende

dagHMM

Directed Acyclic Graph HMM with TAN Structured Emissions

Russ Greiner

Pouria Ramazi

calc_emis function

<dl><dt>state</dt>
<dd>character value of state variable at a particular node.</dd>
<dt>obsv</dt>
<dd>character vector of values of covariates at that node.</dd>
<dt>probs</dt>
<dd>emission probability distribution of the covariates in TAN structure.</dd>
<dt>pars</dt>
<dd>integer vector denoting the parents of the nodes(other than root) in the TAN structure.</dd></dl>

Arguments

Calculating the probability of occurance of particular values of covariates at a node given the value of target. — calc_emis

<dl>

<dt>state</dt>
<dd>character value of state variable at a particular node.</dd>


<dt>obsv</dt>
<dd>character vector of values of covariates at that node.</dd>


<dt>probs</dt>
<dd>emission probability distribution of the covariates in TAN structure.</dd>


<dt>pars</dt>
<dd>integer vector denoting the parents of the nodes(other than root) in the TAN structure.</dd>

</dl>

calc_emis: Calculating the probability of occurance of particular values of covariates at a node given the value of target.

Description

Usage

Value

Arguments