Tue, 13 Sep 2022

Package lefko3 updated to version 5.5.0 with previous version 5.4.2 dated 2022-08-09

Title: Historical and Ahistorical Population Projection Matrix Analysis
Description: Complete analytical environment for the construction and analysis of matrix population models and integral projection models. Includes the ability to construct historical matrices, which are 2d matrices comprising 3 consecutive times of demographic information. Estimates both raw and function-based forms of historical and standard ahistorical matrices. It also estimates function-based age-by-stage matrices and raw and function-based Leslie matrices.
Author: Richard P. Shefferson [aut, cre] , Johan Ehrlen [aut]
Maintainer: Richard P. Shefferson <cdorm@g.ecc.u-tokyo.ac.jp>

Diff between lefko3 versions 5.4.2 dated 2022-08-09 and 5.5.0 dated 2022-09-13

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Package corx updated to version 1.0.7.1 with previous version 1.0.7.0 dated 2022-08-25

Title: Create and Format Correlation Matrices
Description: Create correlation (or partial correlation) matrices. Correlation matrices are formatted with significance stars based on user preferences. Matrices of coefficients, p-values, and number of pairwise observations are returned. Send resultant formatted matrices to the clipboard to be pasted into excel and other programs. A plot method allows users to visualize correlation matrices created with 'corx'.
Author: James Conigrave [aut, cre]
Maintainer: James Conigrave <james.conigrave@gmail.com>

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Package packageRank updated to version 0.7.1 with previous version 0.7.0 dated 2022-08-05

Title: Computation and Visualization of Package Download Counts and Percentiles
Description: Compute and visualize the cross-sectional and longitudinal number and rank percentile of package downloads from RStudio's CRAN mirror.
Author: Peter Li [aut, cre]
Maintainer: Peter Li <lindbrook@gmail.com>

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Package migraph updated to version 0.11.3 with previous version 0.10.6 dated 2022-07-03

Title: Tools for Multimodal Network Analysis
Description: A set of tools for analysing multimodal networks. All functions operate with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects, and on one-mode, two-mode (bipartite), and sometimes three-mode networks. It includes functions for measuring centrality, centralization, cohesion, closure, and constraint, as well as for network block-modelling and regression. The package is released as a complement to 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes various datasets used in the book in addition to other network data.
Author: James Hollway [cre, aut, ctb] , Jael Tan [ctb] , Bernhard Bieri [ctb] , Henrique Sposito [ctb]
Maintainer: James Hollway <james.hollway@graduateinstitute.ch>

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Package N2H4 (with last version 0.8.0) was removed from CRAN

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

2022-09-03 0.8.0
2022-07-15 0.6.5
2022-05-10 0.6.3
2022-02-22 0.6.1

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Package Tratamentos.ad updated to version 0.2.4 with previous version 0.2.3 dated 2022-05-10

Title: Pacote Para Analise De Experimentos Com Testemunhas Adicionais
Description: Pacote para a analise de experimentos com um ou dois fatores com testemunhas adicionais conduzidos no delineamento inteiramente casualizado ou em blocos casualizados. "Package for the analysis of one or two-way experiments with additional controls conducted in a completely randomized design or in a randomized block design".
Author: Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>

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Package ImportanceIndice updated to version 0.0.2 with previous version 0.0.1 dated 2022-04-08

Title: Analyzing Data Through of Percentage of Importance Indice and Its Derivations
Description: The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes, frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE, 2021) <http://cjascience.com/index.php/CJAS/article/view/1009/1350>. This index can detect the key loss sources (L.S) and solution sources (S.S.), classifying them according to their importance in terms of loss or income gain, on the productive system. The Percentage_I.I. = [(ks1 x c1 x ds1)/SUM (ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)] x 100. key source (ks) is obtained using simple regression analysis and magnitude (abundance). Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence = 0 or presence = 1), and distribution source (ds) is obtained using chi-square test. This index has derivations: i.e., i) Loss estimates and solutions effectiveness and ii) Attention and non-attention levels (DEMOLIN-LEITE,2024) <DOI: 10.1590/1519-6984.253215>.
Author: Germano Leao Demolin Leite [aut] , Alcinei Mistico Azevedo [aut, cre]
Maintainer: Alcinei Mistico Azevedo <alcineimistico@hotmail.com>

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Package iGraphMatch updated to version 2.0.1 with previous version 2.0.0 dated 2021-11-10

Title: Tools for Graph Matching
Description: Versatile tools and data for graph matching analysis with various forms of prior information that supports working with 'igraph' objects, matrix objects, or lists of either.
Author: Daniel Sussman [aut, cre], Zihuan Qiao [aut], Joshua Agterberg [ctb], Lujia Wang [ctb], Vince Lyzinski [ctb]
Maintainer: Daniel Sussman <sussman@bu.edu>

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Package stratallo updated to version 2.1.0 with previous version 2.0.1 dated 2022-04-13

Title: Optimum Sample Allocation in Stratified Sampling Schemes
Description: Functions in this package provide solution to classical problem in survey methodology - an optimum sample allocation in stratified sampling schemes. In this context, the optimal allocation is in the classical Tschuprov-Neyman's sense and it satisfies additional lower or upper bounds restrictions imposed on sample sizes in strata. There are few different algorithms available to use, and one them is based on popular sample allocation method that applies Neyman allocation to recursively reduced set of strata. This package also provides the function that computes a solution to the minimum sample size allocation problem, which is a minor modification of the classical optimium sample allocation. This problem lies in the determination of a vector of strata sample sizes that minimizes total sample size, under assumed fixed level of the pi-estimator's variance. As in the case of the classical optimal allocation, the problem of minimum sample size allocation can be complemented by imposing upper [...truncated...]
Author: Wojciech Wojciak [aut, cre], Jacek Wesolowski [sad], Robert Wieczorkowski [ctb]
Maintainer: Wojciech Wojciak <wojciech.wojciak@gmail.com>

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More information about stratallo at CRAN
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Package growthcleanr updated to version 2.0.2 with previous version 2.0.1 dated 2022-09-01

Title: Data Cleaner for Anthropometric Measurements
Description: Identifies implausible anthropometric (e.g., height, weight) measurements in irregularly spaced longitudinal datasets, such as those from electronic health records.
Author: Daymont Carrie [aut], Grundmeier Robert [aut], Miller Jeffrey [aut], Campos Diego [aut], Chudnov Dan [ctb], De los Santos Hannah [ctb, cre], Cao Lusha [ctb], Silva Steffani [ctb], Zhang Hanzhe [ctb], Boyas Matt [ctb], Freedman David [ctb], Achilleos [...truncated...]
Maintainer: De los Santos Hannah <hdelossantos@mitre.org>

Diff between growthcleanr versions 2.0.1 dated 2022-09-01 and 2.0.2 dated 2022-09-13

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More information about growthcleanr at CRAN
Permanent link

Package sdmpredictors updated to version 0.2.13 with previous version 0.2.12 dated 2022-02-24

Title: Species Distribution Modelling Predictor Datasets
Description: Terrestrial and marine predictors for species distribution modelling from multiple sources, including WorldClim <https://www.worldclim.org/>,, ENVIREM <https://envirem.github.io/>, Bio-ORACLE <https://bio-oracle.org/> and MARSPEC <http://www.marspec.org/>.
Author: Samuel Bosch [aut], Lennert Tyberghein [ctb], Olivier De Clerck [ctb], Salvador Fernandez [aut, cre], Lennert Schepers [ctb], LifeWatch Belgium [fnd]
Maintainer: Salvador Fernandez <salvador.fernandez@vliz.be>

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More information about sdmpredictors at CRAN
Permanent link

Package regr.easy updated to version 1.0.1 with previous version 1.0.0 dated 2022-06-17

Title: Easy Linear, Quadratic and Cubic Regression Models
Description: Focused on linear, quadratic and cubic regression models, it has a function for calculating the models, obtaining a list with their parameters, and a function for making the graphs for the respective models.
Author: Wagner Martins dos Santos [aut, cre]
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>

Diff between regr.easy versions 1.0.0 dated 2022-06-17 and 1.0.1 dated 2022-09-13

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Package gencor updated to version 1.0.2 with previous version 1.0.1 dated 2022-08-19

Title: Generate Customized Correlation Matrices
Description: Provides a function that generates a customized correlation matrix based on limit values and proportions for intervals composed by its limits. It can also generate random matrices with low, medium, and high correlations, in which low, medium, and high thresholds are user-defined.
Author: Helgem de Souza Ribeiro Martins[aut, cre], Anderson Ribeiro Duarte[aut]
Maintainer: Helgem de Souza Ribeiro Martins <helgem.souza@gmail.com>

Diff between gencor versions 1.0.1 dated 2022-08-19 and 1.0.2 dated 2022-09-13

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Package garchx updated to version 1.5 with previous version 1.3 dated 2021-07-15

Title: Flexible and Robust GARCH-X Modelling
Description: Flexible and robust estimation and inference of generalised autoregressive conditional heteroscedasticity (GARCH) models with covariates ('X') based on the results by Francq and Thieu (2018) <doi:10.1017/S0266466617000512>. Coefficients can straightforwardly be set to zero by omission, and quasi maximum likelihood methods ensure estimates are generally consistent and inference valid, even when the standardised innovations are non-normal and/or dependent over time, see <https://journal.r-project.org/archive/2021/RJ-2021-057/RJ-2021-057.pdf> for an overview of the package.
Author: Genaro Sucarrat [aut, cre]
Maintainer: Genaro Sucarrat <gsucarrat@gmail.com>

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New package SpectralClMixed with initial version 1.0
Package: SpectralClMixed
Title: Spectral Clustering for Mixed Type Data
Version: 1.0
Maintainer: Cristina Tortora <grikris1@gmail.com>
Description: Performs cluster analysis of mixed-type data using Spectral Clustering, see F. Mbuga and, C. Tortora (2022) <doi:10.3390/stats5010001>.
License: GPL (>= 2)
Depends: R (>= 3.5)
Imports: RSpectra, cluster, ggplot2, GGally
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-13 10:30:03 UTC; cristina
Author: Cristina Tortora [aut, cre, cph] , Felix Mbuga [aut], Zander Bonnet [aut]
Repository: CRAN
Date/Publication: 2022-09-13 12:10:02 UTC

More information about SpectralClMixed at CRAN
Permanent link

Package reporter updated to version 1.3.6 with previous version 1.3.5 dated 2022-08-08

Title: Creates Statistical Reports
Description: Contains functions to create regulatory-style statistical reports. Originally designed to create tables, listings, and figures for the pharmaceutical, biotechnology, and medical device industries, these reports are generalized enough that they could be used in any industry. Generates text, rich-text, PDF, HTML, and Microsoft Word file formats. The package specializes in printing wide and long tables with automatic page wrapping and splitting. Reports can be produced with a minimum of function calls, and without relying on other table packages. The package supports titles, footnotes, page header, page footers, spanning headers, page by variables, and automatic page numbering.
Author: David Bosak [aut, cre], Kevin Kramer [ctb], Duong Tran [ctb], Archytas Clinical Solutions [cph]
Maintainer: David Bosak <dbosak01@gmail.com>

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More information about reporter at CRAN
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Package lintr updated to version 3.0.1 with previous version 3.0.0 dated 2022-06-13

Title: A 'Linter' for R Code
Description: Checks adherence to a given style, syntax errors and possible semantic issues. Supports on the fly checking of R code edited with 'RStudio IDE', 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.
Author: Jim Hester [aut, cre], Florent Angly [aut] , Russ Hyde [aut], Michael Chirico [aut], Kun Ren [aut], Alexander Rosenstock [aut] , Indrajeet Patil [aut]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between lintr versions 3.0.0 dated 2022-06-13 and 3.0.1 dated 2022-09-13

 DESCRIPTION                                       |   47 +++--
 MD5                                               |  151 +++++++++--------
 NAMESPACE                                         |    2 
 NEWS.md                                           |   70 ++++++++
 R/assignment_linter.R                             |   24 ++
 R/brace_linter.R                                  |   24 +-
 R/comment_linters.R                               |    9 -
 R/exclude.R                                       |    9 -
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 R/function_argument_linter.R                      |only
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 R/lint.R                                          |  187 ++++++++++++++++++++--
 R/linter_tag_docs.R                               |    2 
 R/literal_coercion_linter.R                       |   36 ++--
 R/namespace.R                                     |   26 +--
 R/redundant_ifelse_linter.R                       |   16 -
 R/seq_linter.R                                    |   61 +++++--
 R/trailing_blank_lines_linter.R                   |    2 
 R/tree-utils.R                                    |    5 
 R/unreachable_code_linter.R                       |    5 
 R/utils.R                                         |   10 -
 R/vector_logic_linter.R                           |   13 +
 R/with.R                                          |    6 
 R/zzz.R                                           |  116 ++++++++-----
 build/lintr.pdf                                   |binary
 inst/doc/continuous-integration.Rmd               |    8 
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 inst/doc/lintr.Rmd                                |   12 -
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 tests/testthat/test-class_equals_linter.R         |   49 ++---
 tests/testthat/test-commented_code_linter.R       |   32 +++
 tests/testthat/test-exclusions.R                  |   79 +++++++++
 tests/testthat/test-expect_identical_linter.R     |   54 ++----
 tests/testthat/test-expect_s3_class_linter.R      |   10 -
 tests/testthat/test-function_argument_linter.R    |only
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 tests/testthat/test-knitr_formats.R               |    2 
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 tests/testthat/test-literal_coercion_linter.R     |   64 ++++++-
 tests/testthat/test-namespace_linter.R            |   28 +--
 tests/testthat/test-object_length_linter.R        |   17 +-
 tests/testthat/test-object_usage_linter.R         |   13 -
 tests/testthat/test-parse_exclusions.R            |    6 
 tests/testthat/test-redundant_ifelse_linter.R     |   30 +++
 tests/testthat/test-rstudio_markers.R             |    8 
 tests/testthat/test-seq_linter.R                  |   86 +++++++++-
 tests/testthat/test-trailing_blank_lines_linter.R |   58 +++++-
 tests/testthat/test-unreachable_code_linter.R     |   16 +
 tests/testthat/test-with.R                        |   10 -
 tests/testthat/test-xml_nodes_to_lints.R          |    6 
 vignettes/continuous-integration.Rmd              |    8 
 vignettes/editors.Rmd                             |   10 +
 vignettes/lintr.Rmd                               |   12 -
 78 files changed, 1401 insertions(+), 454 deletions(-)

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New package GRIDCOPULA with initial version 1.0.0
Package: GRIDCOPULA
Title: Bivariate Copula Functions Based on Regular Grid
Description: Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.
Version: 1.0.0
License: GPL-3
Encoding: UTF-8
Packaged: 2022-09-12 20:27:58 UTC; Abraham
Imports: Rsolnp, fields, limSolve, ggplot2, pracma, reshape2
NeedsCompilation: no
Author: Rogelio Salinas Gutierrez Developer [aut, cre, cph], Angelica Hernandez Quintero Dev [aut], Pedro Abraham Montoya Calzada Dev [cph]
Maintainer: Rogelio Salinas Gutierrez Developer <rsalinas@correo.uaa.mx>
Repository: CRAN
Date/Publication: 2022-09-13 11:40:02 UTC

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Package finbif updated to version 0.7.0 with previous version 0.6.6 dated 2022-08-08

Title: Interface for the 'Finnish Biodiversity Information Facility' API
Description: A programmatic interface to the 'Finnish Biodiversity Information Facility' ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish biodiversity data from multiple sources in a single open access portal for researchers, citizen scientists, industry and government. 'FinBIF' allows users of biodiversity information to find, access, combine and visualise data on Finnish plants, animals and microorganisms. The 'finbif' package makes the publicly available data in 'FinBIF' easily accessible to programmers. Biodiversity information is available on taxonomy and taxon occurrence. Occurrence data can be filtered by taxon, time, location and other variables. The data accessed are conveniently preformatted for subsequent analyses.
Author: Finnish Museum of Natural History - Luomus [cph], William K. Morris [aut, cre]
Maintainer: William K. Morris <willi@mmorris.email>

Diff between finbif versions 0.6.6 dated 2022-08-08 and 0.7.0 dated 2022-09-13

 finbif-0.6.6/finbif/tests/testthat/_snaps/zzz-finbif                                     |only
 finbif-0.6.6/finbif/tests/testthat/test-zzz-finbif.R                                     |only
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 finbif-0.7.0/finbif/DESCRIPTION                                                          |   11 
 finbif-0.7.0/finbif/MD5                                                                  |   88 ++--
 finbif-0.7.0/finbif/NAMESPACE                                                            |    1 
 finbif-0.7.0/finbif/NEWS.md                                                              |   33 +
 finbif-0.7.0/finbif/R/filters.R                                                          |   19 
 finbif-0.7.0/finbif/R/finbif-package.R                                                   |    3 
 finbif-0.7.0/finbif/R/finbif_informal_groups.R                                           |   34 +
 finbif-0.7.0/finbif/R/finbif_metadata.R                                                  |   62 ++-
 finbif-0.7.0/finbif/R/finbif_occurrence.R                                                |  176 +++++++-
 finbif-0.7.0/finbif/R/finbif_occurrence_load.R                                           |    5 
 finbif-0.7.0/finbif/R/finbif_records.R                                                   |  197 +++++-----
 finbif-0.7.0/finbif/R/finbif_taxa.R                                                      |    9 
 finbif-0.7.0/finbif/R/sysdata.rda                                                        |binary
 finbif-0.7.0/finbif/R/utils.R                                                            |   34 +
 finbif-0.7.0/finbif/R/zzz.R                                                              |    1 
 finbif-0.7.0/finbif/README.md                                                            |    2 
 finbif-0.7.0/finbif/inst/NEWS.Rd                                                         |   30 +
 finbif-0.7.0/finbif/inst/doc/finbif.Rmd                                                  |   30 -
 finbif-0.7.0/finbif/inst/doc/finbif.html                                                 |   45 +-
 finbif-0.7.0/finbif/inst/doc/v02_occurrence_data.html                                    |   13 
 finbif-0.7.0/finbif/inst/doc/v03_selecting_variables.html                                |   13 
 finbif-0.7.0/finbif/inst/doc/v04_metadata.Rmd                                            |    2 
 finbif-0.7.0/finbif/inst/doc/v04_metadata.html                                           |   15 
 finbif-0.7.0/finbif/inst/doc/v05_filtering.Rmd                                           |  130 +++---
 finbif-0.7.0/finbif/inst/doc/v05_filtering.html                                          |  149 +++----
 finbif-0.7.0/finbif/inst/doc/v06_plotting.html                                           |   13 
 finbif-0.7.0/finbif/man/figures/plot-occurrences-eval-1.png                              |binary
 finbif-0.7.0/finbif/man/filters.Rd                                                       |   19 
 finbif-0.7.0/finbif/man/finbif-package.Rd                                                |    3 
 finbif-0.7.0/finbif/man/finbif_informal_groups.Rd                                        |   13 
 finbif-0.7.0/finbif/man/finbif_occurrence.Rd                                             |   14 
 finbif-0.7.0/finbif/man/finbif_occurrence_load.Rd                                        |    4 
 finbif-0.7.0/finbif/man/finbif_records.Rd                                                |   16 
 finbif-0.7.0/finbif/man/finbif_taxa.Rd                                                   |    6 
 finbif-0.7.0/finbif/tests/testthat/_snaps/local-finbif_occurrence_load.md                |   12 
 finbif-0.7.0/finbif/tests/testthat/helper-finbif.R                                       |  141 +++++--
 finbif-0.7.0/finbif/tests/testthat/test-finbif_occurrence.R                              |  108 +++++
 finbif-0.7.0/finbif/tests/testthat/test-finbif_taxa.R                                    |   15 
 finbif-0.7.0/finbif/tests/testthat/test-local-finbif_occurrence_load.R                   |   53 ++
 finbif-0.7.0/finbif/tests/testthat/test-metadata.R                                       |   14 
 finbif-0.7.0/finbif/tests/write-files/finbif_cache_file_3db6439c7601e4401b8a27a2094919a3 |only
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 finbif-0.7.0/finbif/vignettes/v04_metadata.Rmd                                           |    2 
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 47 files changed, 1171 insertions(+), 524 deletions(-)

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New package CpmERCCutoff with initial version 1.0.0
Package: CpmERCCutoff
Title: Calculation of Log2 Counts per Million Cutoff from ERCC Controls
Version: 1.0.0
Description: Implementation of the empirical method to derive log2 counts per million (CPM) cutoff to filter out lowly expressed genes using ERCC spike-ins as described in Goll and Bosinger et.al (2022)<doi:10.1101/2022.06.23.497396>. This package utilizes the synthetic mRNA control pairs developed by the External RNA Controls Consortium (ERCC) (ERCC 1 / ERCC 2) that are spiked into sample pairs at known ratios at various absolute abundances. The relationship between the observed and expected fold changes is then used to empirically determine an optimal log2 CPM cutoff for filtering out lowly expressed genes.
Depends: R (>= 3.6)
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: stats, graphics
Suggests: spelling, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-09-12 18:36:42 UTC; ksteenbergen
Language: en-US
Author: Tyler Grimes [aut] , Travis L. Jensen [aut] , Kristen Steenbergen [ctb, cre], The Emmes Company LLC [cph] 2022)), Johannes B. Goll [aut]
Maintainer: Kristen Steenbergen <ksteenbergen@emmes.com>
Repository: CRAN
Date/Publication: 2022-09-13 11:20:07 UTC

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New package argosfilter with initial version 0.70
Package: argosfilter
Version: 0.70
Date: 2022-09-12
Title: Argos Locations Filter
Author: Carla Freitas [aut, cre]
Maintainer: Carla Freitas <carla.freitas.brandt@hi.no>
Description: Filters animal satellite tracking data obtained from the Argos system(<https://www.argos-system.org/>), following the algorithm described in Freitas et al (2008) <doi:10.1111/j.1748-7692.2007.00180.x>. It is especially indicated for telemetry studies of marine animals, where Argos locations are predominantly of low-quality.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-09-12 14:26:08 UTC; a22070
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-09-13 11:10:05 UTC

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New package AGread with initial version 1.3.2
Package: AGread
Title: Read Data Files from ActiGraph Monitors
Version: 1.3.2
Description: Standardize the process of bringing various modes of output files into 'R'. Additionally, processes are provided to read and minimally pre- process raw data from primary accelerometer and inertial measurement unit files, as well as binary .gt3x files. ActiGraph monitors are used to estimate physical activity outcomes via body-worn sensors that measure (e.g.) acceleration or rotational velocity.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Imports: anytime (>= 0.3.0), data.table (>= 1.10.4), DescTools (>= 0.99.20), dplyr (>= 0.5.0), lubridate (>= 1.7.4), magrittr (>= 2.0.2), PAutilities (>= 1.1.0), Rcpp (>= 1.0.1), reshape2 (>= 1.4.3), rlang (>= 0.2.0), R.utils, read.gt3x, stats, stringr (>= 1.3.0), tools, utils, readr, RSQLite, DBI
Encoding: UTF-8
LazyData: true
URL: https://github.com/paulhibbing/AGread
BugReports: https://github.com/paulhibbing/AGread/issues
Suggests: GGIR (>= 1.5.0), seewave (>= 2.0.5), testthat (>= 3.0.0)
LinkingTo: Rcpp
NeedsCompilation: yes
Packaged: 2022-09-13 03:15:57 UTC; prhibbing
Author: Paul R. Hibbing [aut, cre], Vincent T. van Hees [ctb], Samuel R. LaMunion [ctb], John Muschelli [ctb], Daniel Judge [ctb], Judge Maygarden [ctb], ActiGraph LLC [cph]
Maintainer: Paul R. Hibbing <paulhibbing@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 11:50:02 UTC

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New package yahoofinancer with initial version 0.1.0
Package: yahoofinancer
Title: Fetch Data from Yahoo Finance API
Version: 0.1.0
Description: Obtain historical and near real time data related to stocks, index and currencies from the Yahoo Finance API. This package is community maintained and is not officially supported by 'Yahoo'. The accuracy of data is only as correct as provided on <https://finance.yahoo.com/>.
Depends: R(>= 3.4)
Imports: httr, jsonlite, lubridate, magrittr, purrr, R6, stringr
Suggests: covr, dplyr, httptest, testthat (>= 3.0.0)
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://yahoofinancer.rsquaredacademy.com/, https://github.com/rsquaredacademy/yahoofinancer
BugReports: https://github.com/rsquaredacademy/yahoofinancer/issues
NeedsCompilation: no
Packaged: 2022-09-12 06:43:57 UTC; HP
Author: Aravind Hebbali [aut, cre]
Maintainer: Aravind Hebbali <hebbali.aravind@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:02 UTC

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New package stockAnalyst with initial version 1.0.1
Package: stockAnalyst
Title: Equity Valuation using Methods of Fundamental Analysis
Version: 1.0.1
Author: MaheshP Kumar [aut, cre]
Maintainer: MaheshP Kumar <maheshparamjitkumar@gmail.com>
Imports: stats
Description: Methods of Fundamental Analysis for Valuation of Equity included here serve as a quick reference for undergraduate courses on Stock Valuation and Chartered Financial Analyst Levels 1 and 2 Readings on Equity Valuation. Jerald E. Pinto (“Equity Asset Valuation (4th Edition)”, 2020, ISBN: 9781119628194). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level I Volumes 1-6. (Vol. 4, pp. 445-491)", 2019, ISBN: 9781119593577). Chartered Financial Analyst Institute ("Chartered Financial Analyst Program Curriculum 2020 Level II Volumes 1-6. (Vol. 4, pp. 197-447)", 2019, ISBN: 9781119593614).
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-12 22:29:46 UTC; mahes
Repository: CRAN
Date/Publication: 2022-09-13 10:20:02 UTC

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New package semmcci with initial version 1.0.1
Package: semmcci
Title: Monte Carlo Confidence Intervals in Structural Equation Modeling
Version: 1.0.1
Description: Monte Carlo confidence intervals for free and defined parameters in models fitted in the structural equation modeling package 'lavaan' can be generated using the 'semmcci' package. 'semmcci' has two main functions, namely, MC() and MCStd(). The output of 'lavaan' is passed as the first argument to the MC() function to generate Monte Carlo confidence intervals. Monte Carlo confidence intervals for the standardized estimates can also be generated by passing the output of the MC() function to the MCStd() function. Preacher and Selig (2012) <doi:10.1080/19312458.2012.679848>.
URL: https://github.com/jeksterslab/semmcci
BugReports: https://github.com/jeksterslab/semmcci/issues
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.0.0), stats, MASS, lavaan, methods
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2022-09-12 14:01:58 UTC; r1091537
Author: Ivan Jacob Agaloos Pesigan [aut, cre, cph] , Shu Fai Cheung [ctb]
Maintainer: Ivan Jacob Agaloos Pesigan <r.jeksterslab@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:30:02 UTC

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New package openairmaps with initial version 0.4.3
Package: openairmaps
Title: Create Interactive Web Maps of Air Pollution Data
Version: 0.4.3
Description: Combine the air quality data analysis methods of 'openair' with the JavaScript 'Leaflet' (<https://leafletjs.com/>) library. Functionality includes plotting site maps, "directional analysis" figures such as polar plots, and air mass trajectories.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.2.0)
Imports: openair, dplyr, leaflet, purrr, magrittr, rlang, lubridate, tibble, stringr, forcats
Suggests: worldmet
Language: en-GB
NeedsCompilation: no
Packaged: 2022-09-12 10:08:19 UTC; Jack
Author: Jack Davison [cre, aut], David Carslaw [aut]
Maintainer: Jack Davison <davison.jack.jd@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:05 UTC

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New package kgp with initial version 1.0.0
Package: kgp
Title: 1000 Genomes Project Metadata
Version: 1.0.0
Description: Metadata about populations and data about samples from the 1000 Genomes Project, including the 2,504 samples sequenced for the Phase 3 release and the expanded collection of 3,202 samples with 602 additional trios. The data is described in Auton et al. (2015) <doi:10.1038/nature15393> and Byrska-Bishop et al. (2022) <doi:10.1016/j.cell.2022.08.004>, and raw data is available at <http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/>.
URL: https://github.com/stephenturner/kgp, https://stephenturner.github.io/kgp/
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: tibble
NeedsCompilation: no
Packaged: 2022-09-12 10:38:53 UTC; turner
Author: Stephen Turner [aut, cre]
Maintainer: Stephen Turner <vustephen@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:08 UTC

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New package implicitExpansion with initial version 0.0.1
Package: implicitExpansion
Version: 0.0.1
Title: Array Operations for Arrays of Mismatching Sizes
Description: Support for implicit expansion of arrays in operations involving arrays of mismatching sizes. This pattern is known as "broadcasting" in 'Python' and "implicit expansion" in 'Matlab' and is explained for example in the article "Array programming with NumPy" by C. R. Harris et al. (2020) <doi:10.1038/s41586-020-2649-2>.
License: MIT + file LICENSE
URL: https://github.com/ManuelHentschel/implicitExpansion
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-09-12 11:09:58 UTC; Manuel
Author: Manuel Hentschel [aut, cre]
Maintainer: Manuel Hentschel <Manuel.Hentschel@unige.ch>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:11 UTC

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New package historicalborrowlong with initial version 0.0.5
Package: historicalborrowlong
Title: Longitudinal Bayesian Historical Borrowing Models
Description: Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a longitudinal hierarchical model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through longitudinal benchmark models (independent and pooled). The hierarchical model approach to historical borrowing is discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Version: 0.0.5
License: MIT + file LICENSE
URL: https://wlandau.github.io/historicalborrowlong/, https://github.com/wlandau/historicalborrowlong
BugReports: https://github.com/wlandau/historicalborrowlong/issues
Depends: R (>= 4.0.0)
Imports: clustermq, dplyr, ggplot2, MASS, Matrix, methods, posterior, Rcpp, RcppParallel, rlang, rstan, rstantools, stats, tibble, tidyr, tidyselect, trialr, utils, withr, zoo
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
Biarch: true
LinkingTo: BH, Rcpp, RcppEigen, RcppParallel, rstan, StanHeaders
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2022-09-12 16:08:28 UTC; c240390
Author: William Michael Landau [aut, cre] , Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:20:06 UTC

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Package gitlabr updated to version 2.0.1 with previous version 2.0.0 dated 2021-08-05

Title: Access to the 'Gitlab' API
Description: Provides R functions to access the API of the project and repository management web application 'GitLab'. For many common tasks (repository file access, issue assignment and status, commenting) convenience wrappers are provided, and in addition the full API can be used by specifying request locations. 'GitLab' is open-source software and can be self-hosted or used on <https://about.gitlab.com>.
Author: Jirka Lewandowski [aut], Sebastien Rochette [aut, cre]
Maintainer: Sebastien Rochette <sebastien@thinkr.fr>

Diff between gitlabr versions 2.0.0 dated 2021-08-05 and 2.0.1 dated 2022-09-13

 DESCRIPTION                                        |   26 -
 MD5                                                |   82 ++---
 NAMESPACE                                          |    2 
 NEWS.md                                            |   11 
 R/ci.R                                             |   12 
 R/connect.R                                        |    2 
 R/gitlab_api.R                                     |   17 -
 R/projects_and_repos.R                             |   20 +
 README.md                                          |  113 ++-----
 build/vignette.rds                                 |binary
 inst/doc/a-quick-start-guide-to-gitlabr.Rmd        |    7 
 inst/doc/a-quick-start-guide-to-gitlabr.html       |  285 +++++++++++++++++-
 inst/doc/b-projects.Rmd                            |   13 
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New package historicalborrow with initial version 1.0.4
Package: historicalborrow
Title: Non-Longitudinal Bayesian Historical Borrowing Models
Description: Historical borrowing in clinical trials can improve precision and operating characteristics. This package supports a hierarchical model and a mixture model to borrow historical control data from other studies to better characterize the control response of the current study. It also quantifies the amount of borrowing through benchmark models (independent and pooled). Some of the methods are discussed by Viele et al. (2013) <doi:10.1002/pst.1589>.
Version: 1.0.4
License: MIT + file LICENSE
URL: https://wlandau.github.io/historicalborrow/, https://github.com/wlandau/historicalborrow
BugReports: https://github.com/wlandau/historicalborrow/issues
Depends: R (>= 3.5.0)
Imports: dplyr, ggplot2, Matrix, posterior, rjags, rlang, stats, tibble, tidyr, tidyselect, utils
Suggests: knitr, markdown, rmarkdown, testthat (>= 3.0.0)
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-12 12:46:56 UTC; c240390
Author: William Michael Landau [aut, cre] , Albert Man [rev], Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:20:10 UTC

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New package BFF with initial version 1.0.0
Package: BFF
Title: Bayes Factor Functions
Version: 1.0.0
Author: Rachael Shudde [aut, cre], Sandy Pramanik [aut], Valen E. Johnson [aut]
Maintainer: Rachael Shudde <rachael.shudde@gmail.com>
Description: Bayes factors represent the ratio of probabilities assigned to data by competing scientific hypotheses. Drawbacks of Bayes factors are their dependence on prior specifications that define null and alternative hypotheses and difficulties encountered in their computation. To address these problems we define Bayes factor functions (BFF) directly from common test statistics. BFFs depend on a single non-centrality parameter that can be expressed as a function of standardized effect sizes, and plots of BFFs versus effect size provide informative summaries of hypothesis tests that can be easily aggregated across studies. Such summaries eliminate the need for arbitrary bright-line thresholds to determine “statistical significance.” BFFs are available in closed form and can be computed easily from z, t, chi^2, and F statistics.
License: GPL (>= 2)
Encoding: UTF-8
Imports: BSDA, grDevices, graphics
Suggests: testthat (>= 2.1.0), knitr, rmarkdown
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-09-12 11:59:26 UTC; rachaelshudde
Repository: CRAN
Date/Publication: 2022-09-13 10:30:05 UTC

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New package besthr with initial version 0.3.0
Package: besthr
Title: Generating Bootstrap Estimation Distributions of HR Data
Version: 0.3.0
Description: Creates plots showing scored HR experiments and plots of distribution of means of ranks of HR score from bootstrapping. Authors (2019) <doi:10.5281/zenodo.3374507>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, ggplot2, ggridges, magrittr, patchwork, rlang, stringr, tibble
Suggests: knitr, rmarkdown, readr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-12 10:37:30 UTC; macleand
Author: Dan MacLean [aut, cre]
Maintainer: Dan MacLean <dan.maclean@tsl.ac.uk>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:14 UTC

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New package admiralonco with initial version 0.1.0
Package: admiralonco
Title: Oncology Extension Package for ADaM in 'R' Asset Library
Version: 0.1.0
Description: Programming oncology specific Clinical Data Interchange Standards Consortium (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets are a mandatory part of any New Drug or Biologics License Application submitted to the United States Food and Drug Administration (FDA). Analysis derivations are implemented in accordance with the "Analysis Data Model Implementation Guide" (CDISC Analysis Data Model Team (2021), <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>). The package is an extension package of the 'admiral' package.
Language: en-US
License: Apache License (>= 2)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5)
Imports: admiral (>= 0.8.0), admiraldev, dplyr (>= 0.8.4), lubridate (>= 1.7.4), magrittr (>= 1.5), rlang (>= 0.4.4), tidyselect (>= 1.0.0)
Suggests: admiral.test, devtools, diffdf, lifecycle, lintr, pkgdown, testthat (>= 3.0.0), knitr, methods, miniUI, rmarkdown, roxygen2, spelling, stringr, styler, tibble, usethis, covr, DT
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-09-12 09:10:07 UTC; bundfuss
Author: Stefan Bundfuss [aut, cre], Ross Farrugia [aut], Amit Jain [aut], Andrew Smith [aut], Teckla Akinyi [aut], Samia Kabi [aut], Stephen Gormley [aut], Hinal Patel [aut], Karl Kennedy [ctb], Matt Marino [ctb], Gopi Vegesna [ctb], Thomas Neitmann [ctb], A [...truncated...]
Maintainer: Stefan Bundfuss <stefan.bundfuss@roche.com>
Repository: CRAN
Date/Publication: 2022-09-13 10:10:16 UTC

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New package TDboost with initial version 1.4
Package: TDboost
Title: A Boosted Tweedie Compound Poisson Model
Version: 1.4
Date: 2022-09-12
Depends: R (>= 2.12.0), lattice
Description: An implementation of a boosted Tweedie compound Poisson model proposed by Yang, Y., Qian, W. and Zou, H. (2018) <doi:10.1080/07350015.2016.1200981>. It is capable of fitting a flexible nonlinear Tweedie compound Poisson model (or a gamma model) and capturing high-order interactions among predictors. This package is based on the 'gbm' package originally developed by Greg Ridgeway.
LazyData: yes
License: GPL-3
Packaged: 2022-09-12 04:14:15 UTC; jiaozi
NeedsCompilation: yes
Date/Publication: 2022-09-13 10:00:05 UTC
Author: Yi Yang [aut, cre] , Hui Zou [aut] , Wei Qian [aut] , Greg Ridgeway [ctb, cph]
Maintainer: Yi Yang <yi.yang6@mcgill.ca>
Repository: CRAN

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New package degday with initial version 0.4.0
Package: degday
Title: Compute Degree Days
Version: 0.4.0
Date: 2022-09-09
Description: Compute degree days from daily min and max temperatures for modeling plant and insect development.
License: GPL (>= 3)
URL: https://github.com/ucanr-igis/degday/
BugReports: https://github.com/ucanr-igis/degday/issues/
Depends: R (>= 3.5)
Imports: crayon, magrittr, methods, zoo
Suggests: cimir, dplyr, knitr, testthat (>= 3.0.0), tidyr, units
Encoding: UTF-8
Language: en-US
NeedsCompilation: no
Packaged: 2022-09-12 00:28:50 UTC; Andy
Author: Andy Lyons [aut, cre] , Regents of the University of California [cph]
Maintainer: Andy Lyons <andlyons@ucanr.edu>
Repository: CRAN
Date/Publication: 2022-09-13 10:00:02 UTC

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Package widyr updated to version 0.1.5 with previous version 0.1.4 dated 2021-08-12

Title: Widen, Process, then Re-Tidy Data
Description: Encapsulates the pattern of untidying data into a wide matrix, performing some processing, then turning it back into a tidy form. This is useful for several operations such as co-occurrence counts, correlations, or clustering that are mathematically convenient on wide matrices.
Author: David Robinson [aut], Kanishka Misra [ctb], Julia Silge [aut, cre]
Maintainer: Julia Silge <julia.silge@gmail.com>

Diff between widyr versions 0.1.4 dated 2021-08-12 and 0.1.5 dated 2022-09-13

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Package rgee updated to version 1.1.5 with previous version 1.1.4 dated 2022-07-16

Title: R Bindings for Calling the 'Earth Engine' API
Description: Earth Engine <https://earthengine.google.com/> client library for R. All of the 'Earth Engine' API classes, modules, and functions are made available. Additional functions implemented include importing (exporting) of Earth Engine spatial objects, extraction of time series, interactive map display, assets management interface, and metadata display. See <https://r-spatial.github.io/rgee/> for further details.
Author: Cesar Aybar [aut, cre] , Wu Qiusheng [ctb] , Lesly Bautista [ctb] , Roy Yali [ctb] , Antony Barja [ctb] , Kevin Ushey [ctb], Jeroen Ooms [ctb] , Tim Appelhans [ctb], JJ Allaire [ctb], Yuan Tang [ctb], Samapriya Roy [ctb], MariaElena Adauto [ctb] , Ga [...truncated...]
Maintainer: Cesar Aybar <csaybar@gmail.com>

Diff between rgee versions 1.1.4 dated 2022-07-16 and 1.1.5 dated 2022-09-13

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Package Matrix updated to version 1.5-1 with previous version 1.5-0 dated 2022-09-10

Title: Sparse and Dense Matrix Classes and Methods
Description: A rich hierarchy of matrix classes, including triangular, symmetric, and diagonal matrices, both dense and sparse and with pattern, logical and numeric entries. Numerous methods for and operations on these matrices, using 'LAPACK' and 'SuiteSparse' libraries.
Author: Douglas Bates [aut], Martin Maechler [aut, cre] , Mikael Jagan [aut] , Timothy A. Davis [ctb] )), Jens Oehlschlaegel [ctb] ), Jason Riedy [ctb] and onenormest for octave, Copyright: Regents of the University of California), R Core Team [ctb]
Maintainer: Martin Maechler <mmaechler+Matrix@gmail.com>

Diff between Matrix versions 1.5-0 dated 2022-09-10 and 1.5-1 dated 2022-09-13

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Package irtplay (with last version 1.6.5) was removed from CRAN

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

2022-08-16 1.6.5
2022-03-30 1.6.4
2021-11-04 1.6.3
2020-12-15 1.6.2
2020-08-13 1.6.1
2020-07-15 1.6.0
2020-06-17 1.5.1
2020-04-13 1.5.0
2020-02-21 1.4.1
2020-01-24 1.4.0
2019-11-18 1.3.0
2019-10-17 1.2.0
2019-09-18 1.1.0
2019-08-24 1.0.0

Permanent link
Package Repliscope updated to version 1.1.1 with previous version 1.1.0 dated 2019-07-15

Title: Replication Timing Profiling using DNA Copy Number
Description: Create, Plot and Compare Replication Timing Profiles. The method is described in Muller et al., (2014) <doi: 10.1093/nar/gkt878>.
Author: Dzmitry G Batrakou
Maintainer: Dzmitry G Batrakou <d.batrakou@gmail.com>

Diff between Repliscope versions 1.1.0 dated 2019-07-15 and 1.1.1 dated 2022-09-13

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New package nlive with initial version 0.1.0
Package: nlive
Title: Automated Estimation of Sigmoidal and Piecewise Linear Mixed Models
Version: 0.1.0
Date: 2022-09-12
Maintainer: Maude Wagner <maude_wagner@rush.edu>
Description: Estimation of relatively complex nonlinear mixed-effects models, including the Sigmoidal Mixed Model and the Piecewise Linear Mixed Model with abrupt or smooth transition, through a single intuitive line of code and with automated generation of starting values.
License: MIT + file LICENSE
URL: https://github.com/MaudeWagner/nlive
Encoding: UTF-8
LazyLoad: yes
LazyData: yes
Depends: R (>= 2.10)
Imports: dplyr, nlraa, sqldf, ggplot2, graphics, lcmm, saemix, Rmisc, sitar, stats, knitr
Suggests: rmarkdown, MASS, survival, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2022-09-12 23:13:15 UTC; Maude W
Author: Maude Wagner [aut, cre] , Ana W. Capuano [aut], Emmanuelle Comets [ctb]
Repository: CRAN
Date/Publication: 2022-09-13 07:30:02 UTC

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Package metansue updated to version 2.5 with previous version 2.4 dated 2020-04-12

Title: Meta-Analysis of Studies with Non-Statistically Significant Unreported Effects
Description: Novel method to unbiasedly include studies with Non-statistically Significant Unreported Effects (NSUEs) in a meta-analysis. First, the method calculates the interval where the unreported effects (e.g., t-values) should be according to the threshold of statistical significance used in each study. Afterwards, the method uses maximum likelihood techniques to impute the expected effect size of each study with NSUEs, accounting for between-study heterogeneity and potential covariates. Multiple imputations of the NSUEs are then randomly created based on the expected value, variance, and statistical significance bounds. Finally, it conducts a restricted-maximum likelihood random-effects meta-analysis separately for each set of imputations and it conducts estimations from these meta-analyses. Please read the reference in 'metansue' for details of the procedure.
Author: Joaquim Radua
Maintainer: Joaquim Radua <radua@recerca.clinic.cat>

Diff between metansue versions 2.4 dated 2020-04-12 and 2.5 dated 2022-09-13

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Package conquer updated to version 1.3.1 with previous version 1.3.0 dated 2022-03-21

Title: Convolution-Type Smoothed Quantile Regression
Description: Estimation and inference for conditional linear quantile regression models using a convolution smoothed approach. In the low-dimensional setting, efficient gradient-based methods are employed for fitting both a single model and a regression process over a quantile range. Normal-based and (multiplier) bootstrap confidence intervals for all slope coefficients are constructed. In high dimensions, the conquer method is complemented with flexible types of penalties (Lasso, elastic-net, group lasso, sparse group lasso, scad and mcp) to deal with complex low-dimensional structures.
Author: Xuming He [aut], Xiaoou Pan [aut, cre], Kean Ming Tan [aut], Wen-Xin Zhou [aut]
Maintainer: Xiaoou Pan <xip024@ucsd.edu>

Diff between conquer versions 1.3.0 dated 2022-03-21 and 1.3.1 dated 2022-09-13

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Package iapws updated to version 0.12 with previous version 0.11 dated 2022-09-06

Title: Formulations of the International Association for the Properties of Water and Steam
Description: Implementation of some of the formulations for the thermodynamic and transport properties released by the International Association for the Properties of Water and Steam (IAPWS). More specifically, the releases referenced R1-76(2014), R6-95(2018), R7-97(2012), R8-97, R12-08 and R15-11 at <http://iapws.org>.
Author: Jonathan Debove [aut, cre]
Maintainer: Jonathan Debove <jondebove@gmail.com>

Diff between iapws versions 0.11 dated 2022-09-06 and 0.12 dated 2022-09-13

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Package geojsonio updated to version 0.9.5 with previous version 0.9.4 dated 2021-01-13

Title: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description: Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including vectors, lists, data frames, shape files, and spatial classes. 'geojsonio' does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather aims to be a high level client to simplify conversions of data from and to 'GeoJSON' and 'TopoJSON'.
Author: Scott Chamberlain [aut], Andy Teucher [aut], Michael Mahoney [aut, cre]
Maintainer: Michael Mahoney <mike.mahoney.218@gmail.com>

Diff between geojsonio versions 0.9.4 dated 2021-01-13 and 0.9.5 dated 2022-09-13

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 geojsonio-0.9.5/geojsonio/R/mapgist.R                           |  283 +++----
 geojsonio-0.9.5/geojsonio/R/mapleaflet.R                        |   99 +-
 geojsonio-0.9.5/geojsonio/R/onLoad.R                            |    6 
 geojsonio-0.9.5/geojsonio/R/postgis.R                           |   75 -
 geojsonio-0.9.5/geojsonio/R/projections.r                       |   57 -
 geojsonio-0.9.5/geojsonio/R/rbindfill.R                         |  107 +-
 geojsonio-0.9.5/geojsonio/R/topojson_json.R                     |  142 ++-
 geojsonio-0.9.5/geojsonio/R/topojson_list.R                     |  122 +--
 geojsonio-0.9.5/geojsonio/R/topojson_read.R                     |   15 
 geojsonio-0.9.5/geojsonio/R/topojson_write.R                    |  348 ++++-----
 geojsonio-0.9.5/geojsonio/R/zzz.r                               |  321 ++++----
 geojsonio-0.9.5/geojsonio/man/as.json.Rd                        |    4 
 geojsonio-0.9.5/geojsonio/man/bounds.Rd                         |   12 
 geojsonio-0.9.5/geojsonio/man/centroid.Rd                       |   10 
 geojsonio-0.9.5/geojsonio/man/file_to_geojson.Rd                |   12 
 geojsonio-0.9.5/geojsonio/man/geo2topo.Rd                       |   12 
 geojsonio-0.9.5/geojsonio/man/geojson-add.Rd                    |   22 
 geojsonio-0.9.5/geojsonio/man/geojson_atomize.Rd                |   40 -
 geojsonio-0.9.5/geojsonio/man/geojson_json.Rd                   |  159 ++--
 geojsonio-0.9.5/geojsonio/man/geojson_list.Rd                   |  135 ++-
 geojsonio-0.9.5/geojsonio/man/geojson_read.Rd                   |   17 
 geojsonio-0.9.5/geojsonio/man/geojson_sf.Rd                     |   42 -
 geojsonio-0.9.5/geojsonio/man/geojson_sp.Rd                     |   42 -
 geojsonio-0.9.5/geojsonio/man/geojson_style.Rd                  |   70 +
 geojsonio-0.9.5/geojsonio/man/geojson_write.Rd                  |   78 +-
 geojsonio-0.9.5/geojsonio/man/map_gist.Rd                       |  249 +++---
 geojsonio-0.9.5/geojsonio/man/map_leaf.Rd                       |   80 +-
 geojsonio-0.9.5/geojsonio/man/postgis.Rd                        |   51 -
 geojsonio-0.9.5/geojsonio/man/projections.Rd                    |   18 
 geojsonio-0.9.5/geojsonio/man/topojson_json.Rd                  |  126 +--
 geojsonio-0.9.5/geojsonio/man/topojson_list.Rd                  |  102 +-
 geojsonio-0.9.5/geojsonio/tests/testthat.R                      |only
 geojsonio-0.9.5/geojsonio/tests/testthat/helper-geojsonio.R     |    2 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-as.json.R         |   40 -
 geojsonio-0.9.5/geojsonio/tests/testthat/test-as.location.R     |    8 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-bounds.R          |   10 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-centroid.R        |   12 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-construction.R    |   30 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-file_to_geojson.R |  113 +-
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geo_topo.R        |   17 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_atomize.R |   26 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_json.R    |  128 ++-
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_list.R    |  210 +++--
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_read.R    |   18 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_sf.R      |   30 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_sp.R      |   30 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-geojson_write.R   |  121 +--
 geojsonio-0.9.5/geojsonio/tests/testthat/test-map_gist.R        |   70 -
 geojsonio-0.9.5/geojsonio/tests/testthat/test-mapleaflet.R      |   54 -
 geojsonio-0.9.5/geojsonio/tests/testthat/test-onload.R          |    6 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-pretty.R          |   12 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-projections.R     |   15 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-rbind_fill.R      |   12 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-sf_classes.R      |  255 +++---
 geojsonio-0.9.5/geojsonio/tests/testthat/test-spatial_methods.R |   37 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-topojson_json.R   |   30 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-topojson_list.R   |   30 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-topojson_read.R   |   17 
 geojsonio-0.9.5/geojsonio/tests/testthat/test-topojson_write.R  |    1 
 82 files changed, 3376 insertions(+), 2602 deletions(-)

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