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Acycle v2.7
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@mingsongli mingsongli released this 10 Oct 08:52
· 14 commits to master since this release
v2.7.0.1
7792bcc

Version: Acycle_v2.7
Date : Jun 17, 2023 - Oct 10, 2023
By : Mingsong Li (Peking University)

1. COCO: Save the correct COCO figure; use the invpretile function to calculate percentiles;
2. eCOCO: Save data in an Excel file;
3. Curve Fitting: estimate the optimal span using the Generalized Cross-Validation (GCV) method;
4. Japanese version is ready (Thank Prof. Masayuki Ikeda);
5. CENOGRID (Westerhold et al., 2020, Science, doi: 10.1126/science.aba6853);
6. Dynamic filter: bug-free;
7. Insolation/astronomical solutions: debug. Start from 0. Thanks, Lucas Lourens!
8. Undatable: Age-depth modeling in Matlab.
    Thank Lougheed, B. C. and Obrochta, S. P. for permission.
    Reference:
    Lougheed, B. C. and Obrochta, S. P. (2019), A rapid, deterministic 
    age‐depth modelling routine for geological sequences with inherent 
    depth uncertainty. Paleoceanography and Paleoclimatology. Accepted 
    Author Manuscript. doi:10.1029/2018PA003457
9. Prof. Graham Weedon's SWA method included! Thank Graham!
            The spectrum is derived from a periodogram based on the Lomb-Scargle algorithm - allowing analysis of data with varying sample intervals in time_ml/distance or data with a fixed sample interval but data missing. Weedon et al. (2019) introduced the use of SWA as a non-parametric method for locating the spectral background. false_ml Discovery rates (FDR) are designed to control type I errors (false_ml positive detection of significant spectral peaks) while minimizing type II errors (false_ml rejection of spectral peaks as significant). Weedon (2020) illustrated multiple cases from cyclostratigraphy using SWA and FDR. Weedon (2022) investigated the associated false_ml detection rates.
10. MTM + SWA method (NEW);
11. Principal Component: language debug.
Assets 2
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