march.Dataset-class: Dataset for march package.
In march: Markov Chains

Description Details

This class contains several discrete-valued time series, in a dataset. It contains for each sequence, its length and weights.

The internal representation uses factor-like representation. The integer values correspond to the words stored into the dictionary vector. Therefor, they are in the interval [1,K].

@section Slots:

yRaw:: A matrix of character string, describing the content of the original dataset or file, if any.
y:: A list of vector of integer representing the each discrete-valued time series of the dataset, as can be used by the models.
T:: A vector of integer values representing the length of each sequence.
weights:: A vector of numeric values representing the weight of each sequence.
K:: A integer value representing the number of possible ouput and the number of words stored into the dictionary.
N:: A integer value representing the number of sequence.
Dictionary:: A vector of character string representing the translation between the yRaw and y data. Each character string is stored according to the integer which represents it into y.
cov:: A matrix of integer representing the covariates.
Kcov:: A vector of integer representing the number of possible output for each covariate.
Ncov:: A integer value representing the number of covariates.