Sun, 04 Jul 2021

Package bootES updated to version 1.2.1 with previous version 1.2 dated 2015-08-14

Title: Bootstrap Confidence Intervals on Effect Sizes
Description: Calculate robust measures of effect sizes using the bootstrap.
Author: Daniel Gerlanc [aut, cre], Kris Kirby [aut]
Maintainer: Daniel Gerlanc <dan@gerlanc.com>

Diff between bootES versions 1.2 dated 2015-08-14 and 1.2.1 dated 2021-07-04

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Package SHT updated to version 0.1.5 with previous version 0.1.4 dated 2021-06-22

Title: Statistical Hypothesis Testing Toolbox
Description: We provide a collection of statistical hypothesis testing procedures ranging from classical to modern methods for non-trivial settings such as high-dimensional scenario. For the general treatment of statistical hypothesis testing, see the book by Lehmann and Romano (2005) <doi:10.1007/0-387-27605-X>.
Author: Kyoungjae Lee [aut], Lizhen Lin [aut], Kisung You [aut, cre] (<https://orcid.org/0000-0002-8584-459X>)
Maintainer: Kisung You <kisungyou@outlook.com>

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New package rsqliteadmin with initial version 1.0.1
Package: rsqliteadmin
Title: A GUI to Manage SQLite Databases
Description: A comprehensive tool written in R Shiny to explore, manage and update SQLite Databases.
Version: 1.0.1
Date: 2021-07-05
Authors@R: c( person( "Vijay", "Barve", email = "vijay.barve@gmail.com", role = c("aut"), comment = c(ORCID = '0000-0002-4852-2567')), person( "Thiloshon", "Nagarajah", email = "thiloshon@gmail.com", role = c("aut"), comment = c(ORCID = '0000-0001-8607-7145')), person( "Narayani", "Barve", email = "narayani.ku@gmail.com", role = c("aut"), comment = c(ORCID = '0000-0002-7893-8774')), person( "Marlon E.", "Cobos", email = "manubio13@gmail.com", role = c("aut"), comment = c(ORCID = '0000-0002-2611-1767')), person( "Divyansh", "Chawla", email = "code.divyansh@gmail.com", role = c("cre", "aut")) )
Maintainer: Divyansh Chawla <code.divyansh@gmail.com>
Imports: config, golem, shiny, RSQLite, DT, shinyFiles, fs, shinyAce, shinyjqui, shinydashboard, disk.frame, data.table, magrittr
URL: https://github.com/rsqliteadmin/rsqliteadmin
BugReports: https://github.com/rsqliteadmin/rsqliteadmin/issues
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-07-04 19:18:34 UTC; divya
Author: Vijay Barve [aut] (<https://orcid.org/0000-0002-4852-2567>), Thiloshon Nagarajah [aut] (<https://orcid.org/0000-0001-8607-7145>), Narayani Barve [aut] (<https://orcid.org/0000-0002-7893-8774>), Marlon E. Cobos [aut] (<https://orcid.org/0000-0002-2611-1767>), Divyansh Chawla [cre, aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2021-07-04 20:50:02 UTC

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Package learnrbook updated to version 1.0.2 with previous version 1.0.1 dated 2020-08-25

Title: Datasets and Code Examples from P. J. Aphalo's "Learn R" Book
Description: Data, scripts and code from chunks used as examples in the book "Learn R: As a Language" by Pedro J. Aphalo. ISBN 9780367182533 (pbk); ISBN 9780367182557 (hbk); ISBN 9780429060342 (ebk).
Author: Pedro J. Aphalo [aut, cre] (<https://orcid.org/0000-0003-3385-972X>)
Maintainer: Pedro J. Aphalo <pedro.aphalo@helsinki.fi>

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Package IntCal updated to version 0.2.0 with previous version 0.1.3 dated 2020-09-25

Title: Radiocarbon Calibration Curves
Description: The IntCal20 radiocarbon calibration curves (Reimer et al. 2020 <doi:10.1017/RDC.2020.68>) are provided here in a single data package, together with previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98) and postbomb curves. Also provided are functions to copy the curves into memory, and to plot the curves and their underlying data.
Author: Maarten Blaauw [aut, cre]
Maintainer: Maarten Blaauw <maarten.blaauw@qub.ac.uk>

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Package collapse updated to version 1.6.2 with previous version 1.6.0 dated 2021-06-28

Title: Advanced and Fast Data Transformation
Description: A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and non-destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, unique values / rows, factor generation and interactions. Fast and flexible functions for data manipulation and data object conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast row / column arithmetic, (grouped) replacing and sweeping out of statistics, (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction / partialling-out, linear model fitting and testing. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences, (compounded) growth rates, and cumulative sums on (unordered, irregular) time series and panel data. Multivariate auto-, partial- and cross-correlation functions for panel data. Panel data to (ts-)array conversions. (5) List processing: (Recursive) list search / identification, splitting, extraction / subsetting, data-apply, and generalized recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel-decomposed) summary statistics for complex multilevel / panel data.
Author: Sebastian Krantz [aut, cre], Matt Dowle [ctb], Arun Srinivasan [ctb], Laurent Berge [ctb], Dirk Eddelbuettel [ctb], Josh Pasek [ctb], Kevin Tappe [ctb], R Core Team and contributors worldwide [ctb], Martyn Plummer [cph], 1999-2016 The R Core Team [cph]
Maintainer: Sebastian Krantz <sebastian.krantz@graduateinstitute.ch>

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Package pksensi updated to version 1.2.2 with previous version 1.2.1 dated 2021-06-18

Title: Global Sensitivity Analysis in Physiologically Based Kinetic Modeling
Description: Applying the global sensitivity analysis workflow to investigate the parameter uncertainty and sensitivity in physiologically based kinetic (PK) models, especially the physiologically based pharmacokinetic/toxicokinetic model with multivariate outputs. The package also provides some functions to check the convergence and sensitivity of model parameters. The workflow was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>, then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).
Author: Nan-Hung Hsieh [aut, cre] (<https://orcid.org/0000-0003-0163-2766>), Brad Reisfeld [ctb] (<https://orcid.org/0000-0003-1310-1495>), Weihsueh A. Chiu [ctb] (<https://orcid.org/0000-0002-7575-2368>)
Maintainer: Nan-Hung Hsieh <d99622005@ntu.edu.tw>

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New package leafR with initial version 0.3.5
Package: leafR
Title: Calculates the Leaf Area Index (LAD) and Other Related Functions
Version: 0.3.5
Authors@R: c( person(given="Danilo Roberti Alves de", family="Almeida", email="daniloflorestas@gmail.com", role=c("aut", "cre"), comment=c(ORCID="https://orcid.org/0000-0002-8747-0085")), person(given="Scott Christopher", family="Stark", email="scottcstark@gmail.com", role=c("aut"), comment=c(ORCID="https://orcid.org/0000-0002-1579-1648")), person(given="Carlos Alberto", family="Silva", email="carlos_engflorestal@outlook.com", role=c("aut"), comment=c(ORCID="https://orcid.org/0000-0002-7844-3560")), person(given="Caio", family="Hamamura", email="caiohamamura@gmail.com", role=c("aut"), comment=c(ORCID="https://orcid.org/0000-0001-6149-5885")), person(given="Ruben", family="Valbuena", email="rubenvalpue@gmail.com", role=c("aut"), comment=c(ORCID="https://orcid.org/0000-0003-0493-7581")) )
Description: A set of functions for analyzing the structure of forests based on the leaf area density (LAD) and leaf area index (LAI) measures calculated from Airborne Laser Scanning (ALS), i.e., scanning lidar (Light Detection and Ranging) data. The methodology is discussed and described in Almeida et al. (2019) <doi:10.3390/rs11010092> and Stark et al. (2012) <doi:10.1111/j.1461-0248.2012.01864.x>.
Imports: lidR, sp, data.table, raster, stats
License: GPL-3
Encoding: UTF-8
URL: https://github.com/DRAAlmeida/leafR, https://leafr.r-forge.r-project.org
BugReports: https://github.com/DRAAlmeida/leafR/issues
Author: Danilo Roberti Alves de Almeida [aut, cre] (<https://orcid.org/0000-0002-8747-0085>), Scott Christopher Stark [aut] (<https://orcid.org/0000-0002-1579-1648>), Carlos Alberto Silva [aut] (<https://orcid.org/0000-0002-7844-3560>), Caio Hamamura [aut] (<https://orcid.org/0000-0001-6149-5885>), Ruben Valbuena [aut] (<https://orcid.org/0000-0003-0493-7581>)
Maintainer: Danilo Roberti Alves de Almeida <daniloflorestas@gmail.com>
Repository: CRAN
Repository/R-Forge/Project: leafr
Repository/R-Forge/Revision: 9
Repository/R-Forge/DateTimeStamp: 2021-07-02 01:39:40
Date/Publication: 2021-07-04 18:30:02 UTC
NeedsCompilation: no
Packaged: 2021-07-02 01:54:06 UTC; rforge

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Package eirm updated to version 0.4 with previous version 0.3 dated 2021-02-23

Title: Explanatory Item Response Modeling for Dichotomous and Polytomous Items
Description: Analysis of dichotomous and polytomous response data using the explanatory item response modeling framework, as described in Stanke & Bulut (2019) <doi:10.21449/ijate.515085> and De Boeck & Wilson (2004) <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used for estimating the effects of item-related and person-related variables on dichotomous and polytomous item responses.
Author: Okan Bulut [aut, cre] (<https://orcid.org/0000-0001-5853-1267>)
Maintainer: Okan Bulut <bulut@ualberta.ca>

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Package bqror updated to version 0.1.5 with previous version 0.1.4 dated 2021-01-24

Title: Bayesian Quantile Regression for Ordinal Models
Description: Provides an estimation technique for Bayesian quantile regression in ordinal models. Two algorithms are considered - one for an ordinal model with three outcomes and the other for an ordinal model with more than 3 outcomes. It further provides model performance criteria and trace plots for Markov chain Monte Carlo (MCMC) draws. Rahman, M. A. (2016) <doi:10.1214/15-BA939>. Greenberg, E. (2012) <doi:10.1017/CBO9781139058414>. Spiegelhalter, D. J., Best, N. G., Carlin B. P. and Linde A. (2002) <doi:10.1111/1467-9868.00353>.
Author: Dr. Mohammad Arshad Rahman Developer [aut], Prajual Maheshwari [cre]
Maintainer: Prajual Maheshwari <prajual1391@gmail.com>

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Package umx updated to version 4.9.0 with previous version 4.8.0 dated 2021-05-31

Title: Structural Equation and Twin Modeling in R
Description: Quickly create, run, and report structural equation and twin models. See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS. Timothy C. Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for Structural Equation and Twin Modelling in R. Twin Research and Human Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.
Author: Timothy C. Bates [aut, cre] (<https://orcid.org/0000-0002-1153-9007>), Gillespie Nathan [wit], Michael Zakharin [wit], Brenton Wiernik [ctb], Joshua N. Pritikin [ctb], Michael C. Neale [ctb], Hermine Maes [ctb]
Maintainer: Timothy C. Bates <timothy.c.bates@gmail.com>

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Package vapour updated to version 0.7.0 with previous version 0.6.5 dated 2021-06-28

Title: Lightweight Access to the 'Geospatial Data Abstraction Library' ('GDAL')
Description: Provides low-level access to 'GDAL' functionality for R packages. 'GDAL' is the 'Geospatial Data Abstraction Library' a translator for raster and vector geospatial data formats that presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats <https://gdal.org/>.
Author: Michael Sumner [aut, cre] (<https://orcid.org/0000-0002-2471-7511>), Simon Wotherspoon [ctb] (figured out the mechanism for the resampling algorithm), Mark Padgham [ctb] (helped get started :)), Edzer Pebesma [ctb] (wrote allocate_attribute, copied here from sf), Roger Bivand [ctb] (wrote configure.ac, adapted here from rgdal), Jim Hester [ctb] (wrote CollectorList.h, copied here from fs package), Timothy Keitt [ctb] (wrote GetPointsInternal copied here from rgdal2 package), Jeroen Ooms [ctb] (tweaked build process, provided Windows build tools), Dale Maschette [ctb] (created the hex logo), Joseph Stachelek [ctb], Even Rouault [ctb] (primary author of the COG format and its use of the GDALwarp app-library, example code used by the warper function here), Robert Hijmans [ctb] (wrote some source in the warper, terra package used as example/inspiration)
Maintainer: Michael Sumner <mdsumner@gmail.com>

Diff between vapour versions 0.6.5 dated 2021-06-28 and 0.7.0 dated 2021-07-04

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Package Trading updated to version 2.2 with previous version 2.1 dated 2020-08-12

Title: CCR, Entropy-Based Correlation Estimates & Dynamic Beta
Description: Contains performance analysis metrics of track records including entropy-based correlation and dynamic beta based on the Kalman filter. The normalized sample entropy method has been implemented which produces accurate entropy estimation even on smaller datasets while for the dynamic beta calculation the Kalman filter methodology has been utilized. On a separate stream, trades from the five major assets classes and also functionality to use pricing curves, rating tables, CSAs and add-on tables. The implementation follows an object oriented logic whereby each trade inherits from more abstract classes while also the curves/tables are objects. There is a lot of functionality focusing on the counterparty credit risk calculations however the package can be used for trading applications in general.
Author: Tasos Grivas
Maintainer: Tasos Grivas <info@openriskcalculator.com>

Diff between Trading versions 2.1 dated 2020-08-12 and 2.2 dated 2021-07-04

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Package hpa updated to version 1.2.1 with previous version 1.2.0 dated 2021-06-15

Title: Distributions Hermite Polynomial Approximation
Description: Multivariate conditional and marginal densities, moments, cumulative distribution functions as well as binary choice and sample selection models based on Hermite polynomial approximation which was proposed and described by A. Gallant and D. W. Nychka (1987) <doi:10.2307/1913241>.
Author: Potanin Bogdan
Maintainer: Potanin Bogdan <bogdanpotanin@gmail.com>

Diff between hpa versions 1.2.0 dated 2021-06-15 and 1.2.1 dated 2021-07-04

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Package ecochange updated to version 1.9 with previous version 1.3 dated 2020-10-13

Title: Integrating Ecological Remote Sensing Data to Derive EBV Metrics
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that can document biodiversity change. Freely available remote sensing products (RSP) are downloaded and integrated with data for national or regional domains to derive metrics for EBV related to horizontal ecosystem extent, forest fragmentation, species distribution ranges, among others. To process the spatial data, the users must provide at least a region of interest (polygon or geographic administrative unit). Downloadable RSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
Author: Wilson Lara Henao [aut, cre], Victor Gutierrez-Velez [aut], Ivan Gonzales [aut]
Maintainer: Wilson Lara Henao <wilarhen@gmail.com>

Diff between ecochange versions 1.3 dated 2020-10-13 and 1.9 dated 2021-07-04

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Package dialrjars updated to version 8.12.26 with previous version 8.12.25 dated 2021-06-18

Title: Required 'libphonenumber' jars for the 'dialr' Package
Description: Collects 'libphonenumber' jars required for the 'dialr' package.
Author: Danny Smith [aut, cre], Google Inc. [ctb, cph] (libphonenumber), Vonage Holdings Corp. [ctb, cph] (libphonenumber), Ian Galpin [ctb, cph] (libphonenumber), Ben Gertzfield [ctb, cph] (libphonenumber)
Maintainer: Danny Smith <danny@gorcha.org>

Diff between dialrjars versions 8.12.25 dated 2021-06-18 and 8.12.26 dated 2021-07-04

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Package tableone updated to version 0.13.0 with previous version 0.12.0 dated 2020-07-26

Title: Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights
Description: Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package.
Author: Kazuki Yoshida [cre, aut] (<https://orcid.org/0000-0002-2030-3549>), Alexander Bartel [ctb, aut] (<https://orcid.org/0000-0002-1280-6138>), Jonathan J Chipman [ctb], Justin Bohn [ctb], Lucy DAgostino McGowan [ctb], Malcolm Barrett [ctb], Rune Haubo B Christensen [ctb], gbouzill [ctb]
Maintainer: Kazuki Yoshida <kazukiyoshida@mail.harvard.edu>

Diff between tableone versions 0.12.0 dated 2020-07-26 and 0.13.0 dated 2021-07-04

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Package dataprep updated to version 0.1.4 with previous version 0.1.3 dated 2021-05-28

Title: Efficient and Flexible Data Preprocessing Tools
Description: Efficiently and flexibly preprocess data using a set of data filtering, deletion, and interpolation tools. These data preprocessing methods are developed based on the principles of completeness, accuracy, threshold method, and linear interpolation and through the setting of constraint conditions, time completion & recovery, and fast & efficient calculation and grouping. Key preprocessing steps include deletions of variables and observations, outlier removal, and missing values (NA) interpolation, which are dependent on the incomplete and dispersed degrees of raw data. They clean data more accurately, keep more samples, and add no outliers after interpolation, compared with ordinary methods. Auto-identification of consecutive NA via run-length based grouping is used in observation deletion, outlier removal, and NA interpolation; thus, new outliers are not generated in interpolation. Conditional extremum is proposed to realize point-by-point weighed outlier removal that saves non-outliers from being removed. Plus, time series interpolation with values to refer to within short periods further ensures reliable interpolation. These methods are based on and improved from the reference: Liang, C.-S., Wu, H., Li, H.-Y., Zhang, Q., Li, Z. & He, K.-B. (2020) <doi:10.1016/j.scitotenv.2020.140923>.
Author: Chun-Sheng Liang <liangchunsheng@lzu.edu.cn>, Hao Wu, Hai-Yan Li, Qiang Zhang, Zhanqing Li, Ke-Bin He, Lanzhou University, Tsinghua University
Maintainer: Chun-Sheng Liang <liangchunsheng@lzu.edu.cn>

Diff between dataprep versions 0.1.3 dated 2021-05-28 and 0.1.4 dated 2021-07-04

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Package greeks updated to version 0.3.0 with previous version 0.2.0 dated 2021-05-31

Title: Sensitivities of Prices of Financial Options
Description: Methods to calculate sensitivities of financial option prices for European and Asian and American options in the Black Scholes model. Classical formulas are implemented for European options in the Black Scholes Model, as is presented in Hull, J. C. (2017). Options, Futures, and Other Derivatives, Global Edition (9th Edition). Pearson. In the case of Asian options, Malliavin Monte Carlo Greeks are implemented, see Hudde, A. & Rüschendorf, L. (2016). European and Asian Malliavin Monte Carlo Greeks for general Jump Diffusions with nonvanishing Brownian motion part. <arXiv:1603.00920>. For American options, the Binomial Tree Method is implemented, see also as is presented in Hull, J. C. (2017).
Author: Anselm Hudde [aut, cre] (<https://orcid.org/0000-0002-5652-2815>)
Maintainer: Anselm Hudde <anselmhudde@gmx.de>

Diff between greeks versions 0.2.0 dated 2021-05-31 and 0.3.0 dated 2021-07-04

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Package Rmbal (with last version 0.1.0) was removed from CRAN

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

2020-07-06 0.1.0

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Package cdfquantreg updated to version 1.2.5 with previous version 1.2.4 dated 2021-06-13

Title: Quantile Regression for Random Variables on the Unit Interval
Description: Employs a two-parameter family of distributions for modelling random variables on the (0, 1) interval by applying the cumulative distribution function (cdf) of one parent distribution to the quantile function of another.
Author: Yiyun Shou [aut, cre], Michael Smithson [aut]
Maintainer: Yiyun Shou <yiyun.shou@anu.edu.au>

Diff between cdfquantreg versions 1.2.4 dated 2021-06-13 and 1.2.5 dated 2021-07-04

 DESCRIPTION |    8 ++++----
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 4 files changed, 13 insertions(+), 8 deletions(-)

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

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

2019-04-02 0.1-3
2018-04-13 0.1-1
2018-04-09 0.1-0

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Package emdi (with last version 2.0.3) was removed from CRAN

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

2021-05-16 2.0.3
2021-02-03 2.0.2
2020-07-10 2.0.1
2020-07-07 2.0.0
2020-03-18 1.1.7
2019-10-26 1.1.6
2019-04-08 1.1.5
2018-10-10 1.1.4
2018-07-24 1.1.3
2018-04-04 1.1.2
2017-07-08 1.1.1
2017-05-18 1.1.0
2016-11-08 1.0.0

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Package weathercan (with last version 0.6.1) was removed from CRAN

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

2021-06-05 0.6.1
2021-05-14 0.6.0
2021-01-15 0.5.0
2020-09-02 0.4.0

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Package shinybatch (with last version 0.3) was removed from CRAN

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

2021-06-30 0.3

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Package INLAMSM (with last version 0.2-3) was removed from CRAN

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

2021-06-04 0.2-3
2021-01-31 0.2-2
2019-10-13 0.1

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Package individual (with last version 0.1.1) was removed from CRAN

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

2021-06-15 0.1.1

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Package matrixdist (with last version 1.1.2) was removed from CRAN

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

2021-06-18 1.1.2
2021-06-17 1.1.0
2021-02-26 1.0.2
2021-02-15 1.0.1
2021-01-08 1.0

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Package Rage (with last version 1.0.0) was removed from CRAN

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

2021-05-04 1.0.0

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Package Rrelperm (with last version 0.1.0) was removed from CRAN

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

2020-06-25 0.1.0

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Package h3jsr (with last version 1.2.2) was removed from CRAN

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

2021-06-17 1.2.2

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Package GSODR updated to version 3.1.2 with previous version 3.1.1 dated 2021-06-25

Title: Global Surface Summary of the Day ('GSOD') Weather Data Client
Description: Provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day ('GSOD') weather data from the from the USA National Centers for Environmental Information ('NCEI'). Units are converted from from United States Customary System ('USCS') units to International System of Units ('SI'). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure ('es'), actual vapour pressure ('ea') and relative humidity ('RH') are calculated from the original data using the improved August-Roche-Magnus approximation (Alduchov & Eskridge 1996) and included in the final data set. The resulting metadata include station identification information, country, state, latitude, longitude, elevation, weather observations and associated flags. For information on the 'GSOD' data from 'NCEI', please see the 'GSOD' 'readme.txt' file available from, <https://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.
Author: Adam H. Sparks [aut, cre] (<https://orcid.org/0000-0002-0061-8359>), Tomislav Hengl [aut] (<https://orcid.org/0000-0002-9921-5129>), Andrew Nelson [aut] (<https://orcid.org/0000-0002-7249-3778>), Hugh Parsonage [cph, ctb] (<https://orcid.org/0000-0003-4055-0835>), Taras Kaduk [ctb] (Suggestion for handling bulk station downloads more efficiently), Gwenael Giboire [ctb] (Several bug reports in early versions and testing feedback), Łukasz Pawlik [ctb] (Reported bug in windspeed conversion calculation), Ross Darnell [ctb] (Reported bug in 'Windows OS' versions causing 'GSOD' data untarring to fail, <https://orcid.org/0000-0002-7973-6322>), Tyler Widdison [ctb] (Reported bug where `nearest_stations()` did not return stations in order of nearest to farthest)
Maintainer: Adam H. Sparks <adamhsparks@gmail.com>

Diff between GSODR versions 3.1.1 dated 2021-06-25 and 3.1.2 dated 2021-07-04

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 tests/testthat/test-process_csv.R    |  130 +++++++++++-----
 vignettes/GSODR.Rmd                  |  280 +++++++++++++++++++----------------
 14 files changed, 669 insertions(+), 459 deletions(-)

More information about GSODR at CRAN
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Package chk updated to version 0.6.0 with previous version 0.5.1 dated 2020-07-24

Title: Check User-Supplied Function Arguments
Description: For developers to check user-supplied function arguments. It is designed to be simple, fast and customizable. Error messages follow the tidyverse style guide.
Author: Joe Thorley [aut, cre] (<https://orcid.org/0000-0002-7683-4592>), Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), Ayla Pearson [ctb] (<https://orcid.org/0000-0001-7388-1222>), Nadine Hussein [ctb] (<https://orcid.org/0000-0003-4470-8361>), Poisson Consulting [cph, fnd]
Maintainer: Joe Thorley <joe@poissonconsulting.ca>

Diff between chk versions 0.5.1 dated 2020-07-24 and 0.6.0 dated 2021-07-04

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 211 files changed, 829 insertions(+), 1072 deletions(-)

More information about chk at CRAN
Permanent link


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