R: Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

# Dependent Mixture Models - Hidden Markov Models of GLMs and Other Distributions in S4

## Documentation for package ‘depmixS4’ version 1.5-4

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

B C D E F G H L M N P R S T V

depmixS4-package | depmixS4 provides classes for specifying and fitting hidden Markov models

## -- B --

balance | Balance Scale Data
BINOMresponse | Response models currently implemented in depmix.

## -- C --

confint | Parameter standard errors
confint-method | Parameter standard errors

## -- D --

depmix | Dependent Mixture Model Specifiction
depmix-class | Class "depmix"
depmix-method | Dependent Mixture Model Specifiction
depmix-methods | 'depmix' and 'mix' methods.
depmix.fit | Fit 'depmix' or 'mix' models
depmix.fitted | Class "depmix.fitted" (and "depmix.fitted.classLik")
depmix.fitted-class | Class "depmix.fitted" (and "depmix.fitted.classLik")
depmix.fitted.classLik | Class "depmix.fitted" (and "depmix.fitted.classLik")
depmix.fitted.classLik-class | Class "depmix.fitted" (and "depmix.fitted.classLik")
depmix.sim | Class "depmix.sim"
depmix.sim-class | Class "depmix.sim"
depmixS4 | depmixS4 provides classes for specifying and fitting hidden Markov models

## -- E --

em.control | Control parameters for the EM algorithm

## -- F --

fit | Fit 'depmix' or 'mix' models
fit-method | Fit 'depmix' or 'mix' models
formatperc | Format percentage for level in printing confidence interval
forwardbackward | Forward and backward variables
forwardbackward-method | Forward and backward variables
freepars | 'depmix' and 'mix' methods.
freepars-method | 'depmix' and 'mix' methods.

## -- G --

GAMMAresponse | Response models currently implemented in depmix.
getdf | Methods for creating depmix response models
getdf-method | Methods for creating depmix response models
getdf-method | Methods for creating depmix transition and initial probability models
getmodel | 'depmix' and 'mix' methods.
getmodel-method | 'depmix' and 'mix' methods.
getpars | 'depmix' and 'mix' methods.
getpars-method | 'depmix' and 'mix' methods.
GLMresponse | Methods for creating depmix response models
GLMresponse-class | Class "GLMresponse" and class "transInit"
GLMresponse-method | Methods for creating depmix response models

## -- H --

hessian | Parameter standard errors
hessian-method | Parameter standard errors

## -- L --

llratio | Log likelihood ratio test on two fitted models
logLik | 'depmix' and 'mix' methods.
logLik-method | 'depmix' and 'mix' methods.
loglikelihoodratio | Log likelihood ratio test on two fitted models

## -- M --

makeDepmix | Dependent Mixture Model Specifiction: full control and adding response models
makeMix | Dependent Mixture Model Specifiction: full control and adding response models
mix | Mixture Model Specifiction
mix-class | Class "mix"
mix-method | Mixture Model Specifiction
mix.fit | Fit 'depmix' or 'mix' models
mix.fitted-class | Class "mix.fitted" (and "mix.fitted.classLik")
mix.fitted.classLik-class | Class "mix.fitted" (and "mix.fitted.classLik")
mix.sim | Class "mix.sim"
mix.sim-class | Class "mix.sim"
MULTINOMresponse | Response models currently implemented in depmix.
multistart | Methods to fit a (dep-)mix model using multiple sets of starting values
multistart-method | Methods to fit a (dep-)mix model using multiple sets of starting values
MVNresponse | Response models currently implemented in depmix.
MVNresponse-class | Class "GLMresponse" and class "transInit"

## -- N --

nobs | 'depmix' and 'mix' methods.
nobs-method | 'depmix' and 'mix' methods.
NORMresponse | Response models currently implemented in depmix.
npar | 'depmix' and 'mix' methods.
npar-method | 'depmix' and 'mix' methods.
nresp | Class "depmix"
nresp-method | Class "depmix"
nresp-method | Class "depmix.sim"
nresp-method | Class "mix"
nresp-method | Class "mix.sim"
nstates | Class "depmix"
nstates-method | Class "depmix"
nstates-method | Class "depmix.sim"
nstates-method | Class "mix"
nstates-method | Class "mix.sim"
ntimes | Class "depmix"
ntimes-method | Class "depmix"
ntimes-method | Class "depmix.sim"
ntimes-method | Class "mix"
ntimes-method | Class "mix.sim"

## -- P --

POISSONresponse | Response models currently implemented in depmix.
posterior | Posterior state/class probabilities and classification
posterior-method | Posterior state/class probabilities and classification

## -- R --

response-class | Class "response"
response-classes | Class "GLMresponse" and class "transInit"
responses | Response models currently implemented in depmix.

## -- S --

setpars | 'depmix' and 'mix' methods.
setpars-method | 'depmix' and 'mix' methods.
show | Dependent Mixture Model Specifiction
show-method | Methods for creating depmix response models
show-method | Dependent Mixture Model Specifiction
show-method | Fit 'depmix' or 'mix' models
show-method | Log likelihood ratio test on two fitted models
show-method | Mixture Model Specifiction
show-method | Response models currently implemented in depmix.
simulate | Methods to simulate from (dep-)mix models
simulate-method | Methods to simulate from (dep-)mix models
sp500 | Standard & Poor's 500 index
speed | Speed Accuracy Switching Data
standardError | Parameter standard errors
standardError-method | Parameter standard errors
stationary | Compute the stationary distribution of a transition probability matrix.
summary | Dependent Mixture Model Specifiction
summary-method | Dependent Mixture Model Specifiction
summary-method | Fit 'depmix' or 'mix' models
summary-method | Mixture Model Specifiction

## -- T --

transInit | Methods for creating depmix transition and initial probability models
transInit-class | Class "GLMresponse" and class "transInit"
transInit-method | Methods for creating depmix transition and initial probability models

## -- V --

vcov | Parameter standard errors
vcov-method | Parameter standard errors
viterbi | Viterbi algorithm for decoding the most likely state sequence
viterbi.fb | Viterbi algorithm for decoding the most likely state sequence
viterbi2 | Viterbi algorithm for decoding the most likely state sequence