Package index
-
event()
summary(<EventDate>)
- Event and Accumulation Dates
-
mcd()
- Mean Ceramic Date
-
predict_event()
predict_accumulation()
- Predict Event and Accumulation Dates
-
aoristic()
- Aoristic Analysis
-
apportion()
- Chronological Apportioning
-
fit()
- Frequency Increment Test
-
roc()
- Rate of Change
-
permute()
get_order()
- Rearranges a Data Matrix
-
seriate_average()
- Correspondence Analysis-Based Seriation
-
seriate_rank()
- Reciprocal Ranking Seriation
-
seriate_refine()
hist(<RefinePermutationOrder>)
- Refine CA-based Seriation
-
jackknife(<EventDate>)
bootstrap(<EventDate>)
- Resample Event Dates
-
bootstrap(<MeanDate>)
jackknife(<MeanDate>)
simulate(<MeanDate>)
- Resample Mean Ceramic Dates
-
plot(<AoristicSum>,<missing>)
image(<AoristicSum>)
plot(<RateOfChange>,<missing>)
- Plot Aoristic Analysis
-
plot(<EventDate>,<missing>)
- Event Plot
-
plot(<IncrementTest>,<missing>)
- Detection of Selective Processes
-
plot_time()
- Abundance vs Time Plot
-
as.data.frame(<MeanDate>)
as.data.frame(<AoristicSum>)
as.data.frame(<IncrementTest>)
- Coerce to a Data Frame
-
coef(<EventDate>)
fitted(<EventDate>)
residuals(<EventDate>)
sigma(<EventDate>)
terms(<EventDate>)
- Extract Model Results
-
weights(<AoristicSum>)
weights(<CountApportion>)
- Get or Set Parts of an Object
-
time(<EventDate>)
- Sampling Times
-
`[`(<MeanDate>)
`[`(<IncrementTest>)
`[[`(<PermutationOrder>,<ANY>,<missing>)
- Extract or Replace Parts of an Object