Package: arkhaia 0.6.1

arkhaia: Archaeological and Historical Analysis

Tools for quantitative analysis related to archaeological and historical problems for irregularly spaced time indexed observations, toward evaluating linear dependence and homogeneity over time. Methods include effect sizes for measuring homogeneity, simulation from a truncated Poisson distribution for random right-censoring of count data, and least-squares spectral analysis by lowest frequency iteration for model fitting. Collins-Elliott (2026) <https://volweb.utk.edu/~scolli46/sce_aqysuppl2026.pdf>.

Authors:Stephen A. Collins-Elliott [aut, cre]

arkhaia_0.6.1.tar.gz
arkhaia_0.6.1.zip(r-4.7)arkhaia_0.6.1.zip(r-4.6)arkhaia_0.6.1.zip(r-4.5)
arkhaia_0.6.1.tgz(r-4.6-x86_64)arkhaia_0.6.1.tgz(r-4.6-arm64)arkhaia_0.6.1.tgz(r-4.5-x86_64)arkhaia_0.6.1.tgz(r-4.5-arm64)
arkhaia_0.6.1.tar.gz(r-4.7-arm64)arkhaia_0.6.1.tar.gz(r-4.7-x86_64)arkhaia_0.6.1.tar.gz(r-4.6-arm64)arkhaia_0.6.1.tar.gz(r-4.6-x86_64)
arkhaia_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
arkhaia/json (API)

# Install 'arkhaia' in R:
install.packages('arkhaia', repos = c('https://scollinselliott.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/scollinselliott/arkhaia/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

archaeologyrcppopenblascppopenmp

4.95 score 1 stars 464 downloads 23 exports 4 dependencies

Last updated from:06575fc25c. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK196
linux-devel-x86_64OK204
source / vignettesOK194
linux-release-arm64OK195
linux-release-x86_64OK168
macos-release-arm64OK169
macos-release-x86_64OK328
macos-oldrel-arm64OK152
macos-oldrel-x86_64OK303
windows-develOK163
windows-releaseOK159
windows-oldrelOK174
wasm-releaseOK148

Exports:CRhomogeneityhomogeneity_LOOlog_OR_pairLSSALSSA_LFILSSA_LFI_candidatesLSSA_LFI_compLSSA_LFI_epochLSSA_LFI_modelLSSA_LFI_multiLSSA_LFI_pairwiseLSSA_LFI_validatedpa_matrixpois_rcensrepartitiontrace_pairtrim_epochtrunc_poisVBVB_LOO_typeVB_pairVB_trunc_pois

Dependencies:rbibutilsRcppRcppArmadilloRdpack

Least Squares Spectral Analysis via Lowest Frequency Iteration
Introduction | Least Squares Spectral Analysis with Lowest Frequency Iteration | Model Selection | Evaluating Linear Dependence | Validation and Pairwise Validation via Attendant Series

Last update: 2026-05-07
Started: 2026-05-02

Measures of Homogeneity for Depositional Contexts
Introduction | Measures of Homogeneity | Count Data | Presence/Absence Data

Last update: 2026-05-01
Started: 2026-05-01

Measures of Homogeneity for Use Contexts

Last update: 2026-05-01
Started: 2026-05-01

Readme and manuals

Help Manual

Help pageTopics
Cressie-Read Power-Divergence StatisticCR CR.data.frame CR.matrix CR.table CR.xtabs
Homogeneity of Related Assemblages via Effect Sizehomogeneity homogeneity.effect_sizes
Leave-One-Out Routine for Homogeneity of Related Assemblageshomogeneity_LOO homogeneity_LOO.data.frame homogeneity_LOO.matrix homogeneity_LOO.table homogeneity_LOO.xtabs
Log Odds Ratio with Haldane-Anscombe's Correction Pairwise between Columnslog_OR_pair log_OR_pair.data.frame log_OR_pair.matrix log_OR_pair.table log_OR_pair.xtabs
Least Squares Spectral Analysis (LSSA)LSSA LSSA.data.frame LSSA.matrix
Least Squares Spectral Analysis via Lowest Frequency Iteration (LSSA-LFI)LSSA_LFI LSSA_LFI.data.frame LSSA_LFI.matrix
Linear Dependence of LSSA-LFI Candidate Models via AICLSSA_LFI_candidates LSSA_LFI_candidates.list
Partitioned LSSA-LFI Model Terms and AIC: Composite Number of ParametersLSSA_LFI_comp LSSA_LFI_comp.list
Period-Variable Pairwise Selection of Linearly Dependent LSSA-LFI ModelsLSSA_LFI_epoch LSSA_LFI_epoch.list
LSSA-LFI ModelLSSA_LFI_model LSSA_LFI_model.data.frame LSSA_LFI_model.matrix
Partitioned LSSA-LFI Model Terms and AICLSSA_LFI_multi LSSA_LFI_multi.list
Pairwise Selection of Linearly Dependent LSSA-LFI ModelsLSSA_LFI_pairwise LSSA_LFI_pairwise.list
Validated Linear Dependence via LSSA-LFILSSA_LFI_validated LSSA_LFI_validated.list
Presence-Absence Matrixpa_matrix pa_matrix.data.frame pa_matrix.matrix pa_matrix.table pa_matrix.xtabs
Least Squares Fit of Poisson Distribution for Random Right-Censored Datapois_rcens pois_rcens.data.frame pois_rcens.matrix pois_rcens.table pois_rcens.xtabs
Repartition (Group) Datasetsrepartition repartition.list
Trace Coefficient Pairwise between Columnstrace_pair trace_pair.data.frame trace_pair.matrix trace_pair.table trace_pair.xtabs
Trim to Epochtrim_epoch trim_epoch.data.frame trim_epoch.matrix
Resampled Contingency Table via a Truncated Poisson for Random Right-Censored Datatrunc_pois trunc_pois.data.frame trunc_pois.matrix trunc_pois.table trunc_pois.xtabs
Bias-Corrected Cramer's VVB VB.data.frame VB.matrix VB.table VB.xtabs
Leave-One-Out Type Routine for Pairwise Effect Sizes of Archaeological ContextsVB_LOO_type VB_LOO_type.data.frame VB_LOO_type.matrix VB_LOO_type.table VB_LOO_type.xtabs
Bias-Corrected Cramer's V Pairwise between ColumnsVB_pair VB_pair.data.frame VB_pair.matrix VB_pair.table VB_pair.xtabs
Bias-Corrected Cramer's V for Random Right-Censored DataVB_trunc_pois VB_trunc_pois.data.frame VB_trunc_pois.matrix VB_trunc_pois.table VB_trunc_pois.xtabs