march.Dataset-class: Dataset for march package.

In march: Markov Chains

Description

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

Details

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.

@seealso march.dataset.loadFromFile, march.dataset.loadFromDataFrame @author Ogier Maitre

march documentation built on Jan. 13, 2021, 10:50 p.m.