Mon, 12 Dec 2022

Package triangle updated to version 1.0 with previous version 0.12 dated 2019-02-14

Title: Distribution Functions and Parameter Estimates for the Triangle Distribution
Description: Provides the "r, q, p, and d" distribution functions for the triangle distribution. Also includes maximum likelihood estimation of parameters.
Author: Rob Carnell [aut, cre]
Maintainer: Rob Carnell <bertcarnell@gmail.com>

Diff between triangle versions 0.12 dated 2019-02-14 and 1.0 dated 2022-12-12

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Package SSNbayes updated to version 0.0.2 with previous version 0.0.1 dated 2021-10-22

Title: Bayesian Spatio-Temporal Analysis in Stream Networks
Description: Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2021)."Bayesian spatio-temporal models for stream networks" <arXiv:2103.03538>. In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.
Author: Edgar Santos-Fernandez [aut, cre, cph]
Maintainer: Edgar Santos-Fernandez <santosfe@qut.edu.au>

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Package epiR updated to version 2.0.54 with previous version 2.0.53 dated 2022-10-31

Title: Tools for the Analysis of Epidemiological Data
Description: Tools for the analysis of epidemiological and surveillance data. Contains functions for directly and indirectly adjusting measures of disease frequency, quantifying measures of association on the basis of single or multiple strata of count data presented in a contingency table, computation of confidence intervals around incidence risk and incidence rate estimates and sample size calculations for cross-sectional, case-control and cohort studies. Surveillance tools include functions to calculate an appropriate sample size for 1- and 2-stage representative freedom surveys, functions to estimate surveillance system sensitivity and functions to support scenario tree modelling analyses.
Author: Mark Stevenson <mark.stevenson1@unimelb.edu.au> and Evan Sergeant <evansergeant@gmail.com> with contributions from Telmo Nunes, Cord Heuer, Jonathon Marshall, Javier Sanchez, Ron Thornton, Jeno Reiczigel, Jim Robison-Cox, Paola Sebastiani, Peter Soly [...truncated...]
Maintainer: Mark Stevenson <mark.stevenson1@unimelb.edu.au>

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Package rSRD updated to version 0.1.5 with previous version 0.1.4 dated 2022-12-09

Title: Sum of Ranking Differences Statistical Test
Description: We provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the [...truncated...]
Author: Jochen Staudacher [aut, cph, cre], Balazs R. Sziklai [aut, cph], Linus Olsson [aut, cph], Dennis Horn [ctb], Alexander Pothmann [ctb], Ali, Tugay Sen [ctb]
Maintainer: Jochen Staudacher <jochen.staudacher@hs-kempten.de>

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Package pompp updated to version 0.1.3 with previous version 0.1.2 dated 2022-10-27

Title: Presence-Only for Marked Point Process
Description: Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>, this methodology expands the idea by including Marks in the point process. Using efficient 'C++' code, the estimation is possible and made faster with 'OpenMP' <https://www.openmp.org/> enabled computers. This package was developed under the project PTDC/MAT-STA/28243/2017, supported by Portuguese funds through the Portuguese Foundation for Science and Technology (FCT).
Author: Guido Alberti Moreira [cre, aut]
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>

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Package openai updated to version 0.3.0 with previous version 0.2.0 dated 2022-12-04

Title: R Wrapper for OpenAI API
Description: An R wrapper of OpenAI API endpoints (see <https://beta.openai.com/docs/introduction> for details). This package covers Models, Completions, Edits, Images, Embeddings, Files, Fine-tunes, Moderations, and legacy Engines endpoints.
Author: Iegor Rudnytskyi [aut, cre]
Maintainer: Iegor Rudnytskyi <iegor.rudnytskyi@gmail.com>

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Package PDE updated to version 1.4.2 with previous version 1.4.0 dated 2022-03-11

Title: Extract Tables and Sentences from PDFs with User Interface
Description: The PDE (Pdf Data Extractor) allows the extraction of information and tables optionally based on search words from PDF (Portable Document Format) files and enables the visualization of the results, both by providing a convenient user-interface.
Author: Erik Stricker [aut, cre]
Maintainer: Erik Stricker <erik.stricker@gmx.com>

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Package statnipokladna updated to version 0.7.2 with previous version 0.7.0 dated 2021-05-25

Title: Use Data from the Czech Public Finance Database
Description: Get programmatic access to data from the Czech public budgeting and accounting database, Státní pokladna <https://monitor.statnipokladna.cz/>.
Author: Petr Bouchal [aut, cre]
Maintainer: Petr Bouchal <pbouchal@gmail.com>

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Package mapsf updated to version 0.6.1 with previous version 0.5.0 dated 2022-05-30

Title: Thematic Cartography
Description: Create and integrate thematic maps in your workflow. This package helps to design various cartographic representations such as proportional symbols, choropleth or typology maps. It also offers several functions to display layout elements that improve the graphic presentation of maps (e.g. scale bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base' graphics.
Author: Timothee Giraud [cre, aut] , Diego Hernangomez [ctb] , Hugues Pecout [ctb], Ronan Ysebaert [ctb], Ian Fellows [cph] , Jim Lemon [cph] , Florian Zenoni [cph]
Maintainer: Timothee Giraud <timothee.giraud@cnrs.fr>

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Package ForestGapR (with last version 0.1.6) was removed from CRAN

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Package Biolinv (with last version 0.1-3) was removed from CRAN

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Package foieGras (with last version 0.7-6) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-04-26 0.7-6
2021-04-24 0.7-5
2020-07-22 0.6-9
2020-06-18 0.6-7
2019-10-07 0.4.0
2019-07-03 0.2.2
2019-04-04 0.2.1
2019-04-02 0.2.0

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Package IDSpatialStats (with last version 0.3.12) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-08-09 0.3.12

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Package trip (with last version 1.8.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-03-16 1.8.5
2020-10-28 1.8.0
2020-06-15 1.7.1
2019-04-15 1.6.0
2016-10-18 1.5.0
2015-05-21 1.1-21
2014-11-05 1.1-19
2014-09-23 1.1-18
2013-08-25 1.1-17
2013-08-07 1.1-16
2013-06-18 1.1-15
2013-05-16 1.1-14
2012-11-06 1.1-12
2011-05-03 1.1-10
2010-09-29 1.1-9
2010-09-27 1.1-8
2010-06-03 1.1-6
2009-12-06 1.1-4
2009-10-12 1.1-3
2008-11-10 1.1-2
2008-02-05 1.1-1
2008-01-19 1.1-0
2007-07-23 1.0-4
2007-03-16 1.0-3

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Package BDgraph updated to version 2.71 with previous version 2.70 dated 2022-10-13

Title: Bayesian Structure Learning in Graphical Models using Birth-Death MCMC
Description: Statistical tools for Bayesian structure learning in undirected graphical models for continuous, ordinal/discrete/count, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Mohammadi and Wit (2015) <doi:10.1214/14-BA889>, Mohammadi et al. (2021) <doi:10.1080/01621459.2021.1996377>, and Dobra and Mohammadi (2018) <doi:10.1214/18-AOAS1164>.
Author: Reza Mohammadi [aut, cre] , Ernst Wit [aut] , Adrian Dobra [ctb]
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between BDgraph versions 2.70 dated 2022-10-13 and 2.71 dated 2022-12-12

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 BDgraph-2.71/BDgraph/R/bdgraph.sim.R                    |   10 +
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 BDgraph-2.71/BDgraph/R/compare.R                        |   25 ++--
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 BDgraph-2.71/BDgraph/R/plotroc.R                        |   89 ++++++++--------
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 BDgraph-2.71/BDgraph/R/roc.R                            |   27 ++--
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 45 files changed, 439 insertions(+), 384 deletions(-)

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New package TIMP with initial version 1.13.6
Package: TIMP
Title: Fitting Separable Nonlinear Models in Spectroscopy and Microscopy
Version: 1.13.6
Description: A problem solving environment (PSE) for fitting separable nonlinear models to measurements arising in physics and chemistry experiments, as described by Mullen & van Stokkum (2007) <doi:10.18637/jss.v018.i03> for its use in fitting time resolved spectroscopy data, and as described by Laptenok et al. (2007) <doi:10.18637/jss.v018.i08> for its use in fitting Fluorescence Lifetime Imaging Microscopy (FLIM) data, in the study of Förster Resonance Energy Transfer (FRET). `TIMP` also serves as the computation backend for the `GloTarAn` software, a graphical user interface for the package, as described in Snellenburg et al. (2012) <doi:10.18637/jss.v049.i03>.
License: GPL (>= 2)
URL: https://github.com/glotaran/TIMP
BugReports: https://github.com/glotaran/TIMP/issues
Depends: fields (>= 4.1), methods, R (>= 2.10.0)
Imports: colorspace, deSolve, gclus, gplots, graphics, grDevices, minpack.lm (>= 1.1-1), nnls (>= 1.1), splines, stats, utils
Encoding: UTF-8
Language: en-US
NeedsCompilation: yes
Packaged: 2022-12-12 02:47:02 UTC; jsnel
Author: Katharine M. Mullen [aut] , Joris Snellenburg [cre, ctb] , Sergey P. Laptenok [ctb], David Nicolaides [ctb], Ivo H.M. van Stokkum [aut]
Maintainer: Joris Snellenburg <j.snellenburg@vu.nl>
Repository: CRAN
Date/Publication: 2022-12-12 13:10:02 UTC

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Package seqHMM updated to version 1.2.3 with previous version 1.2.2 dated 2022-11-30

Title: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
Description: Designed for fitting hidden (latent) Markov models and mixture hidden Markov models for social sequence data and other categorical time series. Also some more restricted versions of these type of models are available: Markov models, mixture Markov models, and latent class models. The package supports models for one or multiple subjects with one or multiple parallel sequences (channels). External covariates can be added to explain cluster membership in mixture models. The package provides functions for evaluating and comparing models, as well as functions for visualizing of multichannel sequence data and hidden Markov models. Models are estimated using maximum likelihood via the EM algorithm and/or direct numerical maximization with analytical gradients. All main algorithms are written in C++ with support for parallel computation. Documentation is available via several vignettes in this page, and the paper by Helske and Helske (2019, <doi:10.18637/jss.v088.i03>).
Author: Jouni Helske [aut, cre] , Satu Helske [aut]
Maintainer: Jouni Helske <jouni.helske@iki.fi>

Diff between seqHMM versions 1.2.2 dated 2022-11-30 and 1.2.3 dated 2022-12-12

 DESCRIPTION                       |   10 
 MD5                               |   14 
 NEWS.md                           |    5 
 R/SSPlotter.R                     |   16 
 inst/doc/seqHMM.pdf               |   38 -
 inst/doc/seqHMM_algorithms.pdf    |binary
 inst/doc/seqHMM_estimation.pdf    |binary
 inst/doc/seqHMM_visualization.pdf |  906 ++++++++++++++++++--------------------
 8 files changed, 496 insertions(+), 493 deletions(-)

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New package BSGW with initial version 0.9.4
Package: BSGW
Title: Bayesian Survival Model with Lasso Shrinkage Using Generalized Weibull Regression
Version: 0.9.4
Date: 2022-12-12
Author: Alireza S. Mahani, Mansour T.A. Sharabiani
Maintainer: Alireza S. Mahani <alireza.s.mahani@gmail.com>
Description: Bayesian survival model using Weibull regression on both scale and shape parameters. Dependence of shape parameter on covariates permits deviation from proportional-hazard assumption, leading to dynamic - i.e. non-constant with time - hazard ratios between subjects. Bayesian Lasso shrinkage in the form of two Laplace priors - one for scale and one for shape coefficients - allows for many covariates to be included. Cross-validation helper functions can be used to tune the shrinkage parameters. Monte Carlo Markov Chain (MCMC) sampling using a Gibbs wrapper around Radford Neal's univariate slice sampler (R package MfUSampler) is used for coefficient estimation.
License: GPL (>= 2)
Imports: foreach, doParallel, survival, MfUSampler, methods
NeedsCompilation: no
Repository: CRAN
Packaged: 2022-12-12 11:55:08 UTC; ec2-user
Date/Publication: 2022-12-12 13:10:08 UTC

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Package spatstat.core (with last version 2.4-4) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-05-18 2.4-4
2022-03-31 2.4-2
2022-02-15 2.4-0
2021-11-26 2.3-2
2021-11-02 2.3-1
2021-07-16 2.3-0
2021-06-17 2.2-0
2021-04-18 2.1-2
2021-03-23 2.0-0
2021-02-01 1.65-5
2021-01-22 1.65-0

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New package swipeR with initial version 0.1.0
Package: swipeR
Title: Carousels using the 'JavaScript' Library 'Swiper'
Version: 0.1.0
Description: Create carousels using the 'JavaScript' library 'Swiper' and the package 'htmlwidgets'. The carousels can be displayed in the 'RStudio' viewer pane, in 'Shiny' applications and in 'R markdown' documents.
License: GPL-3
URL: https://github.com/stla/swipeR
BugReports: https://github.com/stla/swipeR/issues
Imports: htmltools, htmlwidgets
Suggests: ggplot2, ggthemes, shiny, shinyWidgets
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-12-11 22:09:14 UTC; stla
Author: Stephane Laurent [aut, cre], Vladimir Kharlampidi [cph]
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Repository: CRAN
Date/Publication: 2022-12-12 12:10:02 UTC

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Package sship updated to version 0.9.0 with previous version 0.8.0 dated 2022-08-05

Title: Tool for Secure Shipment of Content
Description: Convenient tools for exchanging files securely from within R. By encrypting the content safe passage of files (shipment) can be provided by common but insecure carriers such as ftp and email. Based on asymmetric cryptography no management of shared secrets is needed to make a secure shipment as long as authentic public keys are available. Public keys used for secure shipments may also be obtained from external providers as part of the overall process. Transportation of files will require that relevant services such as ftp and email servers are available.
Author: Are Edvardsen [aut, cre]
Maintainer: Are Edvardsen <biorakel@gmail.com>

Diff between sship versions 0.8.0 dated 2022-08-05 and 0.9.0 dated 2022-12-12

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 NAMESPACE                                                                                     |    2 
 NEWS.md                                                                                       |    5 +
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 R/enc.R                                                                                       |   20 ++++++
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 man/sym_enc.Rd                                                                                |only
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 tests/testthat/test-enc.R                                                                     |    9 +++
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Package spaMM updated to version 4.1.20 with previous version 4.1.0 dated 2022-11-18

Title: Mixed-Effect Models, with or without Spatial Random Effects
Description: Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 <doi:10.1111/ecog.00566>), and Markov random field models on irregular grids (as considered in the 'INLA' package, <https://www.r-inla.org>), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 <doi:10.1093/biomet/88.4.987>) are also implemented.
Author: Francois Rousset [aut, cre, cph] , Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut]
Maintainer: Francois Rousset <francois.rousset@umontpellier.fr>

Diff between spaMM versions 4.1.0 dated 2022-11-18 and 4.1.20 dated 2022-12-12

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 R/drop1.R                                          |    6 
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 tests/testthat/test-LLM.R                          |    4 
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 tests/testthat/test-fixedLRT.R                     |    2 
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 tests/testthat/test-rank.R                         |  100 ++++
 tests/testthat/test-spaMM.R                        |   16 
 50 files changed, 1169 insertions(+), 458 deletions(-)

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Package mpathsenser updated to version 1.1.2 with previous version 1.1.1 dated 2022-11-07

Title: Process and Analyse Data from m-Path Sense
Description: Overcomes one of the major challenges in mobile (passive) sensing, namely being able to pre-process the raw data that comes from a mobile sensing app, specifically "m-Path Sense" <https://m-path.io>. The main task of 'mpathsenser' is therefore to read "m-Path Sense" JSON files into a database and provide several convenience functions to aid in data processing.
Author: Koen Niemeijer [aut, cre] , Kristof Meers [ctb] , KU Leuven [cph, fnd]
Maintainer: Koen Niemeijer <koen.niemeijer@kuleuven.be>

Diff between mpathsenser versions 1.1.1 dated 2022-11-07 and 1.1.2 dated 2022-12-12

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 mpathsenser-1.1.2/mpathsenser/R/utils.R                                |   14 
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 mpathsenser-1.1.2/mpathsenser/man/app_usage.Rd                         |    2 
 mpathsenser-1.1.2/mpathsenser/man/bin_data.Rd                          |    2 
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 mpathsenser-1.1.2/mpathsenser/man/copy_db.Rd                           |   10 
 mpathsenser-1.1.2/mpathsenser/man/coverage.Rd                          |   10 
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 mpathsenser-1.1.2/mpathsenser/man/fix_jsons.Rd                         |    5 
 mpathsenser-1.1.2/mpathsenser/man/freq.Rd                              |    2 
 mpathsenser-1.1.2/mpathsenser/man/get_nrows.Rd                         |   18 
 mpathsenser-1.1.2/mpathsenser/man/get_participants.Rd                  |    2 
 mpathsenser-1.1.2/mpathsenser/man/get_processed_files.Rd               |    6 
 mpathsenser-1.1.2/mpathsenser/man/get_studies.Rd                       |    2 
 mpathsenser-1.1.2/mpathsenser/man/identify_gaps.Rd                     |    2 
 mpathsenser-1.1.2/mpathsenser/man/import.Rd                            |   30 
 mpathsenser-1.1.2/mpathsenser/man/index_db.Rd                          |    2 
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 mpathsenser-1.1.2/mpathsenser/man/link_db.Rd                           |   41 
 mpathsenser-1.1.2/mpathsenser/man/link_gaps.Rd                         |   58 
 mpathsenser-1.1.2/mpathsenser/man/moving_average.Rd                    |    4 
 mpathsenser-1.1.2/mpathsenser/man/n_screen_on.Rd                       |    2 
 mpathsenser-1.1.2/mpathsenser/man/n_screen_unlocks.Rd                  |    2 
 mpathsenser-1.1.2/mpathsenser/man/open_db.Rd                           |    6 
 mpathsenser-1.1.2/mpathsenser/man/plot.coverage.Rd                     |    7 
 mpathsenser-1.1.2/mpathsenser/man/screen_duration.Rd                   |    2 
 mpathsenser-1.1.2/mpathsenser/man/step_count.Rd                        |    2 
 mpathsenser-1.1.2/mpathsenser/man/test_jsons.Rd                        |    5 
 mpathsenser-1.1.2/mpathsenser/man/unzip_data.Rd                        |   14 
 mpathsenser-1.1.2/mpathsenser/tests/testthat/test-database.R           |  546 ++++----
 mpathsenser-1.1.2/mpathsenser/tests/testthat/test-linking.R            |  274 +++-
 mpathsenser-1.1.2/mpathsenser/tests/testthat/test-location_functions.R |   19 
 mpathsenser-1.1.2/mpathsenser/tests/testthat/test-sensor_functions.R   |   98 +
 51 files changed, 2160 insertions(+), 1271 deletions(-)

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New package mlr3oml with initial version 0.7.0
Package: mlr3oml
Title: Connector Between 'mlr3' and 'OpenML'
Version: 0.7.0
Description: Provides an interface to 'OpenML.org' to list and download machine learning data, tasks and experiments. The 'OpenML' objects can be automatically converted to 'mlr3' objects. For a more sophisticated interface which also allows uploading to 'OpenML', see the 'OpenML' package.
License: LGPL-3
URL: https://mlr3oml.mlr-org.com, https://github.com/mlr-org/mlr3oml
BugReports: https://github.com/mlr-org/mlr3oml/issues
Depends: R (>= 3.1.0)
Imports: backports (>= 1.1.6), checkmate, curl, data.table, jsonlite, lgr, methods, mlr3 (>= 0.14.0), mlr3misc (>= 0.7.0), paradox, R6, stringi, uuid, withr
Suggests: DBI, duckdb (>= 0.6.0), mlr3db (>= 0.5.0), qs, RWeka, testthat (>= 3.0.0)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-12-12 09:17:43 UTC; sebi
Author: Michel Lang [aut] , Sebastian Fischer [cre, aut]
Maintainer: Sebastian Fischer <sebf.fischer@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-12 12:40:07 UTC

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New package airGRdatasets with initial version 0.1.4
Package: airGRdatasets
Title: Hydro-Meteorological Catchments Datasets for the 'airGR' Packages
Version: 0.1.4
Date: 2022-12-12
Description: Sample of hydro-meteorological datasets extracted from the 'CAMELS-FR' French database <https://hal.inrae.fr/hal-03687235>. It provides metadata and catchment-scale aggregated hydro-meteorological time series on a pool of French catchments for use by the 'airGR' packages.
License: CC BY-NC-SA 4.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
URL: https://gitlab.irstea.fr/HYCAR-Hydro/airgrgalaxy/airgrdatasets
BugReports: https://gitlab.irstea.fr/HYCAR-Hydro/airgrgalaxy/airgrdatasets/-/issues
NeedsCompilation: no
LazyData: true
Packaged: 2022-12-12 08:07:38 UTC; odelaigue
Author: Olivier Delaigue [aut, cre] , Pierre Brigode [aut] , Guillaume Thirel [aut] , Benoît Genot [ctb], Guilherme Mendoza Guimaraes [ctb]
Maintainer: Olivier Delaigue <airGR@inrae.fr>
Repository: CRAN
Date/Publication: 2022-12-12 12:40:12 UTC

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Package wavScalogram updated to version 1.1.2 with previous version 1.1.1 dated 2021-07-23

Title: Wavelet Scalogram Tools for Time Series Analysis
Description: Provides scalogram based wavelet tools for time series analysis: wavelet power spectrum, scalogram, windowed scalogram, windowed scalogram difference (see Bolos et al. (2017) <doi:10.1016/j.amc.2017.05.046>), scale index and windowed scale index (Benitez et al. (2010) <doi:10.1016/j.camwa.2010.05.010>).
Author: Vicente J. Bolos and Rafael Benitez
Maintainer: Vicente J. Bolos <vicente.bolos@uv.es>

Diff between wavScalogram versions 1.1.1 dated 2021-07-23 and 1.1.2 dated 2022-12-12

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New package SDPDmod with initial version 0.0.1
Package: SDPDmod
Title: Spatial Dynamic Panel Data Modeling
Version: 0.0.1
Description: Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.
License: GPL (>= 3)
Depends: R (>= 2.10)
Imports: Matrix, methods, plm, RSpectra, sf, sp, spdep, stats
Suggests: knitr, rmarkdown, splm
BugReports: https://github.com/RozetaSimonovska/SDPDmod/issues/
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-11 20:54:17 UTC; Rozeta
Author: Rozeta Simonovska [aut, cre]
Maintainer: Rozeta Simonovska <simonovska.r@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-12 11:50:02 UTC

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New package GroupSeq with initial version 1.4.2
Package: GroupSeq
Title: Group Sequential Design Probabilities - With Graphical User Interface
Version: 1.4.2
Description: Computes probabilities related to group sequential designs for normally distributed test statistics. Enables to derive critical boundaries, power, drift, and confidence intervals of such designs. Supports the alpha spending approach by Lan-DeMets (1994) <doi:10.1002/sim.4780131308>.
Imports: tcltk, tcltk2, mvtnorm
Suggests: knitr, tinytest, rmarkdown, ggplot2, gridExtra
VignetteBuilder: knitr
License: GPL-3
URL: https://rpahl.github.io/GroupSeq/
BugReports: https://github.com/rpahl/GroupSeq/issues
NeedsCompilation: no
Author: Roman Pahl [aut, cre]
Maintainer: Roman Pahl <roman.pahl@gmail.com>
Repository: CRAN
Encoding: UTF-8
Packaged: 2022-12-11 11:43:55 UTC; Roman
Date/Publication: 2022-12-12 11:50:06 UTC

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New package enmSdmX with initial version 1.0.0
Package: enmSdmX
Title: Species Distribution Modeling and Ecological Niche Modeling
Version: 1.0.0
Date: 2022-12-05
Maintainer: Adam B. Smith <adam.smith@mobot.org>
Description: Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.
Depends: R (>= 4.0.0),
Imports: boot, dismo, doParallel, foreach, gbm, graphics, ks, maxnet, methods, mgcv, MuMIn, omnibus, parallel, randomForest, scales, sf, stats, terra, utils
Suggests: ecospat, geodata
LazyData: true
LazyLoad: yes
URL: https://github.com/adamlilith/enmSdmX
BugReports: https://github.com/adamlilith/enmSdmX
Encoding: UTF-8
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2022-12-10 20:05:46 UTC; adam
Author: Adam B. Smith [cre, aut]
Repository: CRAN
Date/Publication: 2022-12-12 11:40:02 UTC

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New package Crosstabs.Loglinear with initial version 0.1.1
Title: Cross Tabulation and Loglinear Analyses of Categorical Data
Package: Crosstabs.Loglinear
Version: 0.1.1
Date: 2022-12-11
Description: Provides 'SPSS'- and 'SAS'-like output for cross tabulations of two categorical variables (CROSSTABS) and for hierarchical loglinear analyses of two or more categorical variables (LOGLINEAR). The methods are described in Agresti (2013, ISBN:978-0-470-46363-5), Ajzen & Walker (2021, ISBN:9780429330308), Field (2018, ISBN:9781526440273), Norusis (2012, ISBN:978-0-321-74843-0), Nussbaum (2015, ISBN:978-1-84872-603-1), Stevens (2009, ISBN:978-0-8058-5903-4), Tabachnik & Fidell (2019, ISBN:9780134790541), and von Eye & Mun (2013, ISBN:978-1-118-14640-8).
License: GPL (>= 2)
Imports: stats, utils
LazyLoad: yes
LazyData: yes
NeedsCompilation: no
Author: Brian O'Connor [aut, cre]
Maintainer: Brian O'Connor <brian.oconnor@ubc.ca>
Packaged: 2022-12-11 12:13:50 UTC; brianoconnor
Repository: CRAN
Date/Publication: 2022-12-12 12:00:02 UTC

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New package AnxietySleep with initial version 0.0.1
Package: AnxietySleep
Date: 2022-12-09
Title: Sleep Quality and Anxiety in Confinement
Version: 0.0.1
Description: Data from the anxiety and confinement study from Alvarado-Aravena et al. (2022) <doi:10.3390/bs12100398>.
License: CC BY 4.0
Encoding: UTF-8
Imports: data.table (>= 1.14.2), lifecycle
URL: https://github.com/NIM-ACh/AnxietySleep
BugReports: https://github.com/NIM-ACh/AnxietySleep/issues
Depends: R (>= 3.1.0)
LazyData: true
NeedsCompilation: no
Packaged: 2022-12-10 11:29:35 UTC; matias
Author: Caren Alvarado-Aravena [aut] , Matias Castillo-Aguilar [aut, cre] , Cristian Nunez-Espinosa [aut]
Maintainer: Matias Castillo-Aguilar <matcasti@umag.cl>
Repository: CRAN
Date/Publication: 2022-12-12 11:20:03 UTC

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Package nanonext updated to version 0.7.2 with previous version 0.7.1 dated 2022-11-16

Title: NNG (Nanomsg Next Gen) Lightweight Messaging Library
Description: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ. NNG is a socket library providing high-performance scalability protocols, implementing a cross-platform standard for messaging and communications. Serves as a concurrency framework for building distributed applications, utilising 'aio' objects which resolve automatically upon completion of asynchronous operations.
Author: Charlie Gao [aut, cre] , Hibiki AI Limited [cph]
Maintainer: Charlie Gao <charlie.gao@shikokuchuo.net>

Diff between nanonext versions 0.7.1 dated 2022-11-16 and 0.7.2 dated 2022-12-12

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Package ipmr updated to version 0.0.6 with previous version 0.0.5 dated 2022-04-28

Title: Integral Projection Models
Description: Flexibly implements Integral Projection Models using a mathematical(ish) syntax. This package will not help with the vital rate modeling process, but will help convert those regression models into an IPM. 'ipmr' handles density dependence and environmental stochasticity, with a couple of options for implementing the latter. In addition, provides functions to avoid unintentional eviction of individuals from models. Additionally, provides model diagnostic tools, plotting functionality, stochastic/deterministic simulations, and analysis tools. Integral projection models are described in depth by Easterling et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014) <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015) <doi:10.1111/2041-210X.12405>. Williams et al. (2012) <doi:10.1890/11-2147.1> discuss the problem of unintentional eviction.
Author: Sam Levin [aut, cre] , Aldo Compagnoni [aut], Dylan Childs [aut], Sanne Evers [aut], Roberto Salguero-Gomez [aut], Tiffany Knight [aut], Eric Scott [ctb]
Maintainer: Sam Levin <levisc8@gmail.com>

Diff between ipmr versions 0.0.5 dated 2022-04-28 and 0.0.6 dated 2022-12-12

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Package contingencytables updated to version 1.0.4 with previous version 1.0.3 dated 2022-11-10

Title: Statistical Analysis of Contingency Tables
Description: Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.
Author: Morten Wang Fagerland [aut], Stian Lydersen [ctb], Petter Laake [ctb], Waldir Leoncio [cre], Ole Christian Lingjaerde [trl]
Maintainer: Waldir Leoncio <w.l.netto@medisin.uio.no>

Diff between contingencytables versions 1.0.3 dated 2022-11-10 and 1.0.4 dated 2022-12-12

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Package bayesTFR updated to version 7.2-2 with previous version 7.2-0 dated 2022-10-28

Title: Bayesian Fertility Projection
Description: Making probabilistic projections of total fertility rate for all countries of the world, using a Bayesian hierarchical model <doi:10.1007/s13524-011-0040-5>. Subnational probabilistic projections are also supported.
Author: Hana Sevcikova , Leontine Alkema , Peiran Liu , Adrian Raftery , Bailey Fosdick , Patrick Gerland
Maintainer: Hana Sevcikova <hanas@uw.edu>

Diff between bayesTFR versions 7.2-0 dated 2022-10-28 and 7.2-2 dated 2022-12-12

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Package UCSCXenaShiny updated to version 1.1.9 with previous version 1.1.8 dated 2022-06-07

Title: Interactive Analysis of UCSC Xena Data
Description: Provides functions and a Shiny application for downloading, analyzing and visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx, CCLE, and others.
Author: Shixiang Wang [aut, cre] , Yi Xiong [aut] , Longfei Zhao [aut] , Kai Gu [aut] , Yin Li [aut], Fei Zhao [aut]
Maintainer: Shixiang Wang <w_shixiang@163.com>

Diff between UCSCXenaShiny versions 1.1.8 dated 2022-06-07 and 1.1.9 dated 2022-12-12

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Package jgsbook (with last version 1.0.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-11-28 1.0.1
2022-05-13 1.0

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Package rKolada (with last version 0.2.1) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-03-10 0.2.1

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Package truthiness (with last version 1.2.5) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2021-05-24 1.2.5
2021-02-17 1.2.4

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Package mlr3oml (with last version 0.6.0) was removed from CRAN

Previous versions (as known to CRANberries) which should be available via the Archive link are:

2022-10-12 0.6.0
2021-09-24 0.5.0
2021-04-16 0.4.3
2021-02-22 0.4.2
2021-01-27 0.4.1
2020-10-20 0.4.0
2020-10-05 0.3.0
2020-08-24 0.2.0
2020-08-07 0.1.0

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