Mon, 01 Feb 2021

Package RcppThread updated to version 1.0.0 with previous version 0.5.4 dated 2019-10-19

Title: R-Friendly Threading in C++
Description: Provides a C++11-style thread class and thread pool that can safely be interrupted from R. See Nagler (2021) <doi:10.18637/jss.v097.c01>.
Author: Thomas Nagler [aut, cre]
Maintainer: Thomas Nagler <mail@tnagler.com>

Diff between RcppThread versions 0.5.4 dated 2019-10-19 and 1.0.0 dated 2021-02-01

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Package Mqrcm updated to version 1.2 with previous version 1.1 dated 2020-02-28

Title: M-Quantile Regression Coefficients Modeling
Description: Parametric modeling of M-quantile regression coefficient functions.
Author: Paolo Frumento <paolo.frumento@unipi.it>
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

Diff between Mqrcm versions 1.1 dated 2020-02-28 and 1.2 dated 2021-02-01

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Package crplyr updated to version 0.3.8 with previous version 0.3.7 dated 2021-01-12

Title: A 'dplyr' Interface for Crunch
Description: In order to facilitate analysis of datasets hosted on the Crunch data platform <https://crunch.io/>, the 'crplyr' package implements 'dplyr' methods on top of the Crunch backend. The usual methods 'select', 'filter', 'group_by', 'summarize', and 'collect' are implemented in such a way as to perform as much computation on the server and pull as little data locally as possible.
Author: Greg Freedman Ellis [aut, cre], Jonathan Keane [aut], Neal Richardson [aut], Mike Malecki [aut], Gordon Shotwell [aut]
Maintainer: Greg Freedman Ellis <greg@crunch.io>

Diff between crplyr versions 0.3.7 dated 2021-01-12 and 0.3.8 dated 2021-02-01

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Package tarchetypes updated to version 0.0.4 with previous version 0.0.2 dated 2021-02-01

Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

Diff between tarchetypes versions 0.0.2 dated 2021-02-01 and 0.0.4 dated 2021-02-01

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Package SUMMER updated to version 1.1.0 with previous version 1.0.0 dated 2020-07-09

Title: Spatio-Temporal Under-Five Mortality Methods for Estimation
Description: Provides methods for spatial and spatio-temporal smoothing of demographic and health indicators using survey data, with particular focus on estimating and projecting under-five mortality rates, described in Mercer et al. (2015) <doi:10.1214/15-AOAS872>, Li et al. (2019) <doi:10.1371/journal.pone.0210645> and Li et al. (2020) <arXiv:2007.05117>.
Author: Zehang R Li [cre, aut], Bryan D Martin [aut], Yuan Hsiao [aut], Jessica Godwin [aut], Jon Wakefield [aut], Samuel J Clark [aut], Geir-Arne Fuglstad [aut], Andrea Riebler [aut]
Maintainer: Zehang R Li <lizehang@gmail.com>

Diff between SUMMER versions 1.0.0 dated 2020-07-09 and 1.1.0 dated 2021-02-01

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Package NlinTS updated to version 1.4.5 with previous version 1.4.4 dated 2020-10-26

Title: Models for Non Linear Causality Detection in Time Series
Description: Models for non-linear time series analysis and causality detection. The main functionalities of this package consist of an implementation of the classical causality test (C.W.J.Granger 1980) <doi:10.1016/0165-1889(80)90069-X>, and a non-linear version of it based on feed-forward neural networks. This package contains also an implementation of the Transfer Entropy <doi:10.1103/PhysRevLett.85.461>, and the continuous Transfer Entropy using an approximation based on the k-nearest neighbors <doi:10.1103/PhysRevE.69.066138>. There are also some other useful tools, like the VARNN (Vector Auto-Regressive Neural Network) prediction model, the Augmented test of stationarity, and the discrete and continuous entropy and mutual information.
Author: Youssef Hmamouche [aut, cre]
Maintainer: Youssef Hmamouche <hmamoucheyussef@gmail.com>

Diff between NlinTS versions 1.4.4 dated 2020-10-26 and 1.4.5 dated 2021-02-01

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Package modello updated to version 0.1.1 with previous version 0.1 dated 2021-02-01

Title: Homemade Deep Learning Library
Description: Allows to build and train different flavors of Neural Networks. In particular, it can be used to build fairly complex computational graphs, which ca be automatically differentiated and optimized with gradient descent methods.
Author: Filippo Monari [aut, cre]
Maintainer: Filippo Monari <ingfimo@gmail.com>

Diff between modello versions 0.1 dated 2021-02-01 and 0.1.1 dated 2021-02-01

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Package LDlinkR updated to version 1.1.1 with previous version 1.0.2 dated 2020-03-02

Title: Calculating Linkage Disequilibrium (LD) in Human Population Groups of Interest
Description: Provides access to the 'LDlink' API (<https://ldlink.nci.nih.gov/?tab=apiaccess>) using the R console. This programmatic access facilitates researchers who are interested in performing batch queries in 1000 Genomes Project (2015) <doi:10.1038/nature15393> data using 'LDlink'. 'LDlink' is an interactive and powerful suite of web-based tools for querying germline variants in human population groups of interest. For more details, please see Machiela et al. (2015) <doi:10.1093/bioinformatics/btv402>.
Author: Timothy A. Myers [aut, cre], Stephen J. Chanock [aut], Mitchell J. Machiela [aut]
Maintainer: Timothy A. Myers <myersta@mail.nih.gov>

Diff between LDlinkR versions 1.0.2 dated 2020-03-02 and 1.1.1 dated 2021-02-01

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Package enrichR updated to version 3.0 with previous version 2.1 dated 2019-08-29

Title: Provides an R Interface to 'Enrichr'
Description: Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based tool for analysing gene sets and returns any enrichment of common annotated biological features. Quoting from their website 'Enrichment analysis is a computational method for inferring knowledge about an input gene set by comparing it to annotated gene sets representing prior biological knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.
Author: Wajid Jawaid [aut, cre]
Maintainer: Wajid Jawaid <wj241@alumni.cam.ac.uk>

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Package agriwater updated to version 1.0.1 with previous version 1.0.0 dated 2019-01-30

Title: Evapotranspiration and Energy Fluxes Spatial Analysis
Description: Spatial modeling of energy balance and actual evapotranspiration using satellite images and meteorological data. Options of satellite are: Landsat-8 (with and without thermal bands), Sentinel-2 and MODIS. Respectively spatial resolutions are 30, 100, 10 and 250 meters. User can use data from a single meteorological station or a grid of meteorological stations (using any spatial interpolation method). Silva, Teixeira, and Manzione (2019) <doi:10.1016/j.envsoft.2019.104497>.
Author: Cesar de Oliveira Ferreira Silva [cre] (<https://orcid.org/0000-0002-5152-6497>), Antonio Heriberto de Castro Teixeira [aut], Rodrigo Lilla Manzione [ctb] (<https://orcid.org/0000-0002-0754-2641>)
Maintainer: Cesar de Oliveira Ferreira Silva <cesaroliveira.f.silva@gmail.com>

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Package ubms updated to version 1.0.2 with previous version 1.0.1 dated 2021-01-19

Title: Bayesian Models for Data from Unmarked Animals using 'Stan'
Description: Fit Bayesian hierarchical models of animal abundance and occurrence via the 'rstan' package, the R interface to the 'Stan' C++ library. Supported models include single-season occupancy, dynamic occupancy, and N-mixture abundance models. Covariates on model parameters are specified using a formula-based interface similar to package 'unmarked', while also allowing for estimation of random slope and intercept terms. References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Fiske and Chandler (2011) <doi:10.18637/jss.v043.i10>.
Author: Ken Kellner [cre, aut]
Maintainer: Ken Kellner <contact@kenkellner.com>

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New package ufs with initial version 0.4.3
Package: ufs
Type: Package
Title: Quantitative Analysis Made Accessible
Version: 0.4.3
Authors@R: c( person(given = "Gjalt-Jorn", family = "Peters", role = c("aut", "cre"), email = "gjalt-jorn@behaviorchange.eu", comment = c(ORCID = "0000-0002-0336-9589")), person(given = "Stefan", family = "Gruijters", role = c("ctb"), email = "mail@stefangruijters.nl", comment = c(ORCID = "0000-0003-0141-0071")) )
Maintainer: Gjalt-Jorn Peters <gjalt-jorn@behaviorchange.eu>
License: GPL (>= 3)
Description: This is a new version of the 'userfriendlyscience' package, which has grown a bit unwieldy. Therefore, distinct functionalities are being 'consciously uncoupled' into different packages. This package contains the general-purpose tools and utilities (see the 'behaviorchange' package, the 'rosetta' package, and the soon-to-be-released 'scd' package for other functionality), and is the most direct 'successor' of the original 'userfriendlyscience' package. For example, this package contains a number of basic functions to create higher level plots, such as diamond plots, to easily plot sampling distributions, to generate confidence intervals, to plan study sample sizes for confidence intervals, and to do some basic operations such as (dis)attenuate effect size estimates.
URL: https://r-packages.gitlab.io/ufs
BugReports: https://gitlab.com/r-packages/ufs/-/issues
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.0.0)
Suggests: bootES (>= 1.2), car (>= 3.0), careless (>= 1.1), GGally (>= 1.4.0), jmvcore (>= 1.2), lavaan (>= 0.6), MBESS (>= 4.5.1), psych (>= 1.8), rio (>= 0.5), remotes (>= 0.2), rmarkdown (>= 2.5), rstudioapi (>= 0.11), viridis (>= 0.5.1)
Imports: digest (>= 0.6.19), diptest (>= 0.75.7), dplyr (>= 0.7.6), ggplot2 (>= 2.2.1), ggrepel (>= 0.8), ggridges (>= 0.5.0), grDevices (>= 3.0.0), gridExtra (>= 2.3), gtable (>= 0.2.0), htmltools (>= 0.4.0), kableExtra (>= 1.1.0), knitr (>= 1.22), pander (>= 0.6.3), plyr (>= 1.8.4), rmdpartials (>= 0.5.8), scales (>= 1.0.0), SuppDists (>= 1.1.9)
NeedsCompilation: no
Packaged: 2021-01-30 11:21:27 UTC; micro
Author: Gjalt-Jorn Peters [aut, cre] (<https://orcid.org/0000-0002-0336-9589>), Stefan Gruijters [ctb] (<https://orcid.org/0000-0003-0141-0071>)
Repository: CRAN
Date/Publication: 2021-02-02 00:10:02 UTC

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Package multiApply updated to version 2.1.3 with previous version 2.1.2 dated 2021-01-21

Title: Apply Functions to Multiple Multidimensional Arrays or Vectors
Description: The base apply function and its variants, as well as the related functions in the 'plyr' package, typically apply user-defined functions to a single argument (or a list of vectorized arguments in the case of mapply). The 'multiApply' package extends this paradigm with its only function, Apply, which efficiently applies functions taking one or a list of multiple unidimensional or multidimensional arrays (or combinations thereof) as input. The input arrays can have different numbers of dimensions as well as different dimension lengths, and the applied function can return one or a list of unidimensional or multidimensional arrays as output. This saves development time by preventing the R user from writing often error-prone and memory-inefficient loops dealing with multiple complex arrays. Also, a remarkable feature of Apply is the transparent use of multi-core through its parameter 'ncores'. In contrast to the base apply function, this package suggests the use of 'target dimensions' as opposite to the 'margins' for specifying the dimensions relevant to the function to be applied.
Author: BSC-CNS [aut, cph], Nicolau Manubens [aut], Alasdair Hunter [aut], Nuria Perez [cre]
Maintainer: Nuria Perez <nuria.perez@bsc.es>

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Package diseq updated to version 0.1.3 with previous version 0.1.2 dated 2021-01-29

Title: Estimation Methods for Markets in Equilibrium and Disequilibrium
Description: Provides estimation methods for markets in equilibrium and disequilibrium. Specifically, it supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. It also provides post-estimation analysis tools, such as aggregation and marginal effects calculations. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) <doi:10.2307/1914215>. They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) <doi:10.2139/ssrn.3525622>. The equilibrium estimation constitutes a special case of a system of simultaneous equations. The disequilibrium models, instead, replace the market clearing condition with a short side rule and allow for different specifications of price dynamics.
Author: Pantelis Karapanagiotis [aut, cre] (<https://orcid.org/0000-0001-9871-1908>)
Maintainer: Pantelis Karapanagiotis <pikappa.devel@gmail.com>

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Package DiceOptim updated to version 2.1.1 with previous version 2.1.0 dated 2021-01-27

Title: Kriging-Based Optimization for Computer Experiments
Description: Efficient Global Optimization (EGO) algorithm as described in "Roustant et al. (2012)" <doi:10.18637/jss.v051.i01> and adaptations for problems with noise ("Picheny and Ginsbourger, 2012") <doi:10.1016/j.csda.2013.03.018>, parallel infill, and problems with constraints.
Author: Victor Picheny [aut, cre], David Ginsbourger Green [aut], Olivier Roustant [aut], Mickael Binois [ctb], Sebastien Marmin [ctb], Tobias Wagner [ctb]
Maintainer: Victor Picheny <victor.picheny@toulouse.inra.fr>

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Package ctqr updated to version 2.0 with previous version 1.1 dated 2020-03-15

Title: Censored and Truncated Quantile Regression
Description: Estimation of quantile regression models for survival data.
Author: Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

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Package targets updated to version 0.1.0 with previous version 0.0.2 dated 2021-01-21

Title: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
Description: As a pipeline toolkit for Statistics and data science in R, the 'targets' package brings together function-oriented programming and 'Make'-like declarative workflows. It analyzes the dependency relationships among the tasks of a workflow, skips steps that are already up to date, runs the necessary computation with optional parallel workers, abstracts files as R objects, and provides tangible evidence that the results match the underlying code and data. The methodology in this package borrows from GNU 'Make' (2015, ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Matthew T. Warkentin [ctb], Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>

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More information about targets at CRAN
Permanent link

Package systemfonts updated to version 1.0.0 with previous version 0.3.2 dated 2020-09-29

Title: System Native Font Finding
Description: Provides system native access to the font catalogue. As font handling varies between systems it is difficult to correctly locate installed fonts across different operating systems. The 'systemfonts' package provides bindings to the native libraries on Windows, macOS and Linux for finding font files that can then be used further by e.g. graphic devices. The main use is intended to be from compiled code but 'systemfonts' also provides access from R.
Author: Thomas Lin Pedersen [aut, cre] (<https://orcid.org/0000-0002-5147-4711>), Jeroen Ooms [aut] (<https://orcid.org/0000-0002-4035-0289>), Devon Govett [aut] (Author of font-manager), RStudio [cph]
Maintainer: Thomas Lin Pedersen <thomas.pedersen@rstudio.com>

Diff between systemfonts versions 0.3.2 dated 2020-09-29 and 1.0.0 dated 2021-02-01

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More information about systemfonts at CRAN
Permanent link

Package spatstat.core updated to version 1.65-5 with previous version 1.65-0 dated 2021-01-22

Title: Core Functionality of the 'spatstat' Package
Description: This is a subset of the original 'spatstat' package, containing all of the user-level code from 'spatstat', except for the code for linear networks.
Author: Adrian Baddeley [aut, cre], Rolf Turner [aut], Ege Rubak [aut], Kasper Klitgaard Berthelsen [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb], Julian Gilbey [ctb], Yongtao Guan [ctb], Ute Hahn [ctb], Kassel Hingee [ctb], Abdollah Jalilian [ctb], Marie-Colette van Lieshout [ctb], Greg McSwiggan [ctb], Tuomas Rajala [ctb], Suman Rakshit [ctb], Dominic Schuhmacher [ctb], Rasmus Plenge Waagepetersen [ctb], Hangsheng Wang [ctb]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

Diff between spatstat.core versions 1.65-0 dated 2021-01-22 and 1.65-5 dated 2021-02-01

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More information about spatstat.core at CRAN
Permanent link

Package Rd2md updated to version 0.0.5 with previous version 0.0.2 dated 2017-05-22

Title: Markdown Reference Manuals
Description: The native R functionalities only allow PDF exports of reference manuals. This shall be extended by converting the package documentation files into markdown files and combining them into a markdown version of the package reference manual.
Author: Julian Busch [aut, cre]
Maintainer: Julian Busch <jb@quants.ch>

Diff between Rd2md versions 0.0.2 dated 2017-05-22 and 0.0.5 dated 2021-02-01

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More information about Rd2md at CRAN
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Package officedown updated to version 0.2.1 with previous version 0.2.0 dated 2020-06-29

Title: Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint'
Description: Allows production of 'Microsoft' corporate documents from 'R Markdown' by reusing formatting defined in 'Microsoft Word' documents. You can reuse table styles, list styles but also add column sections, landscape oriented pages. Table and image captions as well as cross-references are transformed into 'Microsoft Word' fields, allowing documents edition and merging without issue with references; the syntax conforms to the 'bookdown' cross-reference definition. Objects generated by the 'officer' package are also supported in the 'knitr' chunks. 'Microsoft PowerPoint' presentations also benefit from this as well as the ability to produce editable vector graphics in 'PowerPoint' and also to define placeholder where content is to be added.
Author: David Gohel [aut, cre, cph], Institut für Qualitätssicherung und Transparenz im Gesundheitswesen [fnd], Noam Ross [aut] (rmarkdown implementation for rvg), ArData [cph]
Maintainer: David Gohel <david.gohel@ardata.fr>

Diff between officedown versions 0.2.0 dated 2020-06-29 and 0.2.1 dated 2021-02-01

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Permanent link

Package kim updated to version 0.2.71 with previous version 0.2.35 dated 2021-01-06

Title: Functions for Behavioral Science Researchers
Description: Miscellaneous functions to simplify and expedite analyses of experimental data. Examples include a function that plots sample means of groups in a factorial experimental design, a function that conducts robust regressions with bootstrapped samples, and a function that conducts robust two-way analysis of variance.
Author: Jin Kim [aut, cre] (<https://orcid.org/0000-0002-5013-3958>)
Maintainer: Jin Kim <jin.m.kim@yale.edu>

Diff between kim versions 0.2.35 dated 2021-01-06 and 0.2.71 dated 2021-02-01

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Package flextable updated to version 0.6.3 with previous version 0.6.2 dated 2021-01-25

Title: Functions for Tabular Reporting
Description: Create pretty tables for 'HTML', 'PDF', 'Microsoft Word' and 'Microsoft PowerPoint' documents from 'R Markdown'. Functions are provided to let users create tables, modify and format their content. It also extends package 'officer' that does not contain any feature for customized tabular reporting.
Author: David Gohel [aut, cre], Quentin Fazilleau [ctb], Maxim Nazarov [ctb] (rmarkdown for docx output), Titouan Robert [ctb], Michael Barrowman [ctb] (inline footnotes), Atsushi Yasumoto [ctb] (support for bookdown cross reference), Paul Julian [ctb] (support for gam objects)
Maintainer: David Gohel <david.gohel@ardata.fr>

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Package rumidas updated to version 0.1.1 with previous version 0.1.0 dated 2020-09-22

Title: Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS and MEM-MIDAS
Description: Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007) <doi:10.1080/07474930600972467>) components to a variety of GARCH and MEM (Engle (2002) <doi:10.1002/jae.683>) models, with the aim of predicting the volatility with additional low-frequency (that is, MIDAS) terms. The estimation takes place through simple functions, which provide in-sample and (if present) and out-of-sample evaluations. 'rumidas' also offers a summary tool, which synthesizes the main information of the estimated model. There is also the possibility of generating one-step-ahead and multi-step-ahead forecasts.
Author: Vincenzo Candila [aut, cre]
Maintainer: Vincenzo Candila <vincenzo.candila@uniroma1.it>

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New package RCT with initial version 1.1
Package: RCT
Title: Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments
Version: 1.1
Authors@R: person("Isidoro", "Garcia-Urquieta", email = "isidoro.gu@gmail.com", role =c("aut", "cre"))
Description: Assists in the whole process of designing and evaluating Randomized Control Trials. Robust treatment assignment by strata/blocks, that handles misfits; Power calculations of the minimum detectable treatment effect or minimum populations; Balance tables of T-test of covariates; Balance Regression: (treatment ~ all x variables) with F-test of null model; Impact_evaluation: Impact evaluation regressions. This function gives you the option to include control_vars, fixed effect variables, cluster variables (for robust SE), multiple endogenous variables and multiple heterogeneous variables (to test treatment effect heterogeneity) summary_statistics: Function that creates a summary statistics table with statistics rank observations in n groups: Creates a factor variable with n groups. Each group has a min and max label attach to each category. Athey, Susan, and Guido W. Imbens (2017) <arXiv:1607.00698>.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: dplyr, purrr, glue, rlang, tidyr, stringr, MASS, pracma, lfe, broom, forcats, magrittr, ggplot2, utils, tidyselect (>= 1.0.0)
Suggests: knitr, rmarkdown, testthat, qpdf
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-31 22:21:30 UTC; isidorogarcia
Author: Isidoro Garcia-Urquieta [aut, cre]
Maintainer: Isidoro Garcia-Urquieta <isidoro.gu@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-01 16:20:06 UTC

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Package adept updated to version 1.2 with previous version 1.1.2 dated 2019-06-18

Title: Adaptive Empirical Pattern Transformation
Description: Designed for optimal use in performing fast, accurate walking strides segmentation from high-density data collected from a wearable accelerometer worn during continuous walking activity.
Author: Marta Karas [aut, cre] (<https://orcid.org/0000-0001-5889-3970>), Jacek Urbanek [aut] (<https://orcid.org/0000-0002-1890-8899>), Ciprian Crainiceanu [aut], John Muschelli [ctb] (<https://orcid.org/0000-0001-6469-1750>), Adi Gherman [ctb]
Maintainer: Marta Karas <marta.karass@gmail.com>

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Package zipangu updated to version 0.2.2 with previous version 0.2.1 dated 2020-07-07

Title: Japanese Utility Functions and Data
Description: Some data treated by the Japanese R user require unique operations and processing. These are caused by address, Kanji, and traditional year representations. 'zipangu' transforms specific to Japan into something more general one.
Author: Shinya Uryu [aut, cre] (<https://orcid.org/0000-0002-0493-6186>), Hiroaki Yutani [ctb] (<https://orcid.org/0000-0002-3385-7233>), Kazuhiro Maeda [ctb], Mao Kobayashi [ctb]
Maintainer: Shinya Uryu <suika1127@gmail.com>

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Package STV updated to version 1.0.2 with previous version 1.0.1 dated 2019-03-07

Title: Single Transferable Vote Counting
Description: Implementations of the Single Transferable Vote counting system. By default, it uses the Cambridge method for surplus allocation and Droop method for quota calculation. Fractional surplus allocation and the Hare quota are available as options.
Author: John Emerson [cre, aut], Saksham Chandra [aut], Lilla Orr [aut], Efim Abrikosov [ctb], Shadie Khubba [ctb], William Meyerson [ctb], Shylee Ezroni [ctb], Junchao Ma [ctb]
Maintainer: John Emerson <john.emerson@yale.edu>

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Package sapevom updated to version 0.2.0 with previous version 0.1.0 dated 2020-12-07

Title: Group Ordinal Method for Multiple Criteria Decision-Making
Description: Implementation of SAPEVO-M, a Group Ordinal Method for Multiple Criteria Decision-Making (MCDM). SAPEVO-M is an acronym for Simple Aggregation of Preferences Expressed by Ordinal Vectors Group Decision Making. This method provides alternatives ranking given decision makers' preferences: criteria preferences and alternatives preferences for each criterion.This method is described in Gomes et al. (2020) <doi: 10.1590/0101-7438.2020.040.00226524 >.
Author: Raquel Coutinho [aut, cre], Marcos dos Santos [aut]
Maintainer: Raquel Coutinho <rdouradocoutinho@gmail.com>

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Package pch updated to version 2.0 with previous version 1.4 dated 2020-02-27

Title: Piecewise Constant Hazard Models for Censored and Truncated Data
Description: Piecewise constant hazard models for survival data. The package allows for right-censored, left-truncated, and interval-censored data.
Author: Paolo Frumento
Maintainer: Paolo Frumento <paolo.frumento@unipi.it>

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Package NMAoutlier updated to version 0.1.17 with previous version 0.1.13 dated 2019-02-01

Title: Detecting Outliers in Network Meta-Analysis
Description: A set of functions providing several outlier (i.e., studies with extreme findings) and influential detection measures and methodologies in network meta-analysis: - Simple outlier and influential deletion measures provided: (a) Raw, (b) Standardized, (c) Studentized residuals; (d) Mahalanobis distance and (c) leverage. - Outlier and influential detection measures by considering study deletion (Shift the mean): (a) Raw (b) Standardized, (c) Studentized deleted residuals; (d) Cook distance; (e) Ratio of variance-covariance matrix; (f) weight leave one out; (g) leverage leave one out; (h) heterogeneity leave one out; (i) R heterogeneity; (k) R Q total; (l) R Q heterogeneity (m); R Q inconsistency and (n) statistic that indicate the effect that deleting each study has on the treatment estimates. - Plots for outlier and influential detection simply and deletion measures (all the above measures) and Q-Q plot for network meta-analysis. - Forward Search algorithm in network meta-analysis. - Forward plots for the monitoring statistics in each step of Forward search algorithm: (a) P-scores; (b) z-values for difference of direct and indirect evidence with back-calculation method; (c) Standardized residuals; (d) heterogeneity variance estimator; (e) cook distance; (f) ratio of variances; (g) Q statistics. - Forward plots for summary estimates and their confidence intervals in each step of forward search algorithm.
Author: Maria Petropoulou [aut, cre] (<https://orcid.org/0000-0002-7147-3644>), Guido Schwarzer [aut] (<https://orcid.org/0000-0001-6214-9087>), Agapios Panos [aut], Dimitris Mavridis [aut] (<https://orcid.org/0000-0003-1041-4592>)
Maintainer: Maria Petropoulou <petropoulou@imbi.uni-freiburg.de>

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Package grainchanger updated to version 0.3.2 with previous version 0.3.1 dated 2021-01-29

Title: Moving-Window and Direct Data Aggregation
Description: Data aggregation via moving window or direct methods. Aggregate a fine-resolution raster to a grid. The moving window method smooths the surface using a specified function within a moving window of a specified size and shape prior to aggregation. The direct method simply aggregates to the grid using the specified function.
Author: Laura Graham [aut, cre] (<https://orcid.org/0000-0002-3611-7281>), Felix Eigenbrod [ctb] (Input on initial conceptual development), Marco Sciaini [ctb] (Input on package development and structure)
Maintainer: Laura Graham <LauraJaneEGraham@gmail.com>

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Package BET updated to version 0.3.3 with previous version 0.3.2 dated 2021-01-28

Title: Binary Expansion Testing
Description: Nonparametric detection of nonuniformity and dependence with Binary Expansion Testing (BET). See Kai Zhang (2019) BET on Independence, Journal of the American Statistical Association, 114:528, 1620-1637, <DOI:10.1080/01621459.2018.1537921> and Zhigen Zhao, Michael Baiocchi, Kai Zhang. SorBET: A Fast and Powerful Algorithm to Test Dependence of Variables.
Author: Wan Zhang [aut, cre], Zhigen Zhao [aut], Michael Baiocchi [aut], Kai Zhang [aut]
Maintainer: Wan Zhang <wanz63@live.unc.edu>

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More information about BET at CRAN
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Package airGRteaching updated to version 0.2.10.112 with previous version 0.2.9.25 dated 2020-10-19

Title: Teaching Hydrological Modelling with the GR Rainfall-Runoff Models ('Shiny' Interface Included)
Description: Add-on package to the 'airGR' package that simplifies its use and is aimed at being used for teaching hydrology. The package provides 1) three functions that allow to complete very simply a hydrological modelling exercise 2) plotting functions to help students to explore observed data and to interpret the results of calibration and simulation of the GR ('Génie rural') models 3) a 'Shiny' graphical interface that allows for displaying the impact of model parameters on hydrographs and models internal variables.
Author: Olivier Delaigue [aut, cre] (<https://orcid.org/0000-0002-7668-8468>), Laurent Coron [aut] (<https://orcid.org/0000-0002-1503-6204>), Pierre Brigode [aut] (<https://orcid.org/0000-0001-8257-0741>), Guillaume Thirel [ctb] (<https://orcid.org/0000-0002-1444-1830>)
Maintainer: Olivier Delaigue <airGR@inrae.fr>

Diff between airGRteaching versions 0.2.9.25 dated 2020-10-19 and 0.2.10.112 dated 2021-02-01

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Package VAM updated to version 0.5.0 with previous version 0.4.0 dated 2021-01-14

Title: Variance-Adjusted Mahalanobis
Description: Contains logic for cell-specific gene set scoring of single cell RNA sequencing data.
Author: H. Robert Frost
Maintainer: H. Robert Frost <rob.frost@dartmouth.edu>

Diff between VAM versions 0.4.0 dated 2021-01-14 and 0.5.0 dated 2021-02-01

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Package scam updated to version 1.2-10 with previous version 1.2-9 dated 2020-12-09

Title: Shape Constrained Additive Models
Description: Routines for generalized additive modelling under shape constraints on the component functions of the linear predictor (Pya and Wood, 2015) <doi:10.1007/s11222-013-9448-7>. Models can contain multiple shape constrained (univariate and/or bivariate) and unconstrained terms. The routines of gam() in package 'mgcv' are used for setting up the model matrix, printing and plotting the results. Penalized likelihood maximization based on Newton-Raphson method is used to fit a model with multiple smoothing parameter selection by GCV or UBRE/AIC.
Author: Natalya Pya <nat.pya@gmail.com>
Maintainer: Natalya Pya <nat.pya@gmail.com>

Diff between scam versions 1.2-9 dated 2020-12-09 and 1.2-10 dated 2021-02-01

 ChangeLog         |    4 ++++
 DESCRIPTION       |    8 ++++----
 MD5               |    8 ++++----
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 5 files changed, 13 insertions(+), 8 deletions(-)

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Package rasciidoc updated to version 3.0.2 with previous version 3.0.1 dated 2021-01-25

Title: Create Reports Using R and 'asciidoc'
Description: Inspired by Karl Broman`s reader on using 'knitr' with 'asciidoc' (<http://kbroman.org/knitr_knutshell/pages/asciidoc.html>), this is merely a wrapper to 'knitr' and 'asciidoc'.
Author: Andreas Dominik Cullmann [aut, cre]
Maintainer: Andreas Dominik Cullmann <fvafrcu@mailbox.org>

Diff between rasciidoc versions 3.0.1 dated 2021-01-25 and 3.0.2 dated 2021-02-01

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New package str2str with initial version 0.1.1
Package: str2str
Type: Package
Title: Convert R Objects from One Structure to Another
Version: 0.1.1
Authors@R: person("David", "Disabato", email = "ddisab01@gmail.com", role = c("aut","cre"))
Description: Offers a suite of functions for converting to and from (atomic) vectors, matrices, data.frames, and (3D+) arrays as well as lists of these objects. It is an alternative to the base R as.<str>.<method>() functions (e.g., as.data.frame.array()) that provides more useful and/or flexible restructuring of R objects. To do so, it only works with common structuring of R objects (e.g., data.frames with only atomic vector columns).
Depends: R (>= 4.0.0), datasets, stats, utils,
Imports: abind, checkmate, plyr, reshape
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-28 02:23:30 UTC; ddisa
Author: David Disabato [aut, cre]
Maintainer: David Disabato <ddisab01@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-01 09:10:02 UTC

More information about str2str at CRAN
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Package SPUTNIK updated to version 1.3.1 with previous version 1.3 dated 2020-03-23

Title: SPatially aUTomatic deNoising for Ims toolKit
Description: A set of tools for the peak filtering of mass spectrometry imaging data (MSI or IMS) based on spatial distribution of signal. Given a region-of-interest (ROI), representing the spatial region where the informative signal is expected to be localized, a series of filters determine which peak signals are characterized by an implausible spatial distribution. The filters reduce the dataset dimensionality and increase its information vs noise ratio, improving the quality of the unsupervised analysis results, reducing data dimensionality and simplifying the chemical interpretation.
Author: Paolo Inglese [aut, cre], Goncalo Correia [aut, ctb]
Maintainer: Paolo Inglese <p.inglese@outlook.com>

Diff between SPUTNIK versions 1.3 dated 2020-03-23 and 1.3.1 dated 2021-02-01

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 69 files changed, 5488 insertions(+), 5467 deletions(-)

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New package tarchetypes with initial version 0.0.2
Package: tarchetypes
Title: Archetypes for Targets
Description: Function-oriented Make-like declarative workflows for Statistics and data science are supported in the 'targets' R package. As an extension to 'targets', the 'tarchetypes' package provides convenient user-side functions to make 'targets' easier to use. By establishing reusable archetypes for common kinds of targets and pipelines, these functions help express complicated reproducible workflows concisely and compactly. The methods in this package were influenced by the 'drake' R package by Will Landau (2018) <doi:10.21105/joss.00550>.
Version: 0.0.2
License: MIT + file LICENSE
URL: https://docs.ropensci.org/tarchetypes/, https://github.com/ropensci/tarchetypes
BugReports: https://github.com/ropensci/tarchetypes/issues
Authors@R: c( person( given = c("William", "Michael"), family = "Landau", role = c("aut", "cre"), email = "will.landau@gmail.com", comment = c(ORCID = "0000-0003-1878-3253") ), person( given = "Samantha", family = "Oliver", role = "rev", comment = c(ORCID = "0000-0001-5668-1165") ), person( given = "Tristan", family = "Mahr", role = "rev", comment = c(ORCID = "0000-0002-8890-5116") ), person( family = "Eli Lilly and Company", role = "cph" ))
Depends: R (>= 3.5.0)
Imports: digest (>= 0.6.25), fs (>= 1.4.2), rlang (>= 0.4.7), targets (>= 0.0.1), tidyselect (>= 1.1.0), utils, vctrs (>= 0.3.4), withr (>= 2.1.2)
Suggests: knitr (>= 1.28), rmarkdown (>= 2.1), testthat (>= 3.0.0), tibble (>= 3.0.4), xml2 (>= 1.3.2)
Encoding: UTF-8
Language: en-US
Config/testthat/edition: 3
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-27 13:15:01 UTC; c240390
Author: William Michael Landau [aut, cre] (<https://orcid.org/0000-0003-1878-3253>), Samantha Oliver [rev] (<https://orcid.org/0000-0001-5668-1165>), Tristan Mahr [rev] (<https://orcid.org/0000-0002-8890-5116>), Eli Lilly and Company [cph]
Maintainer: William Michael Landau <will.landau@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-01 08:10:03 UTC

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New package PriceIndices with initial version 0.0.1
Package: PriceIndices
Title: Calculating Bilateral and Multilateral Price Indexes
Version: 0.0.1
Authors@R: person(given = "Jacek", family = "Białek", role = c("aut", "cre"), email = "jacek.bialek@uni.lodz.pl", comment = c(ORCID = "0000-0002-0952-5327"))
Description: Preparing a scanner data set for price dynamics calculations (data selecting, data classification, data matching, data filtering). Computing bilateral and multilateral indexes. For details on these methods see: de Haan and Krsinich (2017) <doi:10.1111/roiw.12304> and Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>.
Depends: R (>= 3.5.0)
Imports: lubridate (>= 1.7.4), dplyr (>= 0.8.3), ggplot2 (>= 3.2.0), reshape, reclin, stringr, stats, xgboost, caret
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-01-27 20:31:20 UTC; User
Author: Jacek Białek [aut, cre] (<https://orcid.org/0000-0002-0952-5327>)
Maintainer: Jacek Białek <jacek.bialek@uni.lodz.pl>
Repository: CRAN
Date/Publication: 2021-02-01 09:00:12 UTC

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New package moexer with initial version 0.1.0
Package: moexer
Type: Package
Title: Interact with Moscow Exchange Informational and Statistical Server ('ISS')
Version: 0.1.0
Author: Dmitry Zotikov <dmitry.zotikov@ungrund.org>
Maintainer: Dmitry Zotikov <dmitry.zotikov@ungrund.org>
Description: This is a thin wrapper around the 'MOEX' 'ISS' REST interface, see <https://iss.moex.com>. It allows to quickly fetch price candles for a particular security, obtain its profile information and so on.
License: GPL-3
Language: en-GB
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Depends: R (>= 3.5.0)
Imports: magrittr, glue, purrr, httr, jsonlite, tibble, readr, rlang, stringr, assertthat, cli, dplyr, lubridate
Suggests: testthat, knitr, rmarkdown, ggplot2
URL: https://github.com/x1o/moexer
BugReports: https://github.com/x1o/moexer/issues
NeedsCompilation: no
Packaged: 2021-01-27 17:04:16 UTC; xio
Repository: CRAN
Date/Publication: 2021-02-01 08:30:03 UTC

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New package modello with initial version 0.1
Package: modello
Title: Homemade Deep Learning Library
Version: 0.1
Date: 2021-01-1<c2><a1>27 20:00:00
Authors@R: c(person("Filippo", "Monari", role = c("aut", "cre"), email = "ingfimo@gmail.com"))
Author: Filippo Monari [aut, cre]
Maintainer: Filippo Monari <ingfimo@gmail.com>
Description: Allows to build and train different flavors of Neural Networks. In particular, it can be used to build fairly complex computational graphs, which ca be automatically differentiated and optimized with gradient descent methods.
URL: https://gitlab.com/ingfimo/modello
Depends: R (>= 4.0.0), methods, R6, LaF, foreach, doParallel
Suggests: testthat
Collate: 'modello.R' 'interfaces.R' 'session.R' 'numbers.R' 'numbers_math.R' 'utils.R' 'graphs.R' 'modules.R' 'optim.R' 'dataLoaders.R'
License: GPL-2
OS_type: unix
NeedsCompilation: yes
Packaged: 2021-01-27 19:18:39 UTC; filippo
RoxygenNote: 7.1.0
Repository: CRAN
Date/Publication: 2021-02-01 09:00:03 UTC

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Package hereR updated to version 0.6.1 with previous version 0.6.0 dated 2021-01-04

Title: 'sf'-Based Interface to the 'HERE' REST APIs
Description: Interface to the 'HERE' REST APIs <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest addresses or reverse geocode POIs using the 'Geocoder' API; (2) route directions, travel distance or time matrices and isolines using the 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request real-time traffic flow and incident information from the 'Traffic' API; (4) find request public transport connections and nearby stations from the 'Public Transit' API; (5) request intermodal routes using the 'Intermodal Routing' API; (6) get weather forecasts, reports on current weather conditions, astronomical information and alerts at a specific location from the 'Destination Weather' API. Locations, routes and isolines are returned as 'sf' objects.
Author: Merlin Unterfinger [aut, cre] (<https://orcid.org/0000-0003-2020-2366>), Daniel Possenriede [ctb] (<https://orcid.org/0000-0002-6738-9845>)
Maintainer: Merlin Unterfinger <info@munterfinger.ch>

Diff between hereR versions 0.6.0 dated 2021-01-04 and 0.6.1 dated 2021-02-01

 hereR-0.6.0/hereR/man/unset_proxy.Rd                               |only
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 hereR-0.6.1/hereR/NEWS.md                                          |    9 
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 hereR-0.6.1/hereR/R/autosuggest.R                                  |   45 +-
 hereR-0.6.1/hereR/R/checks.R                                       |    7 
 hereR-0.6.1/hereR/R/connection.R                                   |   62 ++-
 hereR-0.6.1/hereR/R/defunct.R                                      |    4 
 hereR-0.6.1/hereR/R/flow.R                                         |   34 +-
 hereR-0.6.1/hereR/R/geocode.R                                      |   87 ++---
 hereR-0.6.1/hereR/R/incident.R                                     |   40 --
 hereR-0.6.1/hereR/R/intermodal_route.R                             |  131 +++++--
 hereR-0.6.1/hereR/R/isoline.R                                      |   61 ++-
 hereR-0.6.1/hereR/R/reverse_geocode.R                              |   30 +
 hereR-0.6.1/hereR/R/route.R                                        |   55 ++-
 hereR-0.6.1/hereR/R/route_matrix.R                                 |   96 +++--
 hereR-0.6.1/hereR/R/station.R                                      |   40 +-
 hereR-0.6.1/hereR/R/sysdata.rda                                    |binary
 hereR-0.6.1/hereR/R/utils.R                                        |   36 +-
 hereR-0.6.1/hereR/R/weather.R                                      |   53 +--
 hereR-0.6.1/hereR/README.md                                        |   14 
 hereR-0.6.1/hereR/inst/doc/geocoder.html                           |   12 
 hereR-0.6.1/hereR/inst/doc/intermodal.html                         |  133 ++++---
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 hereR-0.6.1/hereR/inst/doc/transit.html                            |  121 ++++---
 hereR-0.6.1/hereR/inst/doc/weather.Rmd                             |    2 
 hereR-0.6.1/hereR/inst/doc/weather.html                            |  170 +++++-----
 hereR-0.6.1/hereR/inst/figure/logo.R                               |   16 
 hereR-0.6.1/hereR/man/hereR-defunct.Rd                             |    8 
 hereR-0.6.1/hereR/man/route.Rd                                     |    2 
 hereR-0.6.1/hereR/man/set_key.Rd                                   |    2 
 hereR-0.6.1/hereR/man/weather.Rd                                   |    2 
 hereR-0.6.1/hereR/tests/testthat/test-autosuggest.R                |    4 
 hereR-0.6.1/hereR/tests/testthat/test-connection.R                 |    8 
 hereR-0.6.1/hereR/tests/testthat/test-flow.R                       |    4 
 hereR-0.6.1/hereR/tests/testthat/test-geocode.R                    |    8 
 hereR-0.6.1/hereR/tests/testthat/test-get_content.R                |    1 
 hereR-0.6.1/hereR/tests/testthat/test-incident.R                   |   10 
 hereR-0.6.1/hereR/tests/testthat/test-intermodal_route.R           |    4 
 hereR-0.6.1/hereR/tests/testthat/test-isoline.R                    |    4 
 hereR-0.6.1/hereR/tests/testthat/test-reverse_geocode.R            |   12 
 hereR-0.6.1/hereR/tests/testthat/test-route.R                      |    4 
 hereR-0.6.1/hereR/tests/testthat/test-route_matrix.R               |    6 
 hereR-0.6.1/hereR/tests/testthat/test-station.R                    |    4 
 hereR-0.6.1/hereR/tests/testthat/test-weather_alerts.R             |    4 
 hereR-0.6.1/hereR/tests/testthat/test-weather_forecast_astronomy.R |    4 
 hereR-0.6.1/hereR/tests/testthat/test-weather_forecast_hourly.R    |    4 
 hereR-0.6.1/hereR/tests/testthat/test-weather_observation.R        |    4 
 hereR-0.6.1/hereR/vignettes/weather.Rmd                            |    2 
 50 files changed, 931 insertions(+), 632 deletions(-)

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New package galvanizer with initial version 0.5.1
Package: galvanizer
Title: Interface to Galvanize 'Highbond' Internal Audit Software
Version: 0.5.1
Authors@R: person(given = "Jonathan", family = "Lin", role = c("aut", "cre"), email = "hello@jonlin.ca", comment = c(ORCID = "0000-0001-8664-6846"))
Description: An R interface to the Galvanize 'Highbond' API <https://docs-apis.highbond.com>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: magrittr, dplyr, httr, jsonlite, lubridate, rlang, tidyjson, tibble, tidyr, tidyselect
Suggests: testthat
NeedsCompilation: no
Packaged: 2021-01-27 15:48:16 UTC; jon
Author: Jonathan Lin [aut, cre] (<https://orcid.org/0000-0001-8664-6846>)
Maintainer: Jonathan Lin <hello@jonlin.ca>
Repository: CRAN
Date/Publication: 2021-02-01 08:40:03 UTC

More information about galvanizer at CRAN
Permanent link

New package fmerPack with initial version 0.0-1
Package: fmerPack
Title: Tools of Heterogeneity Pursuit via Finite Mixture Effects Model
Version: 0.0-1
Date: 2021-01-18
Authors@R: c( person(given = "Yan", family = "Li", email = "yan.4.li@uconn.edu", role = c("aut", "cre")), person(given = "Kun", family = "Chen", role = "aut"))
Maintainer: Yan Li <yan.4.li@uconn.edu>
Description: Heterogeneity pursuit methodologies for regularized finite mixture regression by effects-model formulation proposed by Li et al. (2021) <arXiv:2003.04787>.
Depends: R (>= 3.4.0)
Imports: utils, flexmix, glmnet, MASS, Rcpp (>= 0.12.0), abind
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3.0)
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: yes
Packaged: 2021-01-27 15:11:04 UTC; YLi
Author: Yan Li [aut, cre], Kun Chen [aut]
Repository: CRAN
Date/Publication: 2021-02-01 08:20:02 UTC

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Package errorlocate updated to version 0.9.8 with previous version 0.5.1 dated 2020-11-27

Title: Locate Errors with Validation Rules
Description: Errors in data can be located and removed using validation rules from package 'validate'.
Author: Edwin de Jonge [aut, cre] (<https://orcid.org/0000-0002-6580-4718>), Mark van der Loo [aut]
Maintainer: Edwin de Jonge <edwindjonge@gmail.com>

Diff between errorlocate versions 0.5.1 dated 2020-11-27 and 0.9.8 dated 2021-02-01

 DESCRIPTION                                 |    8 
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 tests/testthat/test-expr-manip.R            |   22 ++
 tests/testthat/test-locate_errors.R         |   39 +++-
 tests/testthat/test-replace-errors.R        |    4 
 tests/testthat/test-soft-rule.R             |    8 
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New package ergmclust with initial version 1.0.0
Package: ergmclust
Type: Package
Title: ERGM-Based Network Clustering
Version: 1.0.0
Date: 2021-01-24
Authors@R: c(person("Amal", "Agarwal", role = c("aut", "cre"), email = "amalag.19@gmail.com"), person("Kevin H.", "Lee", role = "aut"), person("Lingzhou", "Xue", role = c("aut", "ths")), person("Anna Yinqi", "Zhang", role = "com"))
Description: Implements clustering and estimates parameters in Exponential-Family Random Graph Models (ERGMs) for static undirected and directed networks, developed in Vu et. al. (2013) <https://projecteuclid.org/euclid.aoas/1372338477>.
Encoding: UTF-8
License: GPL-2
Imports: Rcpp (>= 1.0.1), MASS, lda, quadprog, igraph, viridis
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 2.10)
URL: https://sites.psu.edu/sldm/netclust/
NeedsCompilation: yes
Packaged: 2021-01-27 17:45:58 UTC; anna_zhang_jmk
Author: Amal Agarwal [aut, cre], Kevin H. Lee [aut], Lingzhou Xue [aut, ths], Anna Yinqi Zhang [com]
Maintainer: Amal Agarwal <amalag.19@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-01 08:50:02 UTC

More information about ergmclust at CRAN
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Package trelliscopejs updated to version 0.2.6 with previous version 0.2.5 dated 2020-05-28

Title: Create Interactive Trelliscope Displays
Description: Trelliscope is a scalable, flexible, interactive approach to visualizing data (Hafen, 2013 <doi:10.1109/LDAV.2013.6675164>). This package provides methods that make it easy to create a Trelliscope display specification for TrelliscopeJS. High-level functions are provided for creating displays from within 'tidyverse' or 'ggplot2' workflows. Low-level functions are also provided for creating new interfaces.
Author: Ryan Hafen [aut, cre] (<https://orcid.org/0000-0002-5516-8367>), Barret Schloerke [aut]
Maintainer: Ryan Hafen <rhafen@gmail.com>

Diff between trelliscopejs versions 0.2.5 dated 2020-05-28 and 0.2.6 dated 2021-02-01

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 vignettes/trelliscopejs.Rmd  |   16 ++++++++--------
 11 files changed, 66 insertions(+), 52 deletions(-)

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New package pixelpuzzle with initial version 1.0.0
Package: pixelpuzzle
Title: Puzzle Game for the R Console
Version: 1.0.0
Authors@R: person(given = "Roland", family = "Krasser", role = c("aut", "cre"), email = "roland.krasser@gmail.com")
Description: Puzzle game that can be played in the R console. Restore the pixel art by shifting rows.
License: GPL-3
Encoding: UTF-8
LazyData: true
URL: https://github.com/rolkra/pixelpuzzle
Imports: beepr, cli, stringr
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-01-27 11:45:58 UTC; rolkra
Author: Roland Krasser [aut, cre]
Maintainer: Roland Krasser <roland.krasser@gmail.com>
Repository: CRAN
Date/Publication: 2021-02-01 08:00:06 UTC

More information about pixelpuzzle at CRAN
Permanent link

Package vroom updated to version 1.4.0 with previous version 1.3.2 dated 2020-09-30

Title: Read and Write Rectangular Text Data Quickly
Description: The goal of 'vroom' is to read and write data (like 'csv', 'tsv' and 'fwf') quickly. When reading it uses a quick initial indexing step, then reads the values lazily , so only the data you actually use needs to be read. The writer formats the data in parallel and writes to disk asynchronously from formatting.
Author: Jim Hester [aut, cre] (<https://orcid.org/0000-0002-2739-7082>), Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>), https://github.com/mandreyel/ [cph] (mio library), R Core Team [ctb] (localtime.c code adapted from R), Jukka Jylänki [cph] (grisu3 implementation), Mikkel Jørgensen [cph] (grisu3 implementation), RStudio [cph, fnd]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between vroom versions 1.3.2 dated 2020-09-30 and 1.4.0 dated 2021-02-01

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 vignettes/benchmarks.Rmd            |    3 
 85 files changed, 1321 insertions(+), 523 deletions(-)

More information about vroom at CRAN
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Package httptest updated to version 4.0.0 with previous version 3.3.0 dated 2020-01-28

Title: A Test Environment for HTTP Requests
Description: Testing and documenting code that communicates with remote servers can be painful. Dealing with authentication, server state, and other complications can make testing seem too costly to bother with. But it doesn't need to be that hard. This package enables one to test all of the logic on the R sides of the API in your package without requiring access to the remote service. Importantly, it provides three contexts that mock the network connection in different ways, as well as testing functions to assert that HTTP requests were---or were not---made. It also allows one to safely record real API responses to use as test fixtures. The ability to save responses and load them offline also enables one to write vignettes and other dynamic documents that can be distributed without access to a live server.
Author: Neal Richardson [aut, cre], Jonathan Keane [ctb], Maëlle Salmon [ctb] (<https://orcid.org/0000-0002-2815-0399>)
Maintainer: Neal Richardson <neal.p.richardson@gmail.com>

Diff between httptest versions 3.3.0 dated 2020-01-28 and 4.0.0 dated 2021-02-01

 httptest-3.3.0/httptest/tests/testthat/helper.R                               |only
 httptest-4.0.0/httptest/DESCRIPTION                                           |   22 
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 httptest-4.0.0/httptest/NAMESPACE                                             |    3 
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 httptest-4.0.0/httptest/R/capture-requests.R                                  |  250 ++---
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 77 files changed, 3253 insertions(+), 2636 deletions(-)

More information about httptest at CRAN
Permanent link

Package R6P updated to version 0.2.0 with previous version 0.1.1 dated 2021-01-19

Title: Design Patterns in R
Description: Build robust and maintainable software with object-oriented design patterns in R. Design patterns abstract and present in neat, well-defined components and interfaces the experience of many software designers and architects over many years of solving similar problems. These are solutions that have withstood the test of time with respect to re-usability, flexibility, and maintainability. 'R6P' provides abstract base classes with examples for a few known design patterns. The patterns were selected by their applicability to analytic projects in R. Using these patterns in R projects have proven effective in dealing with the complexity that data-driven applications possess.
Author: Harel Lustiger [aut, cre] (<https://orcid.org/0000-0003-2953-9598>), Tidylab [cph, fnd]
Maintainer: Harel Lustiger <tidylab@gmail.com>

Diff between R6P versions 0.1.1 dated 2021-01-19 and 0.2.0 dated 2021-02-01

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 man/Singleton.Rd     |    5 ++++
 man/ValueObject.Rd   |only
 12 files changed, 112 insertions(+), 39 deletions(-)

More information about R6P at CRAN
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Package cecs (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:

2021-01-18 0.1.0

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