This function returns a tibble containing the sample sequences, their frequencies and the estimated transition probabilities.
freqTab(S, j = NULL, A, countsTab, complete = TRUE)A tibble where each row represents a sequence of elements from A.
The initial columns display each sequence symbol separated into columns
corresponding to their time indexes. The remaining columns show the sample
frequencies of the sequences and the MLE (Maximum Likelihood Estimator)
of the transition probabilities.
A numeric vector of positive integers or NULL. Represents a set
of past lags that must be present within the columns of the countsTab
argument and are to be considered while estimating the transition probabilities.
Both S and j cannot be NULL at the same time.
An integer or NULL. Typically represents a lag j in the
\(complement\) of S. Both S and j cannot be NULL
at the same time. Both S and j cannot be NULL at the same
time. See Details for further information.
A vector with nonnegative integers. Must have at least two different entries.
A represents the state space.
A tibble or a data frame with all sequences of length d+1 that
appear in the sample, and their absolute frequency. This tibble is typically
generated by the function countsTab(). If using a custom data frame not
generated by countsTab(), make sure its format and column names match the
expected structure; otherwise, errors may occur in freqTab().
Logical. If TRUE all sequences that did not appear in the
sample will be included in the output with frequency equal to 0 .
The parameters S and j determine which columns of countsTab
are retained in the output. Specifying a lag j is optional. All lags can
be specified via S, while leaving j = NULL (default). The output
remains the same as when specifying S and j separately. The
inclusion of j as a parameter improves clarity within the package's
algorithms. Note that j cannot be an element of S.
freqTab(S=c(1,4),j=2,A=c(1,2,3),countsTab = countsTab(testChains[,2],d=5))
#Equivalent to freqTab(S=c(1,2,4),j=NULL,A=c(1,2,3),countsTab = countsTab(testChains[,2],d=5))
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