Wed, 13 May 2020

Package vetr updated to version 0.2.10 with previous version 0.2.9 dated 2020-03-06

Title: Trust, but Verify
Description: Declarative template-based framework for verifying that objects meet structural requirements, and auto-composing error messages when they do not.
Author: Brodie Gaslam [aut, cre], Paxdiablo [cph] (Hash table implementation in src/pfhash.h), R Core Team [cph] (Used/adapted several code snippets from R sources, see src/misc-alike.c and src/valname.c)
Maintainer: Brodie Gaslam <brodie.gaslam@yahoo.com>

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New package simode with initial version 1.1.9
Package: simode
Type: Package
Title: Statistical Inference for Systems of Ordinary Differential Equations using Separable Integral-Matching
Version: 1.1.9
Authors@R: c( person("Itai", "Dattner", email = "idattner@stat.haifa.ac.il", role = "aut"), person("Rami", "Yaari", email = "ramiyaari@gmail.com", role = c("aut", "cre")))
Description: Implements statistical inference for systems of ordinary differential equations, that uses the integral-matching criterion and takes advantage of the separability of parameters, in order to obtain initial parameter estimates for nonlinear least squares optimization. Dattner & Yaari (2018) <arXiv:1807.04202>. Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>. Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.
Depends: R (>= 3.4.0)
Imports: deSolve, pracma, quadprog
Suggests: parallel, Rcgmin, Rvmmin, R.rsp, knitr, testthat
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2020-05-13 13:51:59 UTC; Owner
Author: Itai Dattner [aut], Rami Yaari [aut, cre]
Maintainer: Rami Yaari <ramiyaari@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-13 23:30:02 UTC

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Package mimsy updated to version 0.6.0 with previous version 0.4.3 dated 2020-01-28

Title: Calculate MIMS Dissolved Gas Concentrations Without Getting a Headache
Description: Calculate dissolved gas concentrations from raw MIMS (Membrane Inlet Mass Spectrometer) signal data. Use mimsy() on a formatted CSV file to return dissolved gas concentrations (mg and microMole) of N2, O2, Ar based on gas solubility at temperature, pressure, and salinity. See references Benson and Krause (1984) <DOI:10.4319/lo.1992.37.6.1307>, Garcia and Gordon (1992) <DOI:10.4319/lo.1984.29.3.0620>, Stull (1947) <DOI:10.1021/ie50448a022>, and Hamme and Emerson (2004) <DOI:10.1016/j.dsr.2004.06.009> for more information. Easily save the output to a nicely-formatted multi-tab 'Excel' workbook with mimsy.save(). Supports dual-temperature standard calibration for dual-bath MIMS setups.
Author: Michelle Catherine Kelly [aut, cre], Kevin Nevorski [ctb], Amy M. Marcarelli [ctb]
Maintainer: Michelle Catherine Kelly <mckelly1@mtu.edu>

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Package MachineShop updated to version 2.3.0 with previous version 2.2.0 dated 2020-03-18

Title: Machine Learning Models and Tools
Description: Meta-package for statistical and machine learning with a unified interface for model fitting, prediction, performance assessment, and presentation of results. Approaches for model fitting and prediction of numerical, categorical, or censored time-to-event outcomes include traditional regression models, regularization methods, tree-based methods, support vector machines, neural networks, ensembles, data preprocessing, filtering, and model tuning and selection. Performance metrics are provided for model assessment and can be estimated with independent test sets, split sampling, cross-validation, or bootstrap resampling. Resample estimation can be executed in parallel for faster processing and nested in cases of model tuning and selection. Modeling results can be summarized with descriptive statistics; calibration curves; variable importance; partial dependence plots; confusion matrices; and ROC, lift, and other performance curves.
Author: Brian J Smith [aut, cre]
Maintainer: Brian J Smith <brian-j-smith@uiowa.edu>

Diff between MachineShop versions 2.2.0 dated 2020-03-18 and 2.3.0 dated 2020-05-13

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Package LSPFP updated to version 1.0.3 with previous version 1.0.0 dated 2016-05-19

Title: Lysate and Secretome Peptide Feature Plotter
Description: Creates plots of peptides from shotgun proteomics analysis of secretome and lysate samples. These plots contain associated protein features and scores for potential secretion and truncation.
Author: Rafael Dellen, with contributions of Fabian Kruse
Maintainer: Gereon Poschmann <gereon.poschmann@hhu.de>

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Package DRHotNet updated to version 1.2 with previous version 1.1 dated 2019-09-15

Title: Differential Risk Hotspots in a Linear Network
Description: Performs the identification of differential risk hotspots (Briz-Redon et al. 2019) <doi:10.1016/j.aap.2019.105278> along a linear network. Given a marked point pattern lying on the linear network, the method implemented uses a network-constrained version of kernel density estimation (McSwiggan et al. 2017) <doi:10.1111/sjos.12255> to approximate the probability of occurrence across space for the type of event specified by the user through the marks of the pattern (Kelsall and Diggle 1995) <doi:10.2307/3318678>. The goal is to detect microzones of the linear network where the type of event indicated by the user is overrepresented.
Author: Alvaro Briz-Redon
Maintainer: Alvaro Briz-Redon <alvaro.briz@uv.es>

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Package cort updated to version 0.3.1 with previous version 0.3.0 dated 2020-04-01

Title: Some Empiric and Nonparametric Copula Models
Description: Provides S4 classes and methods to fit several copula models: The classic empirical checkerboard copula and the empirical checkerboard copula with known margins, see Cuberos, Masiello and Maume-Deschamps (2019) <doi:10.1080/03610926.2019.1586936> are proposed. These two models allow to fit copulas in high dimension with a small number of observations, and they are always proper copulas. Some flexibility is added via a possibility to differentiate the checkerboard parameter by dimension. The last model consist of the implementation of the Copula Recursive Tree algorithm proposed by Laverny, Maume-Deschamps, Masiello and Rullière (2020) <arXiv:2005.02912>, including the localised dimension reduction, which fits a copula by recursive splitting of the copula domain. We also provide an efficient way of mixing copulas, allowing to bag the algorithm into a forest, and a generic way of measuring d-dimensional boxes with a copula.
Author: Oskar Laverny [aut, cre] (<https://orcid.org/0000-0002-7508-999X>)
Maintainer: Oskar Laverny <oskar.laverny@gmail.com>

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Package anglr updated to version 0.6.0 with previous version 0.5.0 dated 2020-04-28

Title: Mesh Topology and Visualization for Spatial Data
Description: Gives direct access to generic 3D tools and provides a full suite of mesh-creation and 3D plotting functions. By extending the 'rgl' package conversion and visualization functions for the 'mesh3d' class a wide variety of complex spatial data can be brought into 3D scenes. These tools allow for spatial raster, polygons, and lines that are common in 'GIS' contexts to be converted into mesh forms with high flexibility and the ability to integrate disparate data types. Vector and raster data can be seamlessly combined as meshes, and surfaces can be set to have material properties based on data values or with image textures. Textures and other data combinations use projection transformations to map between coordinate systems, and objects can be easily visualized in an interactive scene at any stage. This package relies on the 'RTriangle' package for high-quality triangular meshing which is licensed restrictively under 'CC BY-NC-SA 4.0'.
Author: Michael D. Sumner [aut, cre], Miles McBain [ctb]
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package SQRL updated to version 0.7.2 with previous version 0.7.1 dated 2020-03-14

Title: Enhanced Database Interactivity
Description: Facilitates interaction with ODBC data sources, by remembering and hiding communication settings and supporting parameterised multi-statement SQL with embedded R.
Author: Mike Lee
Maintainer: Mike Lee <random.deviate@gmail.com>

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Package wikifacts updated to version 0.2 with previous version 0.1.0 dated 2019-08-01

Title: Generates Facts Sourced from the Wikipedia Main Page
Description: Displays random facts from the Wikipedia homepage. Intended to keep users interested during long waiting periods.
Author: Keith McNulty [aut, cre]
Maintainer: Keith McNulty <keith.mcnulty@gmail.com>

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Package CARRoT updated to version 2.5.1 with previous version 2.5.0 dated 2020-03-26

Title: Predicting Categorical and Continuous Outcomes Using One in Ten Rule
Description: Predicts categorical or continuous outcomes while concentrating on four key points. These are Cross-validation, Accuracy, Regression and Rule of Ten or "one in ten rule" (CARRoT). It performs the cross-validation specified number of times by partitioning the input into training and test set and fitting linear/multinomial/binary regression models to the training set. All regression models satisfying a rule of ten events per variable are fitted and the ones with the best predictive power are given as an output. Best predictive power is understood as highest accuracy in case of binary/multinomial outcomes, smallest absolute and relative errors in case of continuous outcomes. For binary case there is also an option of finding a regression model which gives the highest AUROC (Area Under Receiver Operating Curve) value. The option of parallel toolbox is also available. Methods are described in Peduzzi et al. (1996) <doi:10.1016/S0895-4356(96)00236-3> and Rhemtulla et al. (2012) <doi:10.1037/a0029315>.
Author: Alina Bazarova [aut, cre], Marko Raseta [aut]
Maintainer: Alina Bazarova <a.bazarova@uni-koeln.de>

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Package teachingApps updated to version 1.0.8 with previous version 1.0.4 dated 2018-06-10

Title: Apps for Teaching Statistics, R Programming, and Shiny App Development
Description: Contains apps and gadgets for teaching data analysis and statistics concepts along with how to implement them in R. Includes tools to make app development easier and faster by nesting apps together.
Author: Jason Freels [aut, cre], Bradley Boehmke [ctb]
Maintainer: Jason Freels <auburngrads@live.com>

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Package scTenifoldNet updated to version 1.2.2 with previous version 1.2.1 dated 2020-04-09

Title: Construct and Compare scGRN from Single-Cell Transcriptomic Data
Description: A workflow based on machine learning methods to construct and compare single-cell gene regulatory networks (scGRN) using single-cell RNA-seq (scRNA-seq) data collected from different conditions. Uses principal component regression, tensor decomposition, and manifold alignment, to accurately identify even subtly shifted gene expression programs.
Author: Daniel Osorio [aut, cre] (<https://orcid.org/0000-0003-4424-8422>), Yan Zhong [aut, ctb], Guanxun Li [aut, ctb], Jianhua Huang [aut, ctb], James Cai [aut, ctb, ths] (<https://orcid.org/0000-0002-8081-6725>)
Maintainer: Daniel Osorio <dcosorioh@tamu.edu>

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Package MixSIAR updated to version 3.1.11 with previous version 3.1.10 dated 2018-04-12

Title: Bayesian Mixing Models in R
Description: Creates and runs Bayesian mixing models to analyze biological tracer data (i.e. stable isotopes, fatty acids), which estimate the proportions of source (prey) contributions to a mixture (consumer). 'MixSIAR' is not one model, but a framework that allows a user to create a mixing model based on their data structure and research questions, via options for fixed/ random effects, source data types, priors, and error terms. 'MixSIAR' incorporates several years of advances since 'MixSIR' and 'SIAR'.
Author: Brian Stock [cre, aut], Brice Semmens [aut], Eric Ward [ctb], Andrew Parnell [ctb], Andrew Jackson [ctb], Donald Phillips [ctb]
Maintainer: Brian Stock <b1stock@ucsd.edu>

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Package govdown updated to version 0.9.1 with previous version 0.8.0 dated 2020-01-09

Title: GOV.UK Style Templates for R Markdown
Description: A suite of custom R Markdown formats and templates for authoring web pages styled with the GOV.UK Design System.
Author: Crown Copyright 2019 [cph], Duncan Garmonsway [aut, cre]
Maintainer: Duncan Garmonsway <duncan.garmonsway@digital.cabinet-office.gov.uk>

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Package backports updated to version 1.1.7 with previous version 1.1.6 dated 2020-04-05

Title: Reimplementations of Functions Introduced Since R-3.0.0
Description: Functions introduced or changed since R v3.0.0 are re-implemented in this package. The backports are conditionally exported in order to let R resolve the function name to either the implemented backport, or the respective base version, if available. Package developers can make use of new functions or arguments by selectively importing specific backports to support older installations.
Author: Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>), R Core Team [aut]
Maintainer: Michel Lang <michellang@gmail.com>

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Package insight updated to version 0.8.4 with previous version 0.8.3 dated 2020-04-20

Title: Easy Access to Model Information for Various Model Objects
Description: A tool to provide an easy, intuitive and consistent access to information contained in various R models, like model formulas, model terms, information about random effects, data that was used to fit the model or data from response variables. 'insight' mainly revolves around two types of functions: Functions that find (the names of) information, starting with 'find_', and functions that get the underlying data, starting with 'get_'. The package has a consistent syntax and works with many different model objects, where otherwise functions to access these information are missing.
Author: Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>), Dominique Makowski [aut, ctb] (<https://orcid.org/0000-0001-5375-9967>), Indrajeet Patil [aut, ctb] (<https://orcid.org/0000-0003-1995-6531>), Philip Waggoner [aut, ctb] (<https://orcid.org/0000-0002-7825-7573>)
Maintainer: Daniel Lüdecke <d.luedecke@uke.de>

Diff between insight versions 0.8.3 dated 2020-04-20 and 0.8.4 dated 2020-05-13

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Package freesurferformats updated to version 0.1.10 with previous version 0.1.9 dated 2020-04-14

Title: Read and Write 'FreeSurfer' Neuroimaging File Formats
Description: Provides functions to read and write data from neuroimaging files in 'FreeSurfer' <http://freesurfer.net/> binary formats. This includes, but is not limited to, the following file formats: 1) MGH/MGZ format files, which can contain multi-dimensional images or other data. Typically they contain time-series of three-dimensional brain scans acquired by magnetic resonance imaging (MRI). They can also contain vertex-wise measures of surface morphometry data. The MGH format is named after the Massachusetts General Hospital, and the MGZ format is a compressed version of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv' format. These contain vertex-wise surface measures, i.e., one scalar value for each vertex of a brain surface mesh. These are typically values like the cortical thickness or brain surface area at each vertex. 3) Annotation file format. This contains a brain surface parcellation derived from a cortical atlas. 4) Surface file format. Contains a brain surface mesh, given by a list of vertices and a list of faces.
Author: Tim Schäfer [aut, cre] (<https://orcid.org/0000-0002-3683-8070>)
Maintainer: Tim Schäfer <ts+code@rcmd.org>

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Package dlnm updated to version 2.4.1 with previous version 2.3.9 dated 2019-03-11

Title: Distributed Lag Non-Linear Models
Description: Collection of functions for distributed lag linear and non-linear models.
Author: Antonio Gasparrini [aut, cre], Ben Armstrong [aut], Fabian Scheipl [ctb]
Maintainer: Antonio Gasparrini <antonio.gasparrini@lshtm.ac.uk>

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Package cna updated to version 2.2.3 with previous version 2.2.2 dated 2019-12-06

Title: Causal Modeling with Coincidence Analysis
Description: Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is related to Qualitative Comparative Analysis (QCA), but contrary to the latter, it is custom-built for uncovering causal structures with multiple outcomes and it builds causal models from the bottom up by gradually combining single factors to complex dependency structures until the requested thresholds of model fit are met. The new functionalities provided by this package version include functions for evaluating and benchmarking the correctness of CNA's output, a function determining whether a solution is an INUS model, a function bringing non-INUS expressions into INUS form, and a function for identifying cyclic models. The package vignette has been updated accordingly.
Author: Mathias Ambuehl [aut, cre, cph], Michael Baumgartner [aut, cph], Ruedi Epple [ctb], Veli-Pekka Parkkinen [ctb], Alrik Thiem [ctb]
Maintainer: Mathias Ambuehl <mathias.ambuehl@consultag.ch>

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Package chngpt updated to version 2020.5-13 with previous version 2020.2-26 dated 2020-02-27

Title: Estimation and Hypothesis Testing for Threshold Regression
Description: Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) chngpt: threshold regression model estimation and inference, BMC Bioinformatics, in press, DOI:10.1186/s12859-017-1863-x.
Author: Youyi Fong [cre], Adam Elder [aut], Hyunju Son [aut], Zonglin He [aut], Tao Yang [aut]
Maintainer: Youyi Fong <youyifong@gmail.com>

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Package UniprotR updated to version 1.2.5 with previous version 1.2.4 dated 2020-03-19

Title: Retrieving Information of Proteins from Uniprot
Description: Connect to Uniprot <https://www.uniprot.org/> to retrieve information about proteins using their accession number such information could be name or taxonomy information, For detailed information kindly read the publication <https://www.sciencedirect.com/science/article/pii/S1874391919303859>.
Author: Mohamed Soudy [aut, cre], Ali Mostafa [aut]
Maintainer: Mohamed Soudy <MohmedSoudy2009@gmail.com>

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Package lavaan updated to version 0.6-6 with previous version 0.6-5 dated 2019-08-28

Title: Latent Variable Analysis
Description: Fit a variety of latent variable models, including confirmatory factor analysis, structural equation modeling and latent growth curve models.
Author: Yves Rosseel [aut, cre] (<https://orcid.org/0000-0002-4129-4477>), Terrence D. Jorgensen [aut] (<https://orcid.org/0000-0001-5111-6773>), Daniel Oberski [ctb], Jarrett Byrnes [ctb], Leonard Vanbrabant [ctb], Victoria Savalei [ctb], Ed Merkle [ctb], Michael Hallquist [ctb], Mijke Rhemtulla [ctb], Myrsini Katsikatsou [ctb], Mariska Barendse [ctb], Florian Scharf [ctb]
Maintainer: Yves Rosseel <Yves.Rosseel@UGent.be>

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 lavaan-0.6-6/lavaan/R/lav_fit_measures.R          |   36 +
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 lavaan-0.6-6/lavaan/R/lav_integrate.R             |    2 
 lavaan-0.6-6/lavaan/R/lav_matrix.R                |  138 ++++++-
 lavaan-0.6-6/lavaan/R/lav_matrix_rotate.R         |   12 
 lavaan-0.6-6/lavaan/R/lav_model.R                 |   24 -
 lavaan-0.6-6/lavaan/R/lav_model_compute.R         |   12 
 lavaan-0.6-6/lavaan/R/lav_model_efa.R             |   32 -
 lavaan-0.6-6/lavaan/R/lav_model_estimate.R        |   90 ++++
 lavaan-0.6-6/lavaan/R/lav_model_gradient_pml.R    |   38 +
 lavaan-0.6-6/lavaan/R/lav_model_h1_information.R  |   20 -
 lavaan-0.6-6/lavaan/R/lav_model_hessian.R         |   14 
 lavaan-0.6-6/lavaan/R/lav_model_information.R     |    9 
 lavaan-0.6-6/lavaan/R/lav_model_loglik.R          |   12 
 lavaan-0.6-6/lavaan/R/lav_model_vcov.R            |   53 ++
 lavaan-0.6-6/lavaan/R/lav_muthen1984.R            |  188 ++++++---
 lavaan-0.6-6/lavaan/R/lav_mvnorm.R                |   56 ++
 lavaan-0.6-6/lavaan/R/lav_mvnorm_cluster.R        |    2 
 lavaan-0.6-6/lavaan/R/lav_mvnorm_h1.R             |   90 +++-
 lavaan-0.6-6/lavaan/R/lav_mvnorm_missing.R        |  148 +++++--
 lavaan-0.6-6/lavaan/R/lav_mvnorm_missing_h1.R     |   24 +
 lavaan-0.6-6/lavaan/R/lav_nlminb_constr.R         |    1 
 lavaan-0.6-6/lavaan/R/lav_object_generate.R       |    9 
 lavaan-0.6-6/lavaan/R/lav_object_inspect.R        |  112 +++--
 lavaan-0.6-6/lavaan/R/lav_object_methods.R        |  183 ++++++---
 lavaan-0.6-6/lavaan/R/lav_object_print.R          |  134 ++++--
 lavaan-0.6-6/lavaan/R/lav_objective.R             |   73 ++-
 lavaan-0.6-6/lavaan/R/lav_options.R               |  322 +++++++++++++---
 lavaan-0.6-6/lavaan/R/lav_partable.R              |  235 ++++++------
 lavaan-0.6-6/lavaan/R/lav_partable_attributes.R   |   22 -
 lavaan-0.6-6/lavaan/R/lav_partable_bounds.R       |only
 lavaan-0.6-6/lavaan/R/lav_partable_flat.R         |    2 
 lavaan-0.6-6/lavaan/R/lav_partable_from_lm.R      |    2 
 lavaan-0.6-6/lavaan/R/lav_partable_utils.R        |   19 
 lavaan-0.6-6/lavaan/R/lav_partable_vnames.R       |   34 +
 lavaan-0.6-6/lavaan/R/lav_predict.R               |  240 +++++++++---
 lavaan-0.6-6/lavaan/R/lav_print.R                 |   99 ++++-
 lavaan-0.6-6/lavaan/R/lav_representation_lisrel.R |    2 
 lavaan-0.6-6/lavaan/R/lav_residuals.R             |  426 ++++++++++++++++++----
 lavaan-0.6-6/lavaan/R/lav_samplestats.R           |   49 +-
 lavaan-0.6-6/lavaan/R/lav_samplestats_gamma.R     |   58 ++
 lavaan-0.6-6/lavaan/R/lav_samplestats_step1.R     |   43 +-
 lavaan-0.6-6/lavaan/R/lav_samplestats_step2.R     |   77 ++-
 lavaan-0.6-6/lavaan/R/lav_simulate.R              |   17 
 lavaan-0.6-6/lavaan/R/lav_simulate_old.R          |    9 
 lavaan-0.6-6/lavaan/R/lav_standardize.R           |  111 ++---
 lavaan-0.6-6/lavaan/R/lav_start.R                 |  147 ++++++-
 lavaan-0.6-6/lavaan/R/lav_syntax.R                |   39 +-
 lavaan-0.6-6/lavaan/R/lav_tables.R                |    6 
 lavaan-0.6-6/lavaan/R/lav_test.R                  |   57 ++
 lavaan-0.6-6/lavaan/R/lav_test_LRT.R              |  155 +++++---
 lavaan-0.6-6/lavaan/R/lav_test_diff.R             |    2 
 lavaan-0.6-6/lavaan/R/lav_test_satorra_bentler.R  |   24 +
 lavaan-0.6-6/lavaan/R/lav_test_score.R            |    9 
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 lavaan-0.6-6/lavaan/man/lavTablesFit.Rd           |    2 
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More information about lavaan at CRAN
Permanent link

Package jomo updated to version 2.7-0 with previous version 2.6-10 dated 2019-10-22

Title: Multilevel Joint Modelling Multiple Imputation
Description: Similarly to Schafer's package 'pan', 'jomo' is a package for multilevel joint modelling multiple imputation (Carpenter and Kenward, 2013) <doi: 10.1002/9781119942283>. Novel aspects of 'jomo' are the possibility of handling binary and categorical data through latent normal variables, the option to use cluster-specific covariance matrices and to impute compatibly with the substantive model.
Author: Matteo Quartagno, James Carpenter
Maintainer: Matteo Quartagno <m.quartagno@ucl.ac.uk>

Diff between jomo versions 2.6-10 dated 2019-10-22 and 2.7-0 dated 2020-05-13

 jomo-2.6-10/jomo/src/jomo1clmmC.c              |only
 jomo-2.6-10/jomo/src/jomo1clmmhrC.c            |only
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 jomo-2.6-10/jomo/src/jomo1lmerC.c              |only
 jomo-2.6-10/jomo/src/jomo1lmerhrC.c            |only
 jomo-2.6-10/jomo/src/jomo2clmmC.c              |only
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 jomo-2.6-10/jomo/src/jomocoxC.c                |only
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 jomo-2.7-0/jomo/DESCRIPTION                    |    8 
 jomo-2.7-0/jomo/MD5                            |  150 +++----
 jomo-2.7-0/jomo/NAMESPACE                      |    3 
 jomo-2.7-0/jomo/R/jomo.clmm.MCMCchain.R        |  131 ++++--
 jomo-2.7-0/jomo/R/jomo.clmm.R                  |  137 ++++--
 jomo-2.7-0/jomo/R/jomo.coxph.MCMCchain.R       |   67 ++-
 jomo-2.7-0/jomo/R/jomo.coxph.R                 |   69 ++-
 jomo-2.7-0/jomo/R/jomo.glm.MCMCchain.R         |   66 ++-
 jomo-2.7-0/jomo/R/jomo.glm.R                   |   70 ++-
 jomo-2.7-0/jomo/R/jomo.glmer.MCMCchain.R       |  129 ++++--
 jomo-2.7-0/jomo/R/jomo.glmer.R                 |  135 ++++--
 jomo-2.7-0/jomo/R/jomo.lm.MCMCchain.R          |   75 ++-
 jomo-2.7-0/jomo/R/jomo.lm.R                    |  141 ++++--
 jomo-2.7-0/jomo/R/jomo.lmer.MCMCchain.R        |  129 ++++--
 jomo-2.7-0/jomo/R/jomo.lmer.R                  |  136 ++++--
 jomo-2.7-0/jomo/R/jomo.polr.MCMCchain.R        |   67 ++-
 jomo-2.7-0/jomo/R/jomo.polr.R                  |   71 ++-
 jomo-2.7-0/jomo/R/jomo1cat.MCMCchain.R         |   29 +
 jomo-2.7-0/jomo/R/jomo1cat.R                   |   38 +
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 jomo-2.7-0/jomo/R/jomo1con.R                   |   32 +
 jomo-2.7-0/jomo/R/jomo1mix.MCMCchain.R         |   29 +
 jomo-2.7-0/jomo/R/jomo1mix.R                   |   33 +
 jomo-2.7-0/jomo/R/jomo1rancat.MCMCchain.R      |   29 +
 jomo-2.7-0/jomo/R/jomo1rancat.R                |   32 +
 jomo-2.7-0/jomo/R/jomo1rancathr.MCMCchain.R    |   30 +
 jomo-2.7-0/jomo/R/jomo1rancathr.R              |   32 +
 jomo-2.7-0/jomo/R/jomo1rancon.MCMCchain.R      |   30 +
 jomo-2.7-0/jomo/R/jomo1rancon.R                |   31 +
 jomo-2.7-0/jomo/R/jomo1ranconhr.MCMCchain.R    |   29 +
 jomo-2.7-0/jomo/R/jomo1ranconhr.R              |   31 +
 jomo-2.7-0/jomo/R/jomo1ranmix.MCMCchain.R      |   29 +
 jomo-2.7-0/jomo/R/jomo1ranmix.R                |   32 +
 jomo-2.7-0/jomo/R/jomo1ranmixhr.MCMCchain.R    |   29 +
 jomo-2.7-0/jomo/R/jomo1ranmixhr.R              |   31 +
 jomo-2.7-0/jomo/R/jomo2com.MCMCchain.R         |   60 ++
 jomo-2.7-0/jomo/R/jomo2com.R                   |   60 ++
 jomo-2.7-0/jomo/R/jomo2hr.MCMCchain.R          |   58 ++
 jomo-2.7-0/jomo/R/jomo2hr.R                    |   59 ++
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 jomo-2.7-0/jomo/man/jomo.lmer.Rd               |    2 
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 jomo-2.7-0/jomo/man/jomo.polr.Rd               |    2 
 jomo-2.7-0/jomo/man/jomo.smc.MCMCchain.Rd      |    2 
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 jomo-2.7-0/jomo/man/jomo1ranconhr.MCMCchain.Rd |   11 
 jomo-2.7-0/jomo/src/jomo1C.c                   |  176 ++++----
 jomo-2.7-0/jomo/src/jomo1ranC.c                |  164 ++++---
 jomo-2.7-0/jomo/src/jomo1ranhrC.c              |  385 ++++++++++--------
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 jomo-2.7-0/jomo/src/jomo1smcC.c                |only
 jomo-2.7-0/jomo/src/jomo2comC.c                |  350 ++++++++++------
 jomo-2.7-0/jomo/src/jomo2hrC.c                 |  523 +++++++++++++++----------
 jomo-2.7-0/jomo/src/jomo2hrsmcC.c              |only
 jomo-2.7-0/jomo/src/jomo2smcC.c                |only
 jomo-2.7-0/jomo/src/jomo_init.c                |   62 --
 jomo-2.7-0/jomo/src/pdflib.c                   |   13 
 jomo-2.7-0/jomo/src/pdflib.h                   |    1 
 87 files changed, 2908 insertions(+), 1188 deletions(-)

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Package glue updated to version 1.4.1 with previous version 1.4.0 dated 2020-04-03

Title: Interpreted String Literals
Description: An implementation of interpreted string literals, inspired by Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals <https://docs.julialang.org/en/v1.3/manual/strings/#Triple-Quoted-String-Literals-1>.
Author: Jim Hester [aut, cre]
Maintainer: Jim Hester <james.f.hester@gmail.com>

Diff between glue versions 1.4.0 dated 2020-04-03 and 1.4.1 dated 2020-05-13

 glue-1.4.0/glue/man/glue-vctrs.Rd           |only
 glue-1.4.1/glue/DESCRIPTION                 |   10 +--
 glue-1.4.1/glue/MD5                         |   27 ++++----
 glue-1.4.1/glue/NAMESPACE                   |    7 --
 glue-1.4.1/glue/NEWS.md                     |    6 +
 glue-1.4.1/glue/R/sql.R                     |   32 +++++-----
 glue-1.4.1/glue/R/vctrs.R                   |   88 ++--------------------------
 glue-1.4.1/glue/R/zzz.R                     |   10 +--
 glue-1.4.1/glue/build/vignette.rds          |binary
 glue-1.4.1/glue/inst/doc/transformers.R     |   28 ++++----
 glue-1.4.1/glue/inst/doc/transformers.html  |    4 -
 glue-1.4.1/glue/src/glue.c                  |    2 
 glue-1.4.1/glue/src/trim.c                  |    2 
 glue-1.4.1/glue/tests/testthat/test-sql.R   |   15 ++++
 glue-1.4.1/glue/tests/testthat/test-vctrs.R |    8 +-
 15 files changed, 94 insertions(+), 145 deletions(-)

More information about glue at CRAN
Permanent link

New package TransPhylo with initial version 1.4.2
Package: TransPhylo
Version: 1.4.2
Date: 2020-05-11
Title: Inference of Transmission Tree from a Dated Phylogeny
Authors@R: c(person("Xavier","Didelot", email="xavier.didelot@gmail.com", comment = c(ORCID = "0000-0003-1885-500X"), role=c("aut", "cre")), person("Yuanwei", "Xu", email = "y.xu@bham.ac.uk", role = c("ctb")))
Maintainer: Xavier Didelot <xavier.didelot@gmail.com>
Description: Inference of transmission tree from a dated phylogeny. Includes methods to simulate and analyse outbreaks. The methodology is described in Didelot et al. (2014) <doi:10.1093/molbev/msu121>, Didelot et al. (2017) <doi:10.1093/molbev/msw275>.
License: GPL (>= 2)
Depends: R (>= 3.0.0)
Imports: Rcpp (>= 0.12.8), stats, graphics, ape
Suggests: knitr, testthat, purrr, coda, grDevices, lattice
LinkingTo: Rcpp
Encoding: UTF-8
RoxygenNote: 6.1.1
SystemRequirements: C++11
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2020-05-11 14:46:12 UTC; Xavier
Author: Xavier Didelot [aut, cre] (<https://orcid.org/0000-0003-1885-500X>), Yuanwei Xu [ctb]
Repository: CRAN
Date/Publication: 2020-05-13 16:00:07 UTC

More information about TransPhylo at CRAN
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New package tabshiftr with initial version 0.1.2
Package: tabshiftr
Title: Reshape Disorganised Messy Data
Version: 0.1.2
Authors@R: c( person("Steffen", "Ehrmann", email = "steffen@funroll-loops.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2958-0796")), person("Abdualmaged", "Alhemiary", role = c("ctb")), person("Amelie", "Haas", role = c("ctb")), person("Annika", "Ertel", role = c("ctb")), person("Arne", "Rümmler", email = "arne.ruemmler@tu-dresden.de", role = c("ctb"), comment = c(ORCID = "0000-0001-8637-9071")) )
Description: Helps the user to build and register schema descriptions of disorganised (messy) tables. Disorganised tables are tables that are not in a topologically coherent form, where packages such as 'tidyr' could be used for reshaping. The schema description documents the arrangement of input tables and is used to reshape them into a standardised (tidy) output format.
URL: https://github.com/EhrmannS/tabshiftr
BugReports: https://github.com/EhrmannS/tabshiftr/issues
Depends: R (>= 2.10)
Language: en-gb
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: checkmate, rlang, tibble, dplyr, tidyr, magrittr, tidyselect, testthat, crayon, methods, purrr, stringr
RoxygenNote: 7.1.0
Suggests: knitr, rmarkdown, bookdown, readr, covr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-11 13:27:19 UTC; se87kuhe
Author: Steffen Ehrmann [aut, cre] (<https://orcid.org/0000-0002-2958-0796>), Abdualmaged Alhemiary [ctb], Amelie Haas [ctb], Annika Ertel [ctb], Arne Rümmler [ctb] (<https://orcid.org/0000-0001-8637-9071>)
Maintainer: Steffen Ehrmann <steffen@funroll-loops.de>
Repository: CRAN
Date/Publication: 2020-05-13 15:10:02 UTC

More information about tabshiftr at CRAN
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New package PASSED with initial version 1.0-1
Package: PASSED
Title: Calculate Power and Sample Size for Two Sample Mean Tests
Version: 1.0-1
Date: 2020-05-04
Authors@R: c(person("Jinpu", "Li", email = "lijinp@health.missouri.edu", role = c("aut", "cre")), person("Ryan", "Knigge", email = "rknigge@health.missouri.edu", role = "aut"), person("Emily", "Leary", email = "LearyE@health.missouri.edu", role = "aut"))
Description: Power calculations are a critical component of any research study to determine the minimum sample size necessary to detect differences between multiple groups. Here we present an 'R' package, 'PASSED', that performs power and sample size calculations for the test of two-sample means or ratios with data following beta, gamma (Chang et al. (2011), <doi:10.1007/s00180-010-0209-1>), normal, Poisson (Gu et al. (2008), <doi:10.1002/bimj.200710403>), binomial, geometric, and negative binomial (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>) distributions.
Depends: R (>= 3.6)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: betareg, stats, rootSolve, MESS
Suggests: knitr, rmarkdown, MKmisc
NeedsCompilation: no
Packaged: 2020-05-11 18:27:33 UTC; birdn
Author: Jinpu Li [aut, cre], Ryan Knigge [aut], Emily Leary [aut]
Maintainer: Jinpu Li <lijinp@health.missouri.edu>
Repository: CRAN
Date/Publication: 2020-05-13 15:40:02 UTC

More information about PASSED at CRAN
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Package ggcharts updated to version 0.2.0 with previous version 0.1.0 dated 2020-03-26

Title: Shorten the Distance from Data Visualization Idea to Actual Plot
Description: Streamline the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface to create plots using 'ggplot2'.
Author: Thomas Neitmann [aut, cre], Julia Silge [ctb, cph], David Robinson [ctb, cph]
Maintainer: Thomas Neitmann <th.neitmann@gmail.com>

Diff between ggcharts versions 0.1.0 dated 2020-03-26 and 0.2.0 dated 2020-05-13

 ggcharts-0.1.0/ggcharts/R/diverging_bar_chart.R                                                                    |only
 ggcharts-0.1.0/ggcharts/R/diverging_lollipop_chart.R                                                               |only
 ggcharts-0.1.0/ggcharts/R/theme_discrete_chart.R                                                                   |only
 ggcharts-0.2.0/ggcharts/DESCRIPTION                                                                                |   16 
 ggcharts-0.2.0/ggcharts/MD5                                                                                        |  102 
 ggcharts-0.2.0/ggcharts/NAMESPACE                                                                                  |   16 
 ggcharts-0.2.0/ggcharts/NEWS.md                                                                                    |only
 ggcharts-0.2.0/ggcharts/R/bar_chart.R                                                                              |   76 
 ggcharts-0.2.0/ggcharts/R/data.R                                                                                   |   28 
 ggcharts-0.2.0/ggcharts/R/diverging_chart.R                                                                        |only
 ggcharts-0.2.0/ggcharts/R/dumbbell_chart.R                                                                         |   72 
 ggcharts-0.2.0/ggcharts/R/ggcharts_global.R                                                                        |only
 ggcharts-0.2.0/ggcharts/R/highlight.R                                                                              |only
 ggcharts-0.2.0/ggcharts/R/lollipop_chart.R                                                                         |   83 
 ggcharts-0.2.0/ggcharts/R/post_process_plot.R                                                                      |   56 
 ggcharts-0.2.0/ggcharts/R/pre_process_data.R                                                                       |   74 
 ggcharts-0.2.0/ggcharts/R/pyramid_chart.R                                                                          |   22 
 ggcharts-0.2.0/ggcharts/R/reorder_within.R                                                                         |    2 
 ggcharts-0.2.0/ggcharts/R/theme.R                                                                                  |only
 ggcharts-0.2.0/ggcharts/R/utils.R                                                                                  |   56 
 ggcharts-0.2.0/ggcharts/README.md                                                                                  |   15 
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 ggcharts-0.2.0/ggcharts/inst/WORDLIST                                                                              |    8 
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Package seplyr updated to version 0.8.7 with previous version 0.8.6 dated 2020-04-30

Title: Improved Standard Evaluation Interfaces for Common Data Manipulation Tasks
Description: The 'seplyr' (standard evaluation plying) package supplies improved standard evaluation adapter methods for important common 'dplyr' data manipulation tasks. In addition the 'seplyr' package supplies several new "key operations bound together" methods. These include 'group_summarize()' (which combines grouping, arranging and calculation in an atomic unit), 'add_group_summaries()' (which joins grouped summaries into a 'data.frame' in a well documented manner), 'add_group_indices()' (which adds per-group identifiers to a 'data.frame' without depending on row-order), 'partition_mutate_qt()' (which optimizes mutate sequences), and 'if_else_device()' (which simulates per-row if-else blocks in expression sequences).
Author: John Mount [aut, cre], Win-Vector LLC [cph]
Maintainer: John Mount <jmount@win-vector.com>

Diff between seplyr versions 0.8.6 dated 2020-04-30 and 0.8.7 dated 2020-05-13

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Package qualmap updated to version 0.2.0 with previous version 0.1.1 dated 2018-09-12

Title: Opinionated Approach for Digitizing Semi-Structured Qualitative GIS Data
Description: Provides a set of functions for taking qualitative GIS data, hand drawn on a map, and converting it to a simple features object. These tools are focused on data that are drawn on a map that contains some type of polygon features. For each area identified on the map, the id numbers of these polygons can be entered as vectors and transformed using qualmap.
Author: Christopher Prener [aut, cre] (<https://orcid.org/0000-0002-4310-9888>)
Maintainer: Christopher Prener <chris.prener@slu.edu>

Diff between qualmap versions 0.1.1 dated 2018-09-12 and 0.2.0 dated 2020-05-13

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New package ORdensity with initial version 1.0
Package: ORdensity
Type: Package
Title: Identification of Differentially Expressed Genes
Version: 1.0
Author: José María Martínez Otzeta, Concepción Arenas, Basilio Sierra, Itziar Irigoien
Maintainer: José María Martínez Otzeta <josemaria.martinezo@ehu.eus>
Description: Automated discovery of differentially expressed genes. The method (called ORdensity) is composed of two phases: discovering potential differentially expressed genes and recognizing differentially expressed genes. It makes use of a permutation resampling procedure to build outlying and density indexes. References: a) Irigoien, I. and Arenas, C. (2018). "Identification of differentially expressed genes by means of outlier detection". <doi:10.1186/s12859-018-2318-8>. b) Martínez-Otzeta, J. M., Irigoien, I., Sierra, B., and Arenas, C. (2020). "ORdensity: user-friendly R package to identify differentially expressed genes". <doi:10.1186/s12859-020-3463-4>.
Depends: R (>= 2.10)
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.0
Imports: cluster, distances, Rfast, plyr, methods, foreach, doRNG, parallel, doParallel
NeedsCompilation: no
Packaged: 2020-05-11 16:15:59 UTC; paxpan
Repository: CRAN
Date/Publication: 2020-05-13 14:40:02 UTC

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New package mosaic.find with initial version 0.1.0
Package: mosaic.find
Type: Package
Title: Finding Rhythmic and Non-Rhythmic Trends in Multi-Omics Data (MOSAIC)
Version: 0.1.0
Authors@R: c(person("Hannah", "De los Santos", email = "delosh@rpi.edu", role = c("aut", "cre", "cph")), person("Kristin", "Bennett", role = c("aut")), person("Jennifer", "Hurley", role = c("aut")), person("R Development Core Team", role = c("aut")))
Maintainer: Hannah De los Santos <delosh@rpi.edu>
Description: Provides a function (mosaic_find()) designed to find rhythmic and non-rhythmic trends in multi-omics time course data using model selection and joint modeling, a method called MOSAIC (Multi-Omics Selection with Amplitude Independent Criteria). For more information, see H. De los Santos et al. (2020) <doi:10.1101/2020.04.27.064147>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/delosh653/MOSAIC
Depends: R (>= 2.10)
Imports: minpack.lm (>= 1.2.1)
RoxygenNote: 6.1.1
Suggests: knitr, rmarkdown, ggplot2
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2020-05-11 15:32:25 UTC; delosh
Author: Hannah De los Santos [aut, cre, cph], Kristin Bennett [aut], Jennifer Hurley [aut], R Development Core Team [aut]
Repository: CRAN
Date/Publication: 2020-05-13 14:20:02 UTC

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New package hettreatreg with initial version 0.1.0
Package: hettreatreg
Type: Package
Title: Heterogeneous Treatment Effects in Regression Analysis
Version: 0.1.0
Authors@R: c( person("Tymon", "Sloczynski", role = c("aut"), email = "tslocz@brandeis.edu"), person("Mark", "McAvoy", role = c("cre"), email = "mcavoy@brandeis.edu"))
Description: Computes diagnostics for linear regression when treatment effects are heterogeneous. The output of 'hettreatreg' represents ordinary least squares (OLS) estimates of the effect of a binary treatment as a weighted average of the average treatment effect on the treated (ATT) and the average treatment effect on the untreated (ATU). The program estimates the OLS weights on these parameters, computes the associated model diagnostics, and reports the implicit OLS estimate of the average treatment effect (ATE). See Sloczynski (2019), <http://people.brandeis.edu/~tslocz/Sloczynski_paper_regression.pdf>.
URL: https://github.com/tslocz/hettreatreg
Depends: R (>= 3.1)
Imports: stats
License: GPL-2
Encoding: UTF-8
LazyData: TRUE
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-11 17:27:20 UTC; Maple
Author: Tymon Sloczynski [aut], Mark McAvoy [cre]
Maintainer: Mark McAvoy <mcavoy@brandeis.edu>
Repository: CRAN
Date/Publication: 2020-05-13 14:50:10 UTC

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New package FSK2R with initial version 0.1.1
Package: FSK2R
Type: Package
Title: An Interface Between the 'FSK-ML' Standard and 'R'
Version: 0.1.1
Authors@R: c(person("Alberto", "Garre", email = "garre.alberto@gmail.com", role = c("aut", "cre")), person("Miguel", "de Alba Aparicio", email = "Miguel.de-Alba-Aparicio@bfr.bund.de", role = "aut"), person("Pablo S.", "Fernandez", email = "pablo.fernandez@upct.es", role = "aut"), person("Matthias", "Filter", email = "Matthias.Filter@bfr.bund.de", role = "aut") )
Description: Functions for importing, creating, editing and exporting 'FSK' files <https://foodrisklabs.bfr.bund.de/fsk-ml-food-safety-knowledge-markup-language/> using the 'R' programming environment. Furthermore, it enables users to run simulations contained in the 'FSK' files and visualize the results.
License: GPL-3
Encoding: UTF-8
Imports: XML (>= 3.98), purrr (>= 0.2.4), dplyr (>= 0.7.8), tibble (>= 2.0.0), tidyr (>= 0.7.2), rlang (>= 0.3.0.1), googlesheets (>= 0.3.0), stringr (>= 1.4.0), readxl (>= 1.3.1), readtext (>= 0.7.1), zip (>= 2.0.4), xml2 (>= 1.2.0), rjson (>= 0.2.20), shiny (>= 1.3.2), tools (>= 3.5.3), utils (>= 3.5.3), R.utils (>= 2.9.0)
Suggests: knitr (>= 1.9), rmarkdown (>= 1.12), testthat
VignetteBuilder: knitr
LazyData: true
RoxygenNote: 7.1.0
NeedsCompilation: no
Packaged: 2020-05-11 12:26:02 UTC; alberto
Author: Alberto Garre [aut, cre], Miguel de Alba Aparicio [aut], Pablo S. Fernandez [aut], Matthias Filter [aut]
Maintainer: Alberto Garre <garre.alberto@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-13 15:00:02 UTC

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Package tidyLPA updated to version 1.0.7 with previous version 1.0.6 dated 2020-03-19

Title: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Description: An interface to the 'mclust' package to easily carry out latent profile analysis ("LPA"). Provides functionality to estimate commonly-specified models. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Also has functions to interface to the commercial 'MPlus' software via the 'MplusAutomation' package.
Author: Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb]
Maintainer: Joshua M Rosenberg <jmichaelrosenberg@gmail.com>

Diff between tidyLPA versions 1.0.6 dated 2020-03-19 and 1.0.7 dated 2020-05-13

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Package sharpeRratio updated to version 1.4 with previous version 1.3 dated 2020-02-12

Title: Moment-Free Estimation of Sharpe Ratios
Description: An efficient moment-free estimator of the Sharpe ratio, or signal-to-noise ratio, for heavy-tailed data (see <arXiv:1505.01333>).
Author: Damien Challet
Maintainer: Damien Challet <damien.challet@gmail.com>

Diff between sharpeRratio versions 1.3 dated 2020-02-12 and 1.4 dated 2020-05-13

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Package vegdata updated to version 0.9.8 with previous version 0.9.7 dated 2019-11-05

Title: Access Vegetation Databases and Treat Taxonomy
Description: Handling of vegetation data from different sources ( Turboveg <http://www.synbiosys.alterra.nl/turboveg/>; the German national repository <http://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the German taxonomic standard list "GermanSL", <http://germansl.infinitenature.org>).
Author: Florian Jansen <florian.jansen@uni-rostock.de>
Maintainer: Florian Jansen <florian.jansen@uni-rostock.de>

Diff between vegdata versions 0.9.7 dated 2019-11-05 and 0.9.8 dated 2020-05-13

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Package tram updated to version 0.4-0 with previous version 0.3-2 dated 2020-01-12

Title: Transformation Models
Description: Formula-based user-interfaces to specific transformation models implemented in package 'mlt'. Available models include Cox models, some parametric survival models (Weibull, etc.), models for ordered categorical variables, normal and non-normal (Box-Cox type) linear models, and continuous outcome logistic regression (Lohse et al., 2017, <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to transformation models for clustered data is provided (Hothorn, 2019, <arxiv:1910.09219>).
Author: Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Brian Ripley [ctb], Bill Venables [ctb], Douglas M. Bates [ctb]
Maintainer: Torsten Hothorn <Torsten.Hothorn@R-project.org>

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Package bmixture updated to version 1.5 with previous version 1.4 dated 2019-09-11

Title: Bayesian Estimation for Finite Mixture of Distributions
Description: Provides statistical tools for Bayesian estimation of finite mixture of distributions, mainly mixture of Gamma, Normal and t-distributions. The package is implemented the Bayesian literature for the finite mixture of distributions, including Mohammadi and et al. (2013) <doi:10.1007/s00180-012-0323-3> and Mohammadi and Salehi-Rad (2012) <doi:10.1080/03610918.2011.588358>.
Author: Reza Mohammadi [aut, cre, cph] (<https://orcid.org/0000-0001-9538-0648>)
Maintainer: Reza Mohammadi <a.mohammadi@uva.nl>

Diff between bmixture versions 1.4 dated 2019-09-11 and 1.5 dated 2020-05-13

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Package NSO1212 updated to version 1.1.0 with previous version 1.0.0 dated 2019-02-05

Title: National Statistical Office of Mongolia's Open Data API Handler
Description: National Statistical Office of Mongolia (NSO) is the national statistical service and an organization of Mongolian government. NSO provides open access and official data via its web site <http://www.1212.mn/> and API <http://opendata.1212.mn/en/doc>. The package NSO1212 has functions for accessing the API service. The functions are compatible with the API v2.0 and get data sets and its detailed informations from the API.
Author: Makhgal Ganbold [aut, cre]
Maintainer: Makhgal Ganbold <makhgal@seas.num.edu.mn>

Diff between NSO1212 versions 1.0.0 dated 2019-02-05 and 1.1.0 dated 2020-05-13

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Package difR updated to version 5.1 with previous version 5.0 dated 2018-05-14

Title: Collection of Methods to Detect Dichotomous Differential Item Functioning (DIF)
Description: Provides a collection of standard methods to detect differential item functioning among dichotomously scored items. Methods for uniform and non-uniform DIF, based on test-score or IRT methods, for comparing two or more than two groups of respondents, are available (Magis, Beland, Tuerlinckx and De Boeck,A General Framework and an R Package for the Detection of Dichotomous Differential Item Functioning, Behavior Research Methods, 42, 2010, 847-862 <doi:10.3758/BRM.42.3.847>).
Author: David Magis (U Liege), Sebastien Beland (U Montreal) and Gilles Raiche (UQAM)
Maintainer: David Magis <david.magis@gmail.com>

Diff between difR versions 5.0 dated 2018-05-14 and 5.1 dated 2020-05-13

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 difR-5.1/difR/NEWS                |   10 ++++++++++
 difR-5.1/difR/R/LRT.R             |    4 ++--
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More information about difR at CRAN
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Package piecepackr updated to version 1.3.1 with previous version 1.2.1 dated 2020-01-09

Title: Board Game Graphics
Description: Functions to make board game graphics. By default makes game diagrams, animations, and "Print & Play" layouts for the 'piecepack' <http://www.ludism.org/ppwiki> but can be configured to make graphics for other board game systems.
Author: Trevor L Davis [aut, cre]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>

Diff between piecepackr versions 1.2.1 dated 2020-01-09 and 1.3.1 dated 2020-05-13

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 piecepackr-1.3.1/piecepackr/DESCRIPTION                                                              |   17 
 piecepackr-1.3.1/piecepackr/MD5                                                                      |  145 ++-
 piecepackr-1.3.1/piecepackr/NAMESPACE                                                                |    9 
 piecepackr-1.3.1/piecepackr/NEWS.md                                                                  |   80 ++
 piecepackr-1.3.1/piecepackr/R/basicPieceGrobs.R                                                      |    6 
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 piecepackr-1.3.1/piecepackr/R/grob_fn_helpers.R                                                      |   62 -
 piecepackr-1.3.1/piecepackr/R/make_images.R                                                          |   31 
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 piecepackr-1.3.1/piecepackr/R/write_obj.R                                                            |only
 piecepackr-1.3.1/piecepackr/README.md                                                                |  196 ++++-
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 piecepackr-1.3.1/piecepackr/man/game_systems.Rd                                                      |   91 ++
 piecepackr-1.3.1/piecepackr/man/grid.piece.Rd                                                        |   96 +-
 piecepackr-1.3.1/piecepackr/man/grid_shape_grobs.Rd                                                  |    6 
 piecepackr-1.3.1/piecepackr/man/op_transform.Rd                                                      |   15 
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 piecepackr-1.3.1/piecepackr/man/piece3d.Rd                                                           |only
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 piecepackr-1.3.1/piecepackr/man/pp_cfg.Rd                                                            |   50 +
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More information about piecepackr at CRAN
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New package immunarch with initial version 0.6.4
Package: immunarch
Type: Package
Title: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires
Version: 0.6.4
Authors@R: c( person("Vadim I.", "Nazarov", , "vdm.nazarov@gmail.com", c("aut", "cre")), person("Vasily O.", "Tsvetkov", , role = "aut"), person("Eugene", "Rumynskiy", , role = "aut"), person("Anna", "Lorenc", , role = "aut"), person("Daniel J.", "Moore", , role = "aut"), person("Victor", "Greiff", , role = "aut"), person("ImmunoMind", role = c("cph", "fnd")) )
Contact: support@immunomind.io
Description: A comprehensive framework for bioinformatics analysis of bulk and single-cell T-cell receptor and antibody repertoires. It provides seamless data loading, analysis and visualisation for AIRR (Adaptive Immune Receptor Repertoire) data, both bulk immunosequencing (RepSeq) and single-cell sequencing (scRNAseq). It implements most of the widely used AIRR analysis methods, such as: clonality analysis, estimation of repertoire similarities in distribution of clonotypes and gene segments, repertoire diversity analysis, annotation of clonotypes using external immune receptor databases and clonotype tracking in vaccination and cancer studies. A successor to our previously published 'tcR' immunoinformatics package (Nazarov 2015) <doi:10.1186/s12859-015-0613-1>.
License: AGPL-3
URL: https://immunarch.com/, https://github.com/immunomind/immunarch
BugReports: https://github.com/immunomind/immunarch/issues
Imports: pheatmap (>= 1.0.12), ggrepel (>= 0.8.0), reshape2 (>= 1.4.2), factoextra (>= 1.0.4), fpc, circlize, MASS (>= 7.3), Rtsne (>= 0.15), readr (>= 1.3.1), readxl (>= 1.3.1), shiny (>= 1.4.0), shinythemes, treemap, airr, ggseqlogo, UpSetR (>= 1.4.0), stringr (>= 1.4.0), ggalluvial (>= 0.10.0), Rcpp (>= 1.0), magrittr, tibble (>= 2.0), methods, scales, ggpubr (>= 0.2), rlang (>= 0.4), plyr, dbplyr (>= 1.4.0)
Depends: R (>= 3.5.0), ggplot2 (>= 3.1.0), dplyr (>= 0.8.0), dtplyr (>= 1.0.0), data.table (>= 1.12.6), gridExtra (>= 2.2.1)
LinkingTo: Rcpp
Suggests: knitr (>= 1.8), roxygen2 (>= 3.0.0), testthat (>= 2.1.0), pkgdown (>= 0.1.0), assertthat
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.1.0
LazyData: true
NeedsCompilation: yes
Packaged: 2020-05-10 23:13:39 UTC; vdn
Author: Vadim I. Nazarov [aut, cre], Vasily O. Tsvetkov [aut], Eugene Rumynskiy [aut], Anna Lorenc [aut], Daniel J. Moore [aut], Victor Greiff [aut], ImmunoMind [cph, fnd]
Maintainer: Vadim I. Nazarov <vdm.nazarov@gmail.com>
Repository: CRAN
Date/Publication: 2020-05-13 08:00:02 UTC

More information about immunarch at CRAN
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Package aSPU updated to version 1.49 with previous version 1.48 dated 2017-06-24

Title: Adaptive Sum of Powered Score Test
Description: R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests, inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests and gene-based and some pathway based association tests (Pathway based Sum of Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test, 'GEEaSPU' test for multiple traits - single 'SNP' (single nucleotide polymorphism) association in generalized estimation equations, 'MTaSPUs' test for multiple traits - single 'SNP' association with Genome Wide Association Studies ('GWAS') summary statistics, Gene-based Association Test that uses an extended 'Simes' procedure ('GATES'), Hybrid Set-based Test ('HYST') and extended version of 'GATES' test for pathway-based association testing ('GATES-Simes'). ). The tests can be used with genetic and other data sets with covariates. The response variable is binary or quantitative. Summary; (1) Single trait-'SNP' set association with individual-level data ('aSPU', 'aSPUw', 'aSPUr'), (2) Single trait-'SNP' set association with summary statistics ('aSPUs'), (3) Single trait-pathway association with individual-level data ('aSPUpath'), (4) Single trait-pathway association with summary statistics ('aSPUsPath'), (5) Multiple traits-single 'SNP' association with individual-level data ('GEEaSPU'), (6) Multiple traits- single 'SNP' association with summary statistics ('MTaSPUs'), (7) Multiple traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8) Multiple traits-pathway association with summary statistics('MTaSPUsSetPath').
Author: Il-Youp Kwak and others (See Author(s) in each function manual)
Maintainer: Il-Youp Kwak <ikwak2@cau.ac.kr>

Diff between aSPU versions 1.48 dated 2017-06-24 and 1.49 dated 2020-05-13

 DESCRIPTION              |   14 
 MD5                      |   94 ++---
 NAMESPACE                |   37 +-
 R/GATES2.R               |    2 
 R/GEEaSPU.R              |    1 
 R/GatesSimes.R           |    2 
 R/Hyst.R                 |    2 
 R/MTaSPUs.R              |    2 
 R/MTaSPUsSet.R           |    2 
 R/MTaSPUsSetPath.R       |    2 
 R/MTaSPUsSetScore.R      |    2 
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 R/aSPUd.R                |    2 
 R/aSPUpath.r             |    4 
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 R/aSPUr.R                |    2 
 R/aSPUs.R                |    2 
 R/aSPUsD.R               |    4 
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 R/aSPUsPath2.r           |    2 
 R/aSPUw.R                |    2 
 R/estcov.R               |    2 
 R/getlogitp.R            |    2 
 R/minP.R                 |    2 
 R/plotPmat.r             |    2 
 R/pruningSNP.R           |    2 
 R/simPathAR1SNP.R        |    4 
 README.md                |   16 
 build/vignette.rds       |binary
 inst/doc/MTaSPUsSet.R    |   30 -
 inst/doc/MTaSPUsSet.html |  705 ++++++++++++++++++++-------------------
 inst/doc/aSPUstat.R      |   20 -
 inst/doc/aSPUstat.html   |  845 ++++++++++++++++++++++++-----------------------
 man/GEEaSPU.Rd           |   11 
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Package sfheaders updated to version 0.2.2 with previous version 0.2.1 dated 2020-03-19

Title: Converts Between R Objects and Simple Feature Objects
Description: Converts between R and Simple Feature 'sf' objects, without depending on the Simple Feature library. Conversion functions are available at both the R level, and through 'Rcpp'.
Author: David Cooley [aut, cre], Michael Sumner [ctb]
Maintainer: David Cooley <david.cooley.au@gmail.com>

Diff between sfheaders versions 0.2.1 dated 2020-03-19 and 0.2.2 dated 2020-05-13

 DESCRIPTION                                                         |   16 
 MD5                                                                 |  212 ++---
 NAMESPACE                                                           |   10 
 NEWS.md                                                             |   14 
 R/RcppExports.R                                                     |  160 ++--
 R/df.R                                                              |   28 
 R/scratch.R                                                         |only
 R/sf.R                                                              |  211 ++++-
 R/sf_helpers.R                                                      |only
 R/sfc.R                                                             |   59 +
 R/sfg.R                                                             |   12 
 R/utils.R                                                           |   21 
 README.md                                                           |    7 
 inst/include/sfheaders/cast/sfc.hpp                                 |   19 
 inst/include/sfheaders/cast/sfg.hpp                                 |  198 ++--
 inst/include/sfheaders/df/sf.hpp                                    |   85 +-
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 inst/include/sfheaders/df/sfg.hpp                                   |    2 
 inst/include/sfheaders/df/utils.hpp                                 |    8 
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 inst/include/sfheaders/sf/multilinestring/sf_multilinestring.hpp    |  122 ++-
 inst/include/sfheaders/sf/multipoint/sf_multipoint.hpp              |  106 +-
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 inst/include/sfheaders/sf/point/sf_point.hpp                        |   90 +-
 inst/include/sfheaders/sf/polygon/sf_polygon.hpp                    |  101 +-
 inst/include/sfheaders/sf/sf.hpp                                    |  182 ++++
 inst/include/sfheaders/sf/sf_utils.hpp                              |   59 +
 inst/include/sfheaders/sfc/linestring/sfc_linestring.hpp            |  247 +++---
 inst/include/sfheaders/sfc/linestring/sfc_linestrings.hpp           |    4 
 inst/include/sfheaders/sfc/m_range.hpp                              |  141 ++-
 inst/include/sfheaders/sfc/multilinestring/sfc_multilinestring.hpp  |  249 +++---
 inst/include/sfheaders/sfc/multilinestring/sfc_multilinestrings.hpp |    4 
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 inst/include/sfheaders/sfc/multipoint/sfc_multipoints.hpp           |    4 
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 inst/include/sfheaders/sfc/multipolygon/sfc_multipolygons.hpp       |    4 
 inst/include/sfheaders/sfc/point/sfc_point.hpp                      |  113 +-
 inst/include/sfheaders/sfc/point/sfc_points.hpp                     |    4 
 inst/include/sfheaders/sfc/polygon/sfc_polygon.hpp                  |  184 ++--
 inst/include/sfheaders/sfc/polygon/sfc_polygons.hpp                 |    4 
 inst/include/sfheaders/sfc/sfc.hpp                                  |   28 
 inst/include/sfheaders/sfc/sfc_attributes.hpp                       |   58 +
 inst/include/sfheaders/sfc/sfc_types.hpp                            |   11 
 inst/include/sfheaders/sfc/zm_range.hpp                             |  220 +++--
 inst/include/sfheaders/sfg/linestring/sfg_linestring.hpp            |   95 +-
 inst/include/sfheaders/sfg/linestring/sfg_linestrings.hpp           |    4 
 inst/include/sfheaders/sfg/multilinestring/sfg_multilinestring.hpp  |  177 ++--
 inst/include/sfheaders/sfg/multilinestring/sfg_multilinestrings.hpp |    4 
 inst/include/sfheaders/sfg/multipoint/sfg_multipoint.hpp            |   99 +-
 inst/include/sfheaders/sfg/multipoint/sfg_multipoints.hpp           |    4 
 inst/include/sfheaders/sfg/multipolygon/sfg_multipolygon.hpp        |  152 ++-
 inst/include/sfheaders/sfg/multipolygon/sfg_multipolygons.hpp       |    4 
 inst/include/sfheaders/sfg/point/sfg_point.hpp                      |  103 +-
 inst/include/sfheaders/sfg/point/sfg_points.hpp                     |    8 
 inst/include/sfheaders/sfg/polygon/sfg_polygon.hpp                  |  141 ++-
 inst/include/sfheaders/sfg/polygon/sfg_polygons.hpp                 |    4 
 inst/include/sfheaders/sfg/sfg.hpp                                  |   28 
 inst/include/sfheaders/sfg/sfg_dimension.hpp                        |   56 -
 inst/include/sfheaders/sfg/sfg_types.hpp                            |   30 
 inst/include/sfheaders/utils/lists                                  |only
 inst/include/sfheaders/utils/sexp/sexp.hpp                          |    8 
 inst/include/sfheaders/utils/utils.hpp                              |   21 
 inst/include/sfheaders/utils/vectors/vectors.hpp                    |   63 +
 man/sf_boxes.Rd                                                     |only
 man/sf_line.Rd                                                      |only
 man/sf_linestring.Rd                                                |   21 
 man/sf_mline.Rd                                                     |only
 man/sf_mpoly.Rd                                                     |only
 man/sf_mpt.Rd                                                       |only
 man/sf_multilinestring.Rd                                           |   11 
 man/sf_multipoint.Rd                                                |   11 
 man/sf_multipolygon.Rd                                              |   11 
 man/sf_point.Rd                                                     |    6 
 man/sf_poly.Rd                                                      |only
 man/sf_polygon.Rd                                                   |   46 +
 man/sf_pt.Rd                                                        |only
 man/sf_remove_holes.Rd                                              |    2 
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Package RCT updated to version 1.0.2 with previous version 1.0.0 dated 2020-04-03

Title: Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments
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 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>.
Author: Isidoro Garcia-Urquieta [aut, cre]
Maintainer: Isidoro Garcia-Urquieta <isidoro.gu@gmail.com>

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Package coronavirus updated to version 0.2.0 with previous version 0.1.0 dated 2020-02-23

Title: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset
Description: Provides a daily summary of the Coronavirus (COVID-19) cases by state/province. Data source: Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) Coronavirus <https://systems.jhu.edu/research/public-health/ncov/>.
Author: Rami Krispin [aut, cre]
Maintainer: Rami Krispin <rami.krispin@gmail.com>

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Package unjoin updated to version 0.1.0 with previous version 0.0.4 dated 2020-03-21

Title: Separate a Data Frame by Normalization
Description: Separate a data frame in two based on key columns. The function unjoin() provides an inside-out version of a nested data frame. This is used to identify duplication and normalize it (in the database sense) by linking two tables with the redundancy removed. This is a basic requirement for detecting topology within spatial structures that has motivated the need for this package as a building block for workflows within more applied projects.
Author: Michael D. Sumner [aut, cre], Simon Wotherspoon [ctb], Hadley Wickham [ctb] (named the concept, provided excellent guidance via tidyr source code)
Maintainer: Michael D. Sumner <mdsumner@gmail.com>

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Package tigger updated to version 1.0.0 with previous version 0.4.0 dated 2019-07-19

Title: Infers Novel Immunoglobulin Alleles from Sequencing Data
Description: Infers the V genotype of an individual from immunoglobulin (Ig) repertoire sequencing data (AIRR-Seq, Rep-Seq). Includes detection of any novel alleles. This information is then used to correct existing V allele calls from among the sample sequences. Citations: Gadala-Maria, et al (2015) <doi:10.1073/pnas.1417683112>. Gadala-Maria, et al (2019) <doi:10.3389/fimmu.2019.00129>.
Author: Daniel Gadala-Maria [aut], Susanna Marquez [aut], Moriah Cohen [aut], Jason Vander Heiden [aut, cre], Gur Yaari [aut], Steven Kleinstein [aut, cph]
Maintainer: Jason Vander Heiden <jason.vanderheiden@gmail.com>

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Package RobGARCHBoot updated to version 1.0.1 with previous version 1.0.0 dated 2019-11-04

Title: Robust Bootstrap Forecast Densities for GARCH Models
Description: Bootstrap forecast densities for GARCH (Generalized Autoregressive Conditional Heteroskedastic) returns and volatilities using the robust residual-based bootstrap procedure of Trucios, Hotta and Ruiz (2017) <DOI:10.1080/00949655.2017.1359601>.
Author: Carlos Trucios
Maintainer: Carlos Trucios <ctrucios@gmail.com>

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Package dbflobr updated to version 0.1.0 with previous version 0.0.1 dated 2019-08-24

Title: Read and Write Files to SQLite Databases
Description: Reads and writes files to SQLite databases <https://www.sqlite.org/index.html> as flobs (a flob is a blob that preserves the file extension).
Author: Sebastian Dalgarno [aut, cre] (<https://orcid.org/0000-0002-3658-4517>), Joe Thorley [aut] (<https://orcid.org/0000-0002-7683-4592>), Poisson Consulting [cph, fnd]
Maintainer: Sebastian Dalgarno <seb@poissonconsulting.ca>

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