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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plot(<AoristicSum>,<missing>)
image(<AoristicSum>)
plot(<RateOfChange>,<missing>)
- Plot Aoristic Analysis
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roc()
- Rate of Change
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mcd()
- Mean Ceramic Date
-
bootstrap(<MeanDate>)
jackknife(<MeanDate>)
simulate(<MeanDate>)
- Resample Mean Ceramic Dates
-
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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plot(<EventDate>,<missing>)
- Plot Event and Accumulation Dates
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predict_event()
predict_accumulation()
- Predict Event and Accumulation Dates
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jackknife(<EventDate>)
bootstrap(<EventDate>)
- Resample Event Dates
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apportion()
- Chronological Apportioning
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fit()
- Frequency Increment Test
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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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as.data.frame(<MeanDate>)
as.data.frame(<AoristicSum>)
as.data.frame(<IncrementTest>)
- Coerce to a Data Frame
-
weights(<AoristicSum>)
weights(<CountApportion>)
- Get or Set Parts of an Object
-
time(<EventDate>)
span(<AoristicSum>)
- Sampling Times
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`[`(<MeanDate>)
`[`(<IncrementTest>)
`[[`(<PermutationOrder>,<ANY>,<missing>)
- Extract or Replace Parts of an Object