Introduction | Least Squares Spectral Analysis with Lowest Frequency Iteration | Model Selection | Evaluating Linear Dependence | Validation and Pairwise Validation via Attendant Series
Package: arkhaia 0.6.8
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:
arkhaia_0.6.8.tar.gz
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arkhaia_0.6.8.tgz(r-4.6-x86_64)arkhaia_0.6.8.tgz(r-4.6-arm64)arkhaia_0.6.8.tgz(r-4.5-x86_64)arkhaia_0.6.8.tgz(r-4.5-arm64)
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arkhaia_0.6.8.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:
archaeologyrcppopenblascppopenmp
Last updated from:bfbfb75f73. Checks:9 OK, 6 WARNING. Indexed: yes.
A new build is currently in progress.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 152 | ||
| linux-devel-x86_64 | OK | 163 | ||
| source / vignettes | OK | 235 | ||
| linux-release-arm64 | OK | 140 | ||
| linux-release-x86_64 | OK | 155 | ||
| macos-release-arm64 | WARNING | 169 | ||
| macos-release-x86_64 | WARNING | 277 | ||
| macos-oldrel-arm64 | WARNING | 214 | ||
| macos-oldrel-x86_64 | WARNING | 253 | ||
| windows-devel-arm64 | WARNING | 362 | ||
| windows-devel-x86_64 | OK | 198 | ||
| windows-release-arm64 | WARNING | 366 | ||
| windows-release-x86_64 | OK | 221 | ||
| windows-oldrel-x86_64 | OK | 159 | ||
| wasm-release | OK | 117 |
Exports:CRhomogeneityhomogeneity_LOOidt_ksidt_wassks_arkhaialog_OR_pairLSSALSSA_LFILSSA_LFI_candidatesLSSA_LFI_compLSSA_LFI_epochLSSA_LFI_modelLSSA_LFI_multiLSSA_LFI_pairwiseLSSA_LFI_validatedpa_matrixpois_rcensrepartitionth_idt_ksth_idt_wasstrace_pairtrim_epochtrunc_poisVBVB_LOO_typeVB_pairVB_trunc_poiswass_R1
Dependencies:rbibutilsRcppRcppArmadilloRdpack
Least Squares Spectral Analysis via Lowest Frequency Iteration
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 page | Topics |
|---|---|
| Cressie-Read Power-Divergence Statistic | CR CR.data.frame CR.matrix CR.table CR.xtabs |
| Homogeneity of Related Assemblages via Effect Size | homogeneity homogeneity.effect_sizes |
| Leave-One-Out Routine for Homogeneity of Related Assemblages | homogeneity_LOO homogeneity_LOO.data.frame homogeneity_LOO.matrix homogeneity_LOO.table homogeneity_LOO.xtabs |
| Integration in Distribution over Time (KS) | idt_ks idt_ks.list idt_ks.numeric |
| Integration in Distribution over Time (Wasserstein) | idt_wass idt_wass.list idt_wass.numeric |
| Kolmogorov-Smirnov Distance | ks_arkhaia ks_arkhaia.list ks_arkhaia.numeric |
| Log Odds Ratio with Haldane-Anscombe's Correction Pairwise between Columns | log_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 AIC | LSSA_LFI_candidates LSSA_LFI_candidates.list |
| Partitioned LSSA-LFI Model Terms and AIC: Composite Number of Parameters | LSSA_LFI_comp LSSA_LFI_comp.list |
| Period-Variable Pairwise Selection of Linearly Dependent LSSA-LFI Models | LSSA_LFI_epoch LSSA_LFI_epoch.list |
| LSSA-LFI Model | LSSA_LFI_model LSSA_LFI_model.data.frame LSSA_LFI_model.matrix |
| Partitioned LSSA-LFI Model Terms and AIC | LSSA_LFI_multi LSSA_LFI_multi.list |
| Pairwise Selection of Linearly Dependent LSSA-LFI Models | LSSA_LFI_pairwise LSSA_LFI_pairwise.list |
| Validated Linear Dependence via LSSA-LFI | LSSA_LFI_validated LSSA_LFI_validated.list |
| Presence-Absence Matrix | pa_matrix pa_matrix.data.frame pa_matrix.matrix pa_matrix.table pa_matrix.xtabs |
| Least Squares Fit of Poisson Distribution for Random Right-Censored Data | pois_rcens pois_rcens.data.frame pois_rcens.matrix pois_rcens.table pois_rcens.xtabs |
| Repartition (Group) Datasets | repartition repartition.list |
| Thresholds of Integration in Distribution over Time (KS) | th_idt_ks th_idt_ks.list th_idt_ks.numeric |
| Thresholds of Integration in Distribution over Time (Wasserstein) | th_idt_wass th_idt_wass.list th_idt_wass.numeric |
| Trace Coefficient Pairwise between Columns | trace_pair trace_pair.data.frame trace_pair.matrix trace_pair.table trace_pair.xtabs |
| Trim to Epoch | trim_epoch trim_epoch.data.frame trim_epoch.matrix |
| Resampled Contingency Table via a Truncated Poisson for Random Right-Censored Data | trunc_pois trunc_pois.data.frame trunc_pois.matrix trunc_pois.table trunc_pois.xtabs |
| Bias-Corrected Cramer's V | VB VB.data.frame VB.matrix VB.table VB.xtabs |
| Leave-One-Out Type Routine for Pairwise Effect Sizes of Archaeological Contexts | VB_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 Columns | VB_pair VB_pair.data.frame VB_pair.matrix VB_pair.table VB_pair.xtabs |
| Bias-Corrected Cramer's V for Random Right-Censored Data | VB_trunc_pois VB_trunc_pois.data.frame VB_trunc_pois.matrix VB_trunc_pois.table VB_trunc_pois.xtabs |
| Wasserstein R1 Distance betwen Two e.c.d.f. | wass_R1 wass_R1.list wass_R1.numeric |