[Depmix-commits] r524 - in pkg/depmixS4: . man
noreply at r-forge.r-project.org
noreply at r-forge.r-project.org
Fri Jun 15 16:51:13 CEST 2012
Author: ingmarvisser
Date: 2012-06-15 16:51:13 +0200 (Fri, 15 Jun 2012)
New Revision: 524
Modified:
pkg/depmixS4/NEWS
pkg/depmixS4/README
pkg/depmixS4/man/depmix.Rd
pkg/depmixS4/man/depmixS4-package.Rd
Log:
Added comments to NEWS and help files about missing values.
Modified: pkg/depmixS4/NEWS
===================================================================
--- pkg/depmixS4/NEWS 2012-06-15 14:37:52 UTC (rev 523)
+++ pkg/depmixS4/NEWS 2012-06-15 14:51:13 UTC (rev 524)
@@ -2,7 +2,8 @@
Major changes
- o Missing values for responses are now allowed.
+ o Missing values for responses are now allowed. Note that missing values
+ in covariates will cause errors.
Changes in depmixS4 version 1.1-0
Modified: pkg/depmixS4/README
===================================================================
--- pkg/depmixS4/README 2012-06-15 14:37:52 UTC (rev 523)
+++ pkg/depmixS4/README 2012-06-15 14:51:13 UTC (rev 524)
@@ -3,21 +3,23 @@
depmixS4 provides a framework for specifying and fitting hidden Markov
models. The observation densities use an interface to the glm
-distributions, most of which are now implemented. Besides these,
-observations can be modelled using the multinomial distribution with
-identity or logistic link function. The latter provides functionality for
-multinomial logistic responses with covariates. The transition matrix and
-the initial state probabilities are also modeled as multinomial logistics
-(or multinomials with identity link, which is the default when no
-covariates are present) with the possibility of including covariates.
+distributions, most of which are now implemented. The vignette that
+accompanies the package has a table with availabel response distributions
+Besides these, observations can be modelled using the multinomial
+distribution with identity or logistic link function. The latter provides
+functionality for multinomial logistic responses with covariates. The
+transition matrix and the initial state probabilities are also modeled as
+multinomial logistics (or multinomials with identity link, which is the
+default when no covariates are present) with the possibility of including
+covariates.
Optimization is by default done using the EM algorithm. When linear
constraints are included, package Rsolnp is used for optimization (there is
-also support for using Rdonlp2 as optimizer, see details below). New
+also support for using Rdonlp2 as optimizer, see USING RDONLP2 below). New
response distributions can be added by extending the response-class and
writing appropriate methods for it (dens, and getpars and setpars); an
example of this is provided on the ?makeDepmix help page. depmixS4 also
-fits latent class and mixture models, see ?mix for an example.
+fits latent class and mixture models, see ?mix for an example.
The latest development versions of depmixS4 (and depmix) can be found at:
https://r-forge.r-project.org/projects/depmix/
Modified: pkg/depmixS4/man/depmix.Rd
===================================================================
--- pkg/depmixS4/man/depmix.Rd 2012-06-15 14:37:52 UTC (rev 523)
+++ pkg/depmixS4/man/depmix.Rd 2012-06-15 14:51:13 UTC (rev 524)
@@ -18,7 +18,8 @@
\code{depmix} creates an object of class \code{depmix}, a dependent
mixture model, otherwise known as hidden Markov model. For a short
- description of the package see \code{\link{depmixS4}}.
+ description of the package see \code{\link{depmixS4}}. See the vignette
+ for an introduction to hidden Markov models and the package.
}
@@ -90,7 +91,7 @@
function. Its help page has examples of specifying a model with a
multivariate normal response, as well as an example of adding a
user-defined response model, in this case for the ex-gauss
- distribution.
+ distribution.
If \code{response} is a list of formulae, the \code{response}'s are
assumed to be independent conditional on the latent state.
@@ -115,6 +116,9 @@
The print function prints the formulae for the response, transition and
prior models along with their parameter values.
+ Missing values are allowed in the data, but missing values in the
+ covariates lead to errors.
+
}
\value{
Modified: pkg/depmixS4/man/depmixS4-package.Rd
===================================================================
--- pkg/depmixS4/man/depmixS4-package.Rd 2012-06-15 14:37:52 UTC (rev 523)
+++ pkg/depmixS4/man/depmixS4-package.Rd 2012-06-15 14:51:13 UTC (rev 524)
@@ -34,8 +34,8 @@
\tabular{ll}{
Package: \tab depmixS4\cr
Type: \tab Package\cr
- Version: \tab 1.1-0\cr
- Date: \tab 2011-00-01\cr
+ Version: \tab 1.2-0\cr
+ Date: \tab 2012-06-15\cr
License: \tab GPL\cr
}
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