Mon, 25 Nov 2024

Package hockeystick updated to version 0.8.5 with previous version 0.8.4 dated 2024-03-10

Title: Download and Visualize Essential Climate Change Data
Description: Provides easy access to essential climate change datasets to non-climate experts. Users can download the latest raw data from authoritative sources and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric CO2, methane, emissions, instrumental and proxy temperature records, sea levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources include: NOAA Mauna Loa Laboratory <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center <https://nsidc.org/home>, CSIRO <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>, NOAA Laboratory for Satellite Altimetry <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT Atlantic Hurricane Database <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon dio [...truncated...]
Author: Hernando Cortina [aut, cre]
Maintainer: Hernando Cortina <hch@alum.mit.edu>

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Package eva3dm updated to version 0.99.1 with previous version 0.99 dated 2024-11-21

Title: Evaluation of 3D Meteorological and Air Quality Models
Description: Provides tools for post-process, evaluate and visualize results from 3d Meteorological and Air Quality models against point observations (i.e. surface stations) and grid (i.e. satellite) observations.
Author: Daniel Schuch [aut, cre]
Maintainer: Daniel Schuch <underschuch@gmail.com>

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Package dm updated to version 1.0.11 with previous version 1.0.10 dated 2024-01-21

Title: Relational Data Models
Description: Provides tools for working with multiple related tables, stored as data frames or in a relational database. Multiple tables (data and metadata) are stored in a compound object, which can then be manipulated with a pipe-friendly syntax.
Author: Tobias Schieferdecker [aut], Kirill Mueller [aut, cre] , Antoine Fabri [ctb], Darko Bergant [aut], Katharina Brunner [ctb], James Wondrasek [ctb], Indrajeet Patil [ctb] , Maelle Salmon [ctb] , energie360 AG [fnd], cynkra GmbH [fnd, cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>

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Package BEKKs updated to version 1.4.5 with previous version 1.4.4 dated 2024-01-14

Title: Multivariate Conditional Volatility Modelling and Forecasting
Description: Methods and tools for estimating, simulating and forecasting of so-called BEKK-models (named after Baba, Engle, Kraft and Kroner) based on the fast Berndt–Hall–Hall–Hausman (BHHH) algorithm described in Hafner and Herwartz (2008) <doi:10.1007/s00184-007-0130-y>. For an overview, we refer the reader to Fülle et al. (2024) <doi:10.18637/jss.v111.i04>.
Author: Markus J. Fuelle [aut, cre], Alexander Lange [aut], Christian M. Hafner [aut], Helmut Herwartz [aut]
Maintainer: Markus J. Fuelle <markus.fuelle@gmail.com>

Diff between BEKKs versions 1.4.4 dated 2024-01-14 and 1.4.5 dated 2024-11-25

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Package saeMSPE updated to version 1.4 with previous version 1.3 dated 2024-11-18

Title: Computing MSPE Estimates in Small Area Estimation
Description: Compute various common mean squared predictive error (MSPE) estimators, as well as several existing variance component predictors as a byproduct, for FH model (Fay and Herriot, 1979) and NER model (Battese et al., 1988) in small area estimation.
Author: Peiwen Xiao [aut, cre], Xiaohui Liu [aut], Yu Zhang [aut], Yuzi Liu [aut], Jiming Jiang [ths]
Maintainer: Peiwen Xiao <2569613200@qq.com>

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Package r2resize updated to version 1.9.2 with previous version 1.9.1 dated 2024-07-29

Title: In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Description: Automatic resizing toolbar for containers, images and tables. Various resizer or expandable container functionalities are also included. Most suitable to include in 'shiny', 'markdown' and 'quarto' documents.
Author: Obinna Obianom [aut, cre]
Maintainer: Obinna Obianom <idonshayo@gmail.com>

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Package beyondWhittle updated to version 1.3.0 with previous version 1.2.1 dated 2024-03-13

Title: Bayesian Spectral Inference for Time Series
Description: Implementations of Bayesian parametric, nonparametric and semiparametric procedures for univariate and multivariate time series. The package is based on the methods presented in C. Kirch et al (2018) <doi:10.1214/18-BA1126>, A. Meier (2018) <https://opendata.uni-halle.de//handle/1981185920/13470> and Y. Tang et al (2023) <doi:10.48550/arXiv.2303.11561>. It was supported by DFG grants KI 1443/3-1 and KI 1443/3-2.
Author: Alexander Meier [aut], Claudia Kirch [aut], Matthew C. Edwards [aut], Renate Meyer [aut, cre], Yifu Tang [aut]
Maintainer: Renate Meyer <renate.meyer@auckland.ac.nz>

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Package dismo updated to version 1.3-16 with previous version 1.3-14 dated 2023-05-21

Title: Species Distribution Modeling
Description: Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
Author: Robert J. Hijmans [cre, aut] , Steven Phillips [aut], John Leathwick [aut], Jane Elith [aut]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

Diff between dismo versions 1.3-14 dated 2023-05-21 and 1.3-16 dated 2024-11-25

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Package daltoolbox updated to version 1.1.727 with previous version 1.0.787 dated 2024-11-03

Title: Leveraging Experiment Lines to Data Analytics
Description: The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_2 [...truncated...]
Author: Eduardo Ogasawara [aut, ths, cre] , Antonio Castro [aut, ctb], Heraldo Borges [aut, ths], Janio Lima [aut, ths], Lucas Tavares [aut, ths], Diego Carvalho [aut, ths], Eduardo Bezerra [aut, ths], Joel Santos [aut, ths], Rafaelli Coutinho [aut, ths], Fe [...truncated...]
Maintainer: Eduardo Ogasawara <eogasawara@ieee.org>

Diff between daltoolbox versions 1.0.787 dated 2024-11-03 and 1.1.727 dated 2024-11-25

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 MD5                                 |   65 +++++++++++++++++++++++------
 NAMESPACE                           |   45 ++++++++++++++++++++
 R/cla_tune.R                        |    3 -
 R/clu_tune.R                        |    3 -
 R/globals.R                         |    2 
 R/reg_tune.R                        |    3 -
 R/trans_aae_encode.R                |only
 R/trans_aae_encode_decode.R         |only
 R/trans_c2den_encode.R              |only
 R/trans_c2den_encode_decode.R       |only
 R/trans_cae2d_encode.R              |only
 R/trans_cae2d_encode_decode.R       |only
 R/trans_cae_encode.R                |only
 R/trans_cae_encode_decode.R         |only
 R/trans_dns_encode.R                |only
 R/trans_dns_encode_decode.R         |only
 R/trans_lae_encode.R                |only
 R/trans_lae_encode_decode.R         |only
 R/trans_sae_encode.R                |only
 R/trans_sae_encode_decode.R         |only
 R/trans_sample_strat.R              |    7 ---
 R/trans_van_enc_decode.R            |    2 
 R/trans_van_encode.R                |    2 
 R/trans_varae_encode.R              |only
 R/trans_varae_encode_decode.R       |only
 README.md                           |   12 ++---
 inst/python/adv_autoencoder.py      |only
 inst/python/autoencoder.py          |   79 ++++++++++++++++++++++++------------
 inst/python/conv2d_autoencoder.py   |only
 inst/python/conv2den_autoencoder.py |only
 inst/python/conv_autoencoder.py     |only
 inst/python/dns_autoencoder.py      |only
 inst/python/lstm_autoencoder.py     |only
 inst/python/sae_autoencoder.py      |only
 inst/python/ts_conv1d.py            |    2 
 inst/python/ts_lstm.py              |    4 -
 inst/python/varae_autoencoder.py    |only
 man/aae_encode.Rd                   |only
 man/aae_encode_decode.Rd            |only
 man/cae2d_encode_decode.Rd          |only
 man/cae2den_encode.Rd               |only
 man/cae2den_encode_decode.Rd        |only
 man/cae_encode.Rd                   |only
 man/cae_encode_decode.Rd            |only
 man/dns_encode.Rd                   |only
 man/dns_encode_decode.Rd            |only
 man/lae_encode.Rd                   |only
 man/lae_encode_decode.Rd            |only
 man/sae_encode.Rd                   |only
 man/sae_encode_decode.Rd            |only
 man/varae_encode.Rd                 |only
 man/varae_encode_decode.Rd          |only
 53 files changed, 168 insertions(+), 75 deletions(-)

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