
Package index
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as_seriation() - Coerce an R Object to a Seriation Order
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assess() - Statistical Significance of Seriation Solutions
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order_rows()order_columns() - Permutation Order
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permute() - Rearrange a Data Matrix
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refine() - Refine CA-based Seriation
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seriate_average() - Correspondence Analysis-Based Seriation
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seriate_rank() - Reciprocal Ranking Seriation
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aoristic() - Aoristic Analysis
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roc() - Rate of Change
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mcd() - Mean Ceramic Date
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density_event()density_accumulation() - Density of Event and Accumulation Dates
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event() - Event and Accumulation Dates
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summary(<EventDate>)coef(<EventDate>)fitted(<EventDate>)residuals(<EventDate>)sigma(<EventDate>)terms(<EventDate>) - Extract Event Date Model Results
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predict_event()predict_accumulation() - Predict Event and Accumulation Dates
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apportion() - Chronological Apportioning
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fit() - Frequency Increment Test
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plot(<AoristicSum>,<missing>)image(<AoristicSum>)plot(<RateOfChange>,<missing>) - Plot Aoristic Analysis
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plot(<EventDate>,<missing>) - Plot Event and Accumulation Dates
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plot(<IncrementTest>,<missing>) - Detection of Selective Processes
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plot_time() - Abundance vs Time Plot
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bootstrap(<EventDate>) - Bootstrap Event Dates
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bootstrap(<MeanDate>) - Bootstrap Mean Ceramic Dates
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jackknife(<EventDate>) - Jackknife Event Dates
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jackknife(<MeanDate>) - Jackknife Mean Ceramic Dates
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as.data.frame(<MeanDate>)as.data.frame(<AoristicSum>)as.data.frame(<IncrementTest>) - Coerce to a Data Frame
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weights(<AoristicSum>)weights(<CountApportion>) - Get or Set Parts of an Object
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time(<EventDate>)span(<AoristicSum>) - Sampling Times
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`[`(<MeanDate>)`[`(<IncrementTest>)`[[`(<PermutationOrder>,<ANY>,<missing>) - Extract or Replace Parts of an Object