| Name : R-HMMextra0s
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.12
| Date : 2024-06-14 11:14:09
|
| Group : Development/Libraries/Other
| Source RPM : R-HMMextra0s-1.1.0-lp153.1.12.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Hidden Markov Models with Extra Zeros
|
Description :
Contains functions for hidden Markov models with observations having
extra zeros as defined in the following two publications, Wang, T.,
Zhuang, J., Obara, K. and Tsuruoka, H. (2016) < doi:10.1111/rssc.12194>
Wang, T., Zhuang, J., Buckby, J., Obara, K. and Tsuruoka, H. (2018)
< doi:10.1029/2017JB015360>. The observed response variable is either
univariate or bivariate Gaussian conditioning on presence of events,
and extra zeros mean that the response variable takes on the value zero
if nothing is happening. Hence the response is modelled as a mixture
distribution of a Bernoulli variable and a continuous variable. That
is, if the Bernoulli variable takes on the value 1, then the response
variable is Gaussian, and if the Bernoulli variable takes on the value
0, then the response is zero too. This package includes functions for
simulation, parameter estimation, goodness-of-fit, the Viterbi
algorithm, and plotting the classified 2-D data. Some of the functions
in the package are based on those of the R package \'HiddenMarkov\' by
David Harte. This updated version has included an example dataset and R
code examples to show how to transform the data into the objects needed
in the main functions. We have also made changes to increase the speed
of some of the functions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
