Sun, 12 May 2024

Package TNRS updated to version 0.3.6 with previous version 0.3.5 dated 2024-03-05

Title: Taxonomic Name Resolution Service
Description: Provides access to the Taxonomic Name Resolution Service <https://github.com/ojalaquellueva/tnrsapi> through R. The user supplies plant taxonomic names and the package returns resolved taxonomic names along with information on decisions. Optionally, the package can also be used to parse taxonomic names.
Author: Brian Maitner [aut, cre] , Brad Boyle [aut], Paul Efren [ctb]
Maintainer: Brian Maitner <bmaitner@gmail.com>

Diff between TNRS versions 0.3.5 dated 2024-03-05 and 0.3.6 dated 2024-05-12

 DESCRIPTION                              |    6 +--
 MD5                                      |   48 ++++++++++++++++---------------
 NAMESPACE                                |    1 
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 27 files changed, 88 insertions(+), 71 deletions(-)

More information about TNRS at CRAN
Permanent link

Package LMMstar updated to version 1.1.0 with previous version 1.0.1 dated 2024-01-11

Title: Repeated Measurement Models for Discrete Times
Description: Companion R package for the course "Statistical analysis of correlated and repeated measurements for health science researchers" taught by the section of Biostatistics of the University of Copenhagen. It implements linear mixed models where the model for the variance-covariance of the residuals is specified via patterns (compound symmetry, toeplitz, unstructured, ...). Statistical inference for mean, variance, and correlation parameters is performed based on the observed information and a Satterthwaite approximation of the degrees of freedom. Normalized residuals are provided to assess model misspecification. Statistical inference can be performed for arbitrary linear or non-linear combination(s) of model coefficients. Predictions can be computed conditional to covariates only or also to outcome values.
Author: Brice Ozenne [aut, cre] , Julie Forman [aut]
Maintainer: Brice Ozenne <brice.mh.ozenne@gmail.com>

Diff between LMMstar versions 1.0.1 dated 2024-01-11 and 1.1.0 dated 2024-05-12

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More information about LMMstar at CRAN
Permanent link

Package DRIP updated to version 2.0 with previous version 1.9 dated 2024-02-05

Title: Discontinuous Regression and Image Processing
Description: A collection of functions that perform jump regression and image analysis such as denoising, deblurring and jump detection. The implemented methods are based on the following research: Qiu, P. (1998) <doi:10.1214/aos/1024691468>, Qiu, P. and Yandell, B. (1997) <doi: 10.1080/10618600.1997.10474746>, Qiu, P. (2009) <doi: 10.1007/s10463-007-0166-9>, Kang, Y. and Qiu, P. (2014) <doi: 10.1080/00401706.2013.844732>, Qiu, P. and Kang, Y. (2015) <doi: 10.5705/ss.2014.054>, Kang, Y., Mukherjee, P.S. and Qiu, P. (2018) <doi: 10.1080/00401706.2017.1415975>, Kang, Y. (2020) <doi: 10.1080/10618600.2019.1665536>.
Author: Yicheng Kang [aut, cre], Peihua Qiu [aut, ctb]
Maintainer: Yicheng Kang <kangyicheng0527@gmail.com>

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New package bshazard with initial version 1.2
Package: bshazard
Title: Nonparametric Smoothing of the Hazard Function
Version: 1.2
Date: 2024-05-10
Author: Paola Rebora,Agus Salim, Marie Reilly
Maintainer: Paola Rebora <paola.rebora@unimib.it>
Depends: R(>= 3.3.3),splines,survival,Epi
Description: The function estimates the hazard function non parametrically from a survival object (possibly adjusted for covariates). The smoothed estimate is based on B-splines from the perspective of generalized linear mixed models. Left truncated and right censoring data are allowed. The package is based on the work in Rebora P (2014) <doi:10.32614/RJ-2014-028>.
License: GPL-2
NeedsCompilation: no
Packaged: 2024-05-12 17:22:08 UTC; paola.rebora
Repository: CRAN
Date/Publication: 2024-05-12 21:03:32 UTC

More information about bshazard at CRAN
Permanent link

Package glmnetr updated to version 0.5-1 with previous version 0.4-6 dated 2024-04-21

Title: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description: Cross validation informed Relaxed LASSO, Artificial Neural Network (ANN), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Recursive Partitioning ('RPART') or step wise regression models are fit. Nested cross validation (or analogous for the random forest) is used to estimate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (nested) cross validation. For some datasets, for example when the design matrix is not of full rank, 'glmnet' may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied with the 'path=TRUE' options when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by defau [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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Package insight updated to version 0.19.11 with previous version 0.19.10 dated 2024-03-22

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 Luedecke [aut, cre] , Dominique Makowski [aut, ctb] , Indrajeet Patil [aut, ctb] , Philip Waggoner [aut, ctb] , Mattan S. Ben-Shachar [aut, ctb] , Brenton M. Wiernik [aut, ctb] , Vincent Arel-Bundock [aut, ctb] , Etienne Bacher [aut, ctb] , Ale [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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Package estimability updated to version 1.5.1 with previous version 1.5 dated 2024-02-20

Title: Tools for Assessing Estimability of Linear Predictions
Description: Provides tools for determining estimability of linear functions of regression coefficients, and 'epredict' methods that handle non-estimable cases correctly. Estimability theory is discussed in many linear-models textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear Models", Chapman and Hall (ISBN 978-1-4200-6201-4).
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>

Diff between estimability versions 1.5 dated 2024-02-20 and 1.5.1 dated 2024-05-12

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Permanent link

Package NNS updated to version 10.8.2 with previous version 10.8.1 dated 2024-05-11

Title: Nonlinear Nonparametric Statistics
Description: Nonlinear nonparametric statistics using partial moments. Partial moments are the elements of variance and asymptotically approximate the area of f(x). These robust statistics provide the basis for nonlinear analysis while retaining linear equivalences. NNS offers: Numerical integration, Numerical differentiation, Clustering, Correlation, Dependence, Causal analysis, ANOVA, Regression, Classification, Seasonality, Autoregressive modeling, Normalization, Stochastic dominance and Advanced Monte Carlo sampling. All routines based on: Viole, F. and Nawrocki, D. (2013), Nonlinear Nonparametric Statistics: Using Partial Moments (ISBN: 1490523995).
Author: Fred Viole [aut, cre], Roberto Spadim [ctb]
Maintainer: Fred Viole <ovvo.financial.systems@gmail.com>

Diff between NNS versions 10.8.1 dated 2024-05-11 and 10.8.2 dated 2024-05-12

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Package effectsize updated to version 0.8.8 with previous version 0.8.7 dated 2024-04-01

Title: Indices of Effect Size
Description: Provide utilities to work with indices of effect size for a wide variety of models and hypothesis tests (see list of supported models using the function 'insight::supported_models()'), allowing computation of and conversion between indices such as Cohen's d, r, odds, etc. References: Ben-Shachar et al. (2020) <doi:10.21105/joss.02815>.
Author: Mattan S. Ben-Shachar [aut, cre] , Dominique Makowski [aut] , Daniel Luedecke [aut] , Indrajeet Patil [aut] , Brenton M. Wiernik [aut] , Remi Theriault [aut] , Ken Kelley [ctb], David Stanley [ctb], Aaron Caldwell [ctb] , Jessica Burnett [rev] , Johan [...truncated...]
Maintainer: Mattan S. Ben-Shachar <mattansb@msbstats.info>

Diff between effectsize versions 0.8.7 dated 2024-04-01 and 0.8.8 dated 2024-05-12

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Package tidyqwi (with last version 0.1.2) was removed from CRAN

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

2020-05-04 0.1.2
2019-06-19 0.1.1
2019-03-06 0.1.0

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Package baRulho (with last version 2.1.0) was removed from CRAN

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

2024-04-21 2.1.0
2022-03-01 1.0.6

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Package Euronext (with last version 2.0.2) was removed from CRAN

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

2024-02-19 2.0.2
2024-02-17 2.0.1

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Package srcr updated to version 1.1.1 with previous version 1.1.0 dated 2021-10-30

Title: Simplify Connections to Database Sources
Description: Connecting to databases requires boilerplate code to specify connection parameters and to set up sessions properly with the DBMS. This package provides a simple tool to fill two purposes: abstracting connection details, including secret credentials, out of your source code and managing configuration for frequently-used database connections in a persistent and flexible way, while minimizing requirements on the runtime environment.
Author: Charles Bailey [aut, cre], Hanieh Razzaghi [aut]
Maintainer: Charles Bailey <baileyc@chop.edu>

Diff between srcr versions 1.1.0 dated 2021-10-30 and 1.1.1 dated 2024-05-12

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Package options updated to version 0.2.0 with previous version 0.1.0 dated 2024-01-29

Title: Simple, Consistent Package Options
Description: Simple mechanisms for defining and interpreting package options. Provides helpers for interpreting environment variables, global options, defining default values and more.
Author: Doug Kelkhoff [aut, cre]
Maintainer: Doug Kelkhoff <doug.kelkhoff@gmail.com>

Diff between options versions 0.1.0 dated 2024-01-29 and 0.2.0 dated 2024-05-12

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 20 files changed, 356 insertions(+), 105 deletions(-)

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