Thu, 12 May 2022

Package pcoxtime updated to version 1.0.4 with previous version 1.0.3 dated 2021-11-13

Title: Penalized Cox Proportional Hazard Model for Time-Dependent Covariates
Description: Fits penalized models for both time-independent and time-dependent survival data. It fully implements elastic net and uses proximal gradient descent to solve the optimization problem. The package is an implementation of Steve Cygu and Benjamin M. Bolker. (2021) <arXiv:2102.02297>.
Author: Bicko Cygu [aut, cre] , Ben Bolker [aut] , Trevor Hastie [cph]
Maintainer: Bicko Cygu <cygubicko@gmail.com>

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Package stacks updated to version 0.2.3 with previous version 0.2.2 dated 2022-01-05

Title: Tidy Model Stacking
Description: Model stacking is an ensemble technique that involves training a model to combine the outputs of many diverse statistical models, and has been shown to improve predictive performance in a variety of settings. 'stacks' implements a grammar for 'tidymodels'-aligned model stacking.
Author: Simon Couch [aut, cre], Max Kuhn [aut], RStudio [cph, fnd]
Maintainer: Simon Couch <simonpatrickcouch@gmail.com>

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Package molaR updated to version 5.0 with previous version 4.5 dated 2020-03-03

Title: Dental Surface Complexity Measurement Tools
Description: Surface topography calculations of Dirichlet's normal energy, relief index, surface slope, and orientation patch count for teeth using scans of enamel caps. Importantly, for the relief index and orientation patch count calculations to work, the scanned tooth files must be oriented with the occlusal plane parallel to the x and y axes, and perpendicular to the z axis. The files should also be simplified, and smoothed in some other software prior to uploading into R.
Author: James D. Pampush [aut, cre, cph], Paul E. Morse [aut, cph], Alexander Q. Vining [aut, cph], Edward Fuselier [aut, cph]
Maintainer: James D. Pampush <jdpampush@gmail.com>

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Package FIESTAutils updated to version 1.1.1 with previous version 1.1.0 dated 2022-04-28

Title: Utility Functions for Forest Inventory Estimation and Analysis
Description: A set of tools for data wrangling, spatial data analysis, statistical modeling (including direct, model-assisted, photo-based, and small area tools), and USDA Forest Service data base tools. These tools are aimed to help Foresters, Analysts, and Scientists extract and perform analyses on USDA Forest Service data.
Author: Tracey Frescino [aut], Chris Toney [aut], Grayson White [aut, cre]
Maintainer: Grayson White <graysonwhite13@gmail.com>

Diff between FIESTAutils versions 1.1.0 dated 2022-04-28 and 1.1.1 dated 2022-05-12

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Package declared updated to version 0.16 with previous version 0.15 dated 2022-04-13

Title: Functions to Declare Missing Values
Description: A set of functions to declare labels and missing values, coupled with associated functions to create (weighted) tables of frequencies and various other summary measures. Various base functions are rewritten to make use of the specific information about the missing values, most importantly to distinguish between empty and declared missing values. Many functions have a similar functionality with the corresponding functions from packages "haven" and "labelled". A lot of effort was spent to ensure as much compatibility as possible with these packages, with the intention to offer a complementary alternative for the objects of class "declared".
Author: Adrian Dusa [aut, cre, cph]
Maintainer: Adrian Dusa <dusa.adrian@unibuc.ro>

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New package subscreen with initial version 3.0.7
Package: subscreen
Title: Systematic Screening of Study Data for Subgroup Effects
Version: 3.0.7
Author: Bodo Kirsch, Steffen Jeske, Susanne Lippert, Thomas Schmelter, Christoph Muysers, Hermann Kulmann
Maintainer: Bodo Kirsch <bodo.kirsch@bayer.com>
Description: Identifying outcome relevant subgroups has now become as simple as possible! The formerly lengthy and tedious search for the needle in a haystack will be replaced by a single, comprehensive and coherent presentation. The central result of a subgroup screening is a diagram in which each single dot stands for a subgroup. The diagram may show thousands of them. The position of the dot in the diagram is determined by the sample size of the subgroup and the statistical measure of the treatment effect in that subgroup. The sample size is shown on the horizontal axis while the treatment effect is displayed on the vertical axis. Furthermore, the diagram shows the line of no effect and the overall study results. For small subgroups, which are found on the left side of the plot, larger random deviations from the mean study effect are expected, while for larger subgroups only small deviations from the study mean can be expected to be chance findings. So for a study with no conspicuous subgroup effects, the dots in the figure are expected to form a kind of funnel. Any deviations from this funnel shape hint to conspicuous subgroups. This approach was presented in Muysers (2020) <doi:10.1007/s43441-019-00082-6> and referenced in Ballarini (2020) <doi:10.1002/pst.2012>. New to version 3 is the Automatic Screening of one- or MUlti-factorial Subgroups (ASMUS) for documentation of the structured review of subgroup findings.
License: GPL-3
Encoding: UTF-8
Imports: utils, plyr, data.table, grDevices, graphics, shiny, DT, stats, shinyjs, bsplus, jsonlite, colourpicker, dplyr, ranger, purrr, shinyWidgets
Suggests: parallel, survival, knitr, rmarkdown
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2022-05-12 09:01:40 UTC; SGFPJ
Repository: CRAN
Date/Publication: 2022-05-12 22:00:03 UTC

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Package rvHPDT updated to version 4.0 with previous version 3.0 dated 2014-05-14

Title: Calling Haplotype-Based and Variant-Based Pedigree Disequilibrium Test for Rare Variants in Pedigrees
Description: To detecting rare variants for binary traits using general pedigrees, the pedigree disequilibrium tests are proposed by collapsing rare haplotypes/variants with/without weights. To run the test, MERLIN is needed in Linux for haplotyping.
Author: Wei Guo <wei.guo3@nih.gov>
Maintainer: Wei Guo <wei.guo3@nih.gov>

Diff between rvHPDT versions 3.0 dated 2014-05-14 and 4.0 dated 2022-05-12

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Package pheno updated to version 1.7-0 with previous version 1.6 dated 2012-10-23

Title: Auxiliary Functions for Phenological Data Analysis
Description: Provides some easy-to-use functions for time series analyses of (plant-) phenological data sets. These functions mainly deal with the estimation of combined phenological time series and are usually wrappers for functions that are already implemented in other R packages adapted to the special structure of phenological data and the needs of phenologists. Some date conversion functions to handle Julian dates are also provided.
Author: Joerg Schaber
Maintainer: Maximilian Lange <maximilian.lange@ufz.de>

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New package lba with initial version 2.4.5
Package: lba
Title: Latent Budget Analysis for Compositional Data
Version: 2.4.5
Date: 2022-05-12
Author: Enio G. Jelihovschi <eniojelihovs@gmail.com> and Ivan Bezerra Allaman <iballaman@uesc.br>
Maintainer: Ivan Bezerra Allaman <iballaman@uesc.br>
Depends: R (>= 3.1.0), MASS, alabama, plotrix, scatterplot3d, rgl
Description: Latent budget analysis is a method for the analysis of a two-way contingency table with an exploratory variable and a response variable. It is specially designed for compositional data.
Encoding: latin1
License: GPL (>= 2)
URL: https://github.com/ivanalaman/lba
NeedsCompilation: no
Packaged: 2022-05-12 18:40:21 UTC; ivana
Repository: CRAN
Date/Publication: 2022-05-12 21:20:02 UTC

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Package iml updated to version 0.11.0 with previous version 0.10.1 dated 2020-09-24

Title: Interpretable Machine Learning
Description: Interpretability methods to analyze the behavior and predictions of any machine learning model. Implemented methods are: Feature importance described by Fisher et al. (2018) <arXiv:1801.01489>, accumulated local effects plots described by Apley (2018) <arXiv:1612.08468>, partial dependence plots described by Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional expectation ('ice') plots described by Goldstein et al. (2013) <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime') described by Ribeiro et. al (2016) <arXiv:1602.04938>, the Shapley Value described by Strumbelj et. al (2014) <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman et. al <doi:10.1214/07-AOAS148> and tree surrogate models.
Author: Christoph Molnar [aut, cre], Patrick Schratz [aut]
Maintainer: Christoph Molnar <christoph.molnar@gmail.com>

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Package geosptdb updated to version 1.0-1 with previous version 1.0-0 dated 2022-05-12

Title: Spatio-Temporal Radial Basis Functions with Distance-Based Methods (Optimization, Prediction and Cross Validation)
Description: Spatio-temporal radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, Adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.
Author: Carlos Melo [aut, cre] , Oscar Melo [aut] , Sandra Melo [aut]
Maintainer: Carlos Melo <cmelo@udistrital.edu.co>

Diff between geosptdb versions 1.0-0 dated 2022-05-12 and 1.0-1 dated 2022-05-12

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Package COMIX updated to version 0.1.6 with previous version 0.1.4 dated 2022-05-10

Title: Coarsened Mixtures of Hierarchical Skew Kernels
Description: Bayesian fit of a Dirichlet Process Mixture with hierarchical multivariate skew normal kernels and coarsened posteriors. For more information, see Gorsky, Chan and Ma (2020) <arXiv:2001.06451>.
Author: S. Gorsky [aut, cre], C. Chan [ctb], L. Ma [ctb]
Maintainer: S. Gorsky <sgorsky@umass.edu>

Diff between COMIX versions 0.1.4 dated 2022-05-10 and 0.1.6 dated 2022-05-12

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Package rdnb updated to version 0.1-5 with previous version 0.1-4 dated 2021-04-18

Title: R Interface to the 'Deutsche Nationalbibliothek (German National Library) API'
Description: A wrapper for the 'Deutsche Nationalbibliothek (German National Library) API', available at <https://www.dnb.de/EN/Home/home_node.html>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945.
Author: Christian Graul [aut, cre]
Maintainer: Christian Graul <christian.graul@gmail.com>

Diff between rdnb versions 0.1-4 dated 2021-04-18 and 0.1-5 dated 2022-05-12

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Package distill updated to version 1.4 with previous version 1.3 dated 2021-10-13

Title: 'R Markdown' Format for Scientific and Technical Writing
Description: Scientific and technical article format for the web. 'Distill' articles feature attractive, reader-friendly typography, flexible layout options for visualizations, and full support for footnotes and citations.
Author: Christophe Dervieux [aut, cre] , JJ Allaire [aut] , Rich Iannone [aut], Alison Presmanes Hill [aut] , Yihui Xie [aut] , RStudio, PBC [cph, fnd], Google LLC [ctb, cph] , Nick Williams [ctb, cph] , Denis Demchenko [ctb, cph] , The Polymer Authors [ctb, [...truncated...]
Maintainer: Christophe Dervieux <cderv@rstudio.com>

Diff between distill versions 1.3 dated 2021-10-13 and 1.4 dated 2022-05-12

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Package BCE updated to version 2.2.0 with previous version 2.1 dated 2014-05-22

Title: Bayesian Composition Estimator: Estimating Sample (Taxonomic) Composition from Biomarker Data
Description: Function to estimate taxonomic compositions from biomarker data, using a Bayesian approach.
Author: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>, Karline Soetaert <karline.soetaert@nioz.nl>
Maintainer: Karel Van den Meersche <karel.van_den_meersche@cirad.fr>

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New package pbANOVA with initial version 0.1.0
Package: pbANOVA
Title: Parametric Bootstrap for ANOVA Models
Version: 0.1.0
Maintainer: Sarah Alver <salver@unm.edu>
Description: Parametric bootstrap (PB) has been used for three-way ANOVA model with unequal group variances.
License: GPL-2 | GPL-3
Imports: MASS, Rmisc, plyr, DescTools, lmtest,dplyr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-05-10 17:56:58 UTC; luyan
Author: Sarah Alver [aut, cre], Guoyi Zhang [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-05-12 19:10:02 UTC

More information about pbANOVA at CRAN
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New package mlr3fairness with initial version 0.3.0
Package: mlr3fairness
Title: Fairness Auditing and Debiasing for 'mlr3'
Version: 0.3.0
Description: Integrates fairness auditing and bias mitigation methods for the 'mlr3' ecosystem. This includes fairness metrics, reporting tools, visualizations and bias mitigation techniques such as "Reweighing" described in 'Kamiran, Calders' (2012) <doi:10.1007/s10115-011-0463-8> and "Equalized Odds" described in 'Hardt et al.' (2016) <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>. Integration with 'mlr3' allows for auditing of ML models as well as convenient joint tuning of machine learning algorithms and debiasing methods.
URL: https://mlr3fairness.mlr-org.com, https://github.com/mlr-org/mlr3fairness
BugReports: https://github.com/mlr-org/mlr3fairness/issues
License: LGPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), mlr3 (>= 0.13.0)
Imports: checkmate, R6 (>= 2.4.1), data.table (>= 1.13.6), paradox, mlr3measures, mlr3misc, mlr3pipelines, ggplot2
Suggests: mlr3viz, rmarkdown, knitr, rpart, testthat (>= 3.0.0), patchwork, ranger, mlr3learners, linprog, posterdown, kableExtra, fairml, iml
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-11 16:32:36 UTC; flo
Author: Florian Pfisterer [cre, aut] , Wei Siyi [aut], Michel Lang [aut]
Maintainer: Florian Pfisterer <pfistererf@googlemail.com>
Repository: CRAN
Date/Publication: 2022-05-12 19:30:02 UTC

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Package StereoMorph updated to version 1.6.5 with previous version 1.6.4 dated 2021-05-25

Title: Stereo Camera Calibration and Reconstruction
Description: Functions for the collection of 3D points and curves using a stereo camera setup.
Author: Aaron Olsen, Annat Haber
Maintainer: Aaron Olsen <aarolsen@gmail.com>

Diff between StereoMorph versions 1.6.4 dated 2021-05-25 and 1.6.5 dated 2022-05-12

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Package rTG updated to version 1.0.1 with previous version 1.0.0 dated 2022-02-19

Title: Methods to Analyse Seasonal Radial Tree Growth Data
Description: Methods for comparing different regression algorithms for describing the temporal dynamics of secondary tree growth (xylem and phloem). Users can compare the accuracy of the most common fitting methods usually used to analyse xylem and phloem data, i.e., Gompertz function and General Additive Models (GAMs); and an algorithm newly introduced to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core function of the package is XPSgrowth(), while the results can be interpreted using implemented generic S3 methods, such as plot() and summary().
Author: Jernej Jevsenak [aut, cre]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>

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Package CARBayesST updated to version 3.3 with previous version 3.2.3 dated 2022-04-26

Title: Spatio-Temporal Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, or Poisson, but for some models only the binomial and Poisson data likelihoods are available. The spatio-temporal autocorrelation is modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number of different random effects structures are available, including models similar to Rushworth et al. (2014) <doi:10.1016/j.sste.2014.05.001>. Full details are given in the vignette accompanying this package. The creation and development of this package was supported by the Engineering and Physical Sciences Research Council (EPSRC) grants EP/J017442/1 and EP/T004878/1 and the Medical Research Council (MRC) grant MR/L022184/1.
Author: Duncan Lee, Alastair Rushworth, Gary Napier and William Pettersson
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

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Package CARBayes updated to version 5.3 with previous version 5.2.5 dated 2021-09-30

Title: Spatial Generalised Linear Mixed Models for Areal Unit Data
Description: Implements a class of univariate and multivariate spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The response variable can be binomial, Gaussian, multinomial, Poisson or zero-inflated Poisson (ZIP), and spatial autocorrelation is modelled by a set of random effects that are assigned a conditional autoregressive (CAR) prior distribution. A number of different models are available for univariate spatial data, including models with no random effects as well as random effects modelled by different types of CAR prior, including the BYM model (Besag et al., 1991, <doi:10.1007/BF00116466>) and Leroux model (Leroux et al., 2000, <doi:10.1007/978-1-4612-1284-3_4>). Additionally, a multivariate CAR (MCAR) model for multivariate spatial data is available, as is a two-level hierarchical model for modelling data relating to individuals within areas. Full details are given in the vignette accompanying this package. The initial creation of this package was supported by the Economic and Social Research Council (ESRC) grant RES-000-22-4256, and on-going development has been supported by the Engineering and Physical Science Research Council (EPSRC) grant EP/J017442/1, ESRC grant ES/K006460/1, Innovate UK / Natural Environment Research Council (NERC) grant NE/N007352/1 and the TB Alliance.
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayes versions 5.2.5 dated 2021-09-30 and 5.3 dated 2022-05-12

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More information about CARBayes at CRAN
Permanent link

New package superml with initial version 0.5.4
Package: superml
Title: Build Machine Learning Models Like Using Python's Scikit-Learn Library in R
Version: 0.5.4
Maintainer: Manish Saraswat <manish06saraswat@gmail.com>
Description: The idea is to provide a standard interface to users who use both R and Python for building machine learning models. This package provides a scikit-learn's fit, predict interface to train machine learning models in R.
License: GPL-3 | file LICENSE
Encoding: UTF-8
LazyData: true
URL: https://github.com/saraswatmks/superml
BugReports: https://github.com/saraswatmks/superml/issues
Depends: R(>= 3.5), R6(>= 2.2)
Imports: data.table (>= 1.10), Rcpp (>= 1.0), assertthat (>= 0.2), Metrics (>= 0.1)
LinkingTo: Rcpp, BH, RcppArmadillo
Suggests: knitr, rlang, testthat, rmarkdown, naivebayes(>= 0.9), ClusterR(>= 1.1), FNN(>= 1.1), ranger(>= 0.10), caret(>= 6.0), xgboost(>= 0.6), glmnet(>= 2.0), e1071(>= 1.7)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-05-10 10:06:00 UTC; m.saraswat
Author: Manish Saraswat [aut, cre]
Repository: CRAN
Date/Publication: 2022-05-12 14:10:02 UTC

More information about superml at CRAN
Permanent link

Package PUPAIM updated to version 0.3.0 with previous version 0.2.0 dated 2020-03-23

Title: A Collection of Physical and Chemical Adsorption Isotherm Models
Description: The PUPAIM R package can generally fit any adsorption experimental data to any of the 51 available adsorption isotherm models - 28 nonlinear models and 23 linear models. This package provides parameter estimation, model accuracy analysis, model error analysis, and adsorption plot created using the package 'ggplot2'. This package will help the users for a much easier way of adsorption model data fitting.
Author: Keith T. Ostan [aut] , Paul Angelo C. Manlapaz [aut] , Jemnimah Christine L. Mesias [aut] , Chester C. Deocaris [aut, ths, cre]
Maintainer: Chester C. Deocaris <ccdeocaris@pup.edu.ph>

Diff between PUPAIM versions 0.2.0 dated 2020-03-23 and 0.3.0 dated 2022-05-12

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Package GenericML updated to version 0.2.1 with previous version 0.2.0 dated 2022-05-06

Title: Generic Machine Learning Inference
Description: Generic Machine Learning Inference on heterogeneous treatment effects in randomized experiments as proposed in Chernozhukov, Demirer, Duflo and Fernández-Val (2020) <arXiv:1712.04802>. This package's workhorse is the 'mlr3' framework of Lang et al. (2019) <doi:10.21105/joss.01903>, which enables the specification of a wide variety of machine learners. The main functionality, GenericML(), runs Algorithm 1 in Chernozhukov, Demirer, Duflo and Fernández-Val (2020) <arXiv:1712.04802> for a suite of user-specified machine learners. All steps in the algorithm are customizable via setup functions. Methods for printing and plotting are available for objects returned by GenericML(). Parallel computing is supported.
Author: Max Welz [aut, cre] , Andreas Alfons [aut] , Mert Demirer [aut], Victor Chernozhukov [aut]
Maintainer: Max Welz <welz@ese.eur.nl>

Diff between GenericML versions 0.2.0 dated 2022-05-06 and 0.2.1 dated 2022-05-12

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Package CARBayesdata updated to version 3.0 with previous version 2.2 dated 2020-08-26

Title: Data Used in the Vignettes Accompanying the CARBayes and CARBayesST Packages
Description: Spatio-temporal data from Scotland used in the vignettes accompanying the CARBayes (spatial modelling) and CARBayesST (spatio-temporal modelling) packages. Most of the data relate to the set of 271 Intermediate Zones (IZ) that make up the 2001 definition of the Greater Glasgow and Clyde health board.
Author: Duncan Lee
Maintainer: Duncan Lee <Duncan.Lee@glasgow.ac.uk>

Diff between CARBayesdata versions 2.2 dated 2020-08-26 and 3.0 dated 2022-05-12

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New package BCT with initial version 1.2
Package: BCT
Title: Bayesian Context Trees for Discrete Time Series
Version: 1.2
Date: 2022-11-05
Author: Ioannis Papageorgiou, Valentinian Mihai Lungu, Ioannis Kontoyiannis
Maintainer: Valentinian Mihai Lungu <valentinian.mihai@gmail.com>
Description: An implementation of a collection of tools for exact Bayesian inference with discrete times series. This package contains functions that can be used for prediction, model selection, estimation, segmentation/change-point detection and other statistical tasks. Specifically, the functions provided can be used for the exact computation of the prior predictive likelihood of the data, for the identification of the a posteriori most likely (MAP) variable-memory Markov models, for calculating the exact posterior probabilities and the AIC and BIC scores of these models, for prediction with respect to log-loss and 0-1 loss and segmentation/change-point detection. Example data sets from finance, genetics, animal communication and meteorology are also provided. Detailed descriptions of the underlying theory and algorithms can be found in [Kontoyiannis et al. 'Bayesian Context Trees: Modelling and exact inference for discrete time series.' Journal of the Royal Statistical Society: Series B (Statistical Methodology), April 2022. Available at: <arXiv:2007.14900> [stat.ME], July 2020] and [Lungu et al. 'Change-point Detection and Segmentation of Discrete Data using Bayesian Context Trees' <arXiv:2203.04341> [stat.ME], March 2022].
License: GPL (>= 2)
LazyData: true
Encoding: UTF-8
SystemRequirements: C++11
Imports: Rcpp (>= 1.0.5), stringr, igraph, grDevices, graphics
LinkingTo: Rcpp
Depends: R (>= 4.0)
NeedsCompilation: yes
Packaged: 2022-05-12 13:30:53 UTC; Valentinian
Repository: CRAN
Date/Publication: 2022-05-12 14:00:05 UTC

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Package kmodR updated to version 0.2.0 with previous version 0.1.0 dated 2015-03-26

Title: K-Means with Simultaneous Outlier Detection
Description: An implementation of the 'k-means--' algorithm proposed by Chawla and Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering and outlier detection. SIAM International Conference on Data Mining (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by Howe, 2013 in the thesis, Clustering and anomaly detection in tropical cyclones". Useful for creating (potentially) tighter clusters than standard k-means and simultaneously finding outliers inexpensively in multidimensional space.
Author: David Charles Howe [aut, cre]
Maintainer: David Charles Howe <kmodR@edgecondition.com>

Diff between kmodR versions 0.1.0 dated 2015-03-26 and 0.2.0 dated 2022-05-12

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Package geosptdb updated to version 1.0-0 with previous version 0.5-0 dated 2015-06-23

Title: Spatio-Temporal Radial Basis Functions with Distance-Based Methods (Optimization, Prediction and Cross Validation)
Description: Spatio-temporal radial basis functions (optimization, prediction and cross-validation), summary statistics from cross-validation, Adjusting distance-based linear regression model and generation of the principal coordinates of a new individual from Gower's distance.
Author: Carlos Melo [aut, cre] , Oscar Melo [aut], Sandra Melo [aut]
Maintainer: Carlos Melo <cmelo@udistrital.edu.co>

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Package TSfame (with last version 2015.4-1) was removed from CRAN

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

2015-04-30 2015.4-1
2013-09-29 2013.8-2
2012-10-01 2012.8-1
2012-05-05 2012.4-1
2011-11-02 2011.11-1
2011-08-14 2011.8-3
2011-08-12 2011.8-2
2011-08-05 2011.8-1
2011-07-25 2011.7-1
2011-03-23 2011.3-1
2011-01-05 2011.1-1
2010-05-31 2010.5-1
2010-04-11 2009.12-1
2009-10-27 2009.10-1
2009-03-22 2009.3-1
2008-11-03 2008.11-1

Permanent link
Package usincometaxes (with last version 0.2.0) was removed from CRAN

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

2022-05-10 0.2.0

Permanent link
Package sas7bdat updated to version 0.6 with previous version 0.5 dated 2014-06-04

Title: sas7bdat Reverse Engineering Documentation
Description: Documentation and prototypes for the earliest (circa 2010) open-source effort to reverse engineer the sas7bdat file format. The package includes a prototype reader for sas7bdat files. However, newer packages (notably the haven package) contain more robust readers for sas7bdat files.
Author: Matt Shotwell [aut, cre], Clint Cummins [ctb]
Maintainer: Matt Shotwell <matt.shotwell@vanderbilt.edu>

Diff between sas7bdat versions 0.5 dated 2014-06-04 and 0.6 dated 2022-05-12

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Package irtoys updated to version 0.2.2 with previous version 0.2.1 dated 2017-12-15

Title: A Collection of Functions Related to Item Response Theory (IRT)
Description: A collection of functions useful in learning and practicing IRT, which can be combined into larger programs. Provides basic CTT analysis, a simple common interface to the estimation of item parameters in IRT models for binary responses with three different programs (ICL, BILOG-MG, and ltm), ability estimation (MLE, BME, EAP, WLE, plausible values), item and person fit statistics, scaling methods (MM, MS, Stocking-Lord, and the complete Hebaera method), and a rich array of parametric and non-parametric (kernel) plots. Estimates and plots Haberman's interaction model when all items are dichotomously scored.
Author: Ivailo Partchev [aut, cre], Gunter Maris [aut], Tamaki Hattori [ctb]
Maintainer: Ivailo Partchev <partchev@gmail.com>

Diff between irtoys versions 0.2.1 dated 2017-12-15 and 0.2.2 dated 2022-05-12

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Package geiger updated to version 2.0.9 with previous version 2.0.7.1 dated 2022-05-09

Title: Analysis of Evolutionary Diversification
Description: Methods for fitting macroevolutionary models to phylogenetic trees Pennell (2014) <doi:10.1093/bioinformatics/btu181>.
Author: Luke Harmon, Matthew Pennell, Chad Brock, Joseph Brown, Wendell Challenger, Jon Eastman, Rich FitzJohn, Rich Glor, Gene Hunt, Liam Revell, Graham Slater, Josef Uyeda, Jason Weir and CRAN team
Maintainer: Luke Harmon <lukeh@uidaho.edu>

Diff between geiger versions 2.0.7.1 dated 2022-05-09 and 2.0.9 dated 2022-05-12

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New package sspm with initial version 0.9.1
Package: sspm
Title: Spatial Surplus Production Model Framework for Northern Shrimp Populations
Version: 0.9.1
Description: Implement a gam-based spatial surplus production model, aimed at modeling northern shrimp population in Atlantic Canada but potentially to any stock in any location. The package is opinionated in its implementation of SPMs as it internally makes the choice to use penalized spatial gams with time lags. However, it also aims to provide options for the user to customize their model.
License: MIT + file LICENSE
BugReports: https://github.com/pedersen-fisheries-lab/sspm/issues
URL: https://pedersen-fisheries-lab.github.io/sspm/
Encoding: UTF-8
Depends: sf, mgcv, R (>= 3.5.0)
Imports: stats, methods, units, checkmate, cli, tibble, magrittr, tidyr, dplyr, purrr, stringr, rlang
Suggests: testthat (>= 3.0.0), covr, ggplot2, ggforce, lwgeom, tweedie, sfdct, knitr, rmarkdown
LazyData: True
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-10 22:27:20 UTC; vlucet
Author: Valentin Lucet [aut, cre, cph], Eric Pedersen [aut]
Maintainer: Valentin Lucet <valentin.lucet@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-12 08:10:02 UTC

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New package s3.resourcer with initial version 1.0.1
Package: s3.resourcer
Title: S3 Resource Resolver
Version: 1.0.1
Description: Resources are files in tidy or R data format stored in a S3 compatible system, such as Amazon Web Services S3 or Minio object stores. Resources can also be Parquet files, accessed through an Apache Spark service.
License: LGPL (>= 2.1)
Depends: R6, httr, resourcer (>= 1.2), aws.s3, sparklyr
Suggests: testthat, knitr
BugReports: https://github.com/obiba/s3.resourcer
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-11 07:18:32 UTC; yannick
Author: Yannick Marcon [aut, cre] , OBiBa group [cph]
Maintainer: Yannick Marcon <yannick.marcon@obiba.org>
Repository: CRAN
Date/Publication: 2022-05-12 08:40:02 UTC

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New package robflreg with initial version 1.0
Package: robflreg
Title: Robust Functional Linear Regression
Version: 1.0
Date: 2022-05-11
Depends: R (>= 3.5.0), fda, MASS, robustbase
Imports: expm, fda.usc, goffda, mvtnorm, pcaPP, plot3D
LazyLoad: yes
ByteCompile: TRUE
Maintainer: Ufuk Beyaztas <ufukbeyaztas@gmail.com>
Description: Functions for implementing robust methods for functional linear regression. In the functional linear regression, we consider scalar-on-function linear regression and function-on-function linear regression. More details, see Beyaztas, U., and Shang, H. L. (2021) <arXiv:2111.01238> and Beyaztas, U., and Shang, H. L. (2022) <arXiv:2203.05065>.
License: GPL-3
NeedsCompilation: no
Packaged: 2022-05-10 23:30:45 UTC; mq20178348
Author: Ufuk Beyaztas [aut, cre, cph] , Han Lin Shang [aut]
Repository: CRAN
Date/Publication: 2022-05-12 08:20:02 UTC

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New package metrica with initial version 1.2.3
Package: metrica
Title: Prediction Performance Metrics
Version: 1.2.3
Date: 2022-05-10
Description: A compilation of more than 40 functions designed to evaluate prediction performance of point-forecast models accounting for different aspects of the agreement between predicted and observed values. It includes error metrics (e.g. MAE, RMSE), model efficiencies (e.g. NSE, KGE), indices of agreement (e.g. d, RAC), goodness of fit (e.g. r, R2), concordance correlation (e.g. CCC), error decomposition (e.g. lack of accuracy-precision), and plots the visualize agreement. For more details visit the vignettes <https://adriancorrendo.github.io/metrica/>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: covr, tidyverse, knitr, rmarkdown, apsimx, testthat (>= 3.0.0)
Imports: stats, ggplot2, dplyr, rlang, tidyr, viridis, utils, DBI, RSQLite, ggpp
VignetteBuilder: knitr
URL: https://adriancorrendo.github.io/metrica/
BugReports: https://github.com/adriancorrendo/metrica/issues
NeedsCompilation: no
Packaged: 2022-05-11 07:12:07 UTC; correndo
Author: Adrian A. Correndo [cre, cph] , Adrian A. Correndo [aut] , Luiz H. Moro Rosso [aut] , Rai Schwalbert [aut] , Carlos Hernandez [aut] , Leonardo M. Bastos [aut] , Dean Holzworth [aut], Ignacio A. Ciampitti [aut]
Maintainer: Adrian A. Correndo <correndo@ksu.edu>
Repository: CRAN
Date/Publication: 2022-05-12 08:40:05 UTC

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New package getwiki with initial version 0.9.0
Package: getwiki
Title: R Wrapper for Wikipedia Data
Version: 0.9.0
Description: A simple wrapper for 'Wikipedia' data. Specifically, this package looks to fill a gap in retrieving text data in a tidy format that can be used for Natural Language Processing.
Imports: jsonlite
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-05-11 00:16:09 UTC; corydonbaylor
Author: Corydon Baylor [aut, cre]
Maintainer: Corydon Baylor <cwbaylor1@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-12 08:20:05 UTC

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New package FloodFreqPlot with initial version 0.1.0
Package: FloodFreqPlot
Version: 0.1.0
Date: 2022-05-09
Title: Flood Probability Plotting and Graphical Frequency Analysis
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Description: Plotting flood quantiles and their corresponding probabilities (return periods) on the probability papers. The details of relevant methods are available in Chow et al (1988, ISBN: 007070242X, 9780070702424), and Bobee and Ashkar (1991, ISBN: 0918334683, 9780918334688).
License: GPL (>= 3)
LazyData: yes
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-05-10 20:12:32 UTC; Ali
Author: Ali Ahani [aut, cre] , S. Saeid Mousavi Nadoushani [aut]
Maintainer: Ali Ahani <ali.ahani66@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-12 08:10:06 UTC

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New package CopSens with initial version 0.1.0
Package: CopSens
Title: Copula-Based Sensitivity Analysis for Observational Causal Inference
Version: 0.1.0
Description: Implements the copula-based sensitivity analysis method, as discussed in Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with Unobserved Confounding <arXiv:2102.09412>, with Gaussian copula adopted in particular.
URL: https://github.com/JiajingZ/CopSens
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
Imports: pcaMethods (>= 1.78.0), CVXR (>= 1.0), MASS (>= 7.3-53), ggplot2 (>= 3.3.3), stats (>= 4.0.3), dplyr (>= 1.0.3), tidyr (>= 1.1.2), tidyverse (>= 1.3.0)
NeedsCompilation: no
Packaged: 2022-05-11 06:23:54 UTC; jiajing
Author: Jiajing Zheng [aut, cre], Alexander Franks [aut], Alex D'Amour [ctb]
Maintainer: Jiajing Zheng <carolinez6850@gmail.com>
Repository: CRAN
Date/Publication: 2022-05-12 08:30:02 UTC

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New package biogeom with initial version 1.0.5
Package: biogeom
Title: Biological Geometries
Version: 1.0.5
Date: 2022-05-11
Author: Peijian Shi [aut, cre], Johan Gielis [aut], Brady K. Quinn [aut]
Maintainer: Peijian Shi <pjshi@njfu.edu.cn>
Imports: spatstat.geom (>= 2.4-0)
Description: Is used to simulate and fit biological geometries. biogeom incorporates several novel universal parametric equations that can generate the profiles of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020) <doi:10.3390/sym12040645>), three growth-rate curves representing the ontogenetic growth trajectories of animals and plants against time, and the axially symmetrical and integral forms of all these functions (Shi et al. (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021) <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model parameters. biogeom includes several real data sets of the boundary coordinates of natural shapes, including avian eggs, fruit, lanceolate and ovate leaves, tree rings, seeds, and sea stars,and can be potentially applied to other natural shapes. biogeom can quantify the conspecific or interspecific similarity of natural outlines, and provides information with important ecological and evolutionary implications for the growth and form of living organisms.
Depends: R (>= 4.2.0)
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2022-05-11 07:01:26 UTC; PEIJIAN SHI
Repository: CRAN
Date/Publication: 2022-05-12 08:40:09 UTC

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New package simer with initial version 0.9.0.0
Package: simer
Title: Data Simulation for Life Science and Breeding
Version: 0.9.0.0
Date: 2022-5-1
Description: Data simulator including genotype, phenotype, pedigree, selection and reproduction in R. It simulates most of reproduction process of animals or plants and provides data for GS (Genomic Selection), GWAS (Genome-Wide Association Study), and Breeding. For ADI model, please see Kao C and Zeng Z (2002) <doi:10.1093/genetics/160.3.1243>. For build.cov, please see B. D. Ripley (1987) <ISBN:9780470009604>.
License: Apache License 2.0
URL: https://github.com/xiaolei-lab/SIMER
BugReports: https://github.com/xiaolei-lab/SIMER/issues
Imports: utils, stats, Matrix, methods, MASS, rMVP, Rcpp, rjson, igraph
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, BH, bigmemory
Depends: R (>= 3.5.0), bigmemory
Suggests: knitr
Encoding: UTF-8
SystemRequirements: C++11
NeedsCompilation: yes
Maintainer: Xiaolei Liu <xiaoleiliu@mail.hzau.edu.cn>
Packaged: 2022-05-10 00:04:33 UTC; Administrator
Author: Dong Yin [aut], Xuanning Zhang [aut], Lilin Yin [aut], Haohao Zhang [aut], Zhenshuang Tang [ctb], Jingya Xu [ctb], Xiaohui Yuan [ctb], Xinyun Li [ctb], Shuhong Zhao [ctb], Xiaolei Liu [cre, aut, cph]
Repository: CRAN
Date/Publication: 2022-05-12 07:10:02 UTC

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New package nlmixr2est with initial version 2.0.6
Package: nlmixr2est
Title: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines
Depends: R (>= 4.0), nlmixr2data
Imports: Rcpp (>= 0.12.3), lbfgsb3c, dparser, methods, rex, minqa, Matrix, n1qn1 (>= 6.0.1-10), rxode2(>= 1.0.0), nlme, magrittr, backports, symengine
Suggests: Rvmmin, broom.mixed, crayon, knitr, data.table, devtools, digest, dplyr, lotri, nloptr, pkgdown, rmarkdown, testthat, ucminf, generics, tibble, checkmate, cli, qs, covr, vpc, withr, xgxr
Version: 2.0.6
Description: Fit and compare nonlinear mixed-effects models in differential equations with flexible dosing information commonly seen in pharmacokinetics and pharmacodynamics (Almquist, Leander, and Jirstrand 2015 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by compiled C code provided in the 'rxode2' package (Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
License: GPL (>= 3)
NeedsCompilation: yes
LinkingTo: dparser(>= 0.1.8), rxode2(>= 1.0.0), RcppEigen (>= 0.3.3.3.0), lbfgsb3c, Rcpp, BH, StanHeaders(>= 2.18.0), RcppArmadillo (>= 0.5.600.2.0)
URL: https://github.com/nlmixr2/nlmixr2est
Biarch: true
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>
Encoding: UTF-8
Language: en-US
Packaged: 2022-05-10 14:19:53 UTC; matt
Author: Matthew Fidler [aut, cre] , Yuan Xiong [aut], Rik Schoemaker [aut] , Justin Wilkins [aut] , Wenping Wang [aut], Robert Leary [ctb], Mason McComb [ctb] , Vipul Mann [aut], Mirjam Trame [ctb], Mahmoud Abdelwahab [ctb], Teun Post [ctb], Richard Hooijmai [...truncated...]
Repository: CRAN
Date/Publication: 2022-05-12 07:50:02 UTC

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New package IPEDSuploadables with initial version 2.4.5
Package: IPEDSuploadables
Title: Transforms Institutional Data into Text Files for IPEDS Automated Import/Upload
Version: 2.4.5
Description: Starting from user-supplied institutional data, these scripts transform, aggregate, and reshape the information to produce key-value pair data files that are able to be uploaded to IPEDS (Integrated Postsecondary Education Data System) through their submission portal <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be found in the vignettes. Final files are saved locally to a location of the user's choice. User-friendly readable files can also be produced for purposes of data review and validation.
Note: Because IPEDS requirements may change from year to year, having the most recent version of this package is highly recommended. Old versions can be found as GitHub branches. The package can also be used to convert any correctly-prepared data into a key-value pair format for any survey (IPEDS or non-IPEDS).
URL: https://github.com/AlisonLanski/IPEDSuploadables, https://alisonlanski.github.io/IPEDSuploadables/
BugReports: https://github.com/AlisonLanski/IPEDSuploadables/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: dplyr, lubridate, magrittr, purrr, rlang, stringr, svDialogs, tidyr (>= 1.0.0), utils
Suggests: knitr, rmarkdown, kableExtra, testthat (>= 3.0.0)
VignetteBuilder: knitr
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2022-05-10 19:42:23 UTC; alanski
Author: Alison Lanski [aut, cre], Shiloh Fling [aut]
Maintainer: Alison Lanski <alanski@nd.edu>
Repository: CRAN
Date/Publication: 2022-05-12 08:00:02 UTC

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New package gRim with initial version 0.2.9
Package: gRim
Version: 0.2.9
Title: Graphical Interaction Models
Author: Soeren Hoejsgaard <sorenh@math.aau.dk>
Maintainer: Soeren Hoejsgaard <sorenh@math.aau.dk>
Description: Provides the following types of models: Models for contingency tables (i.e. log-linear models) Graphical Gaussian models for multivariate normal data (i.e. covariance selection models) Mixed interaction models. Documentation about 'gRim' is provided by vignettes included in this package and the book by Højsgaard, Edwards and Lauritzen (2012, <doi:10.1007/978-1-4614-2299-0>); see 'citation("gRim")' for details.
License: GPL (>= 2)
URL: https://people.math.aau.dk/~sorenh/software/gR/
Encoding: UTF-8
Depends: R (>= 3.6.0), methods, gRbase (>= 1.8.6)
Suggests: testthat (>= 2.1.0)
Imports: graph, Rgraphviz, igraph, stats4, gRain (>= 1.3.10), magrittr, Rcpp (>= 0.11.1)
ByteCompile: yes
LinkingTo: Rcpp (>= 0.11.1), RcppArmadillo, RcppEigen, gRbase (>= 1.8.6)
NeedsCompilation: yes
Packaged: 2022-05-12 03:37:25 UTC; sorenh
Repository: CRAN
Date/Publication: 2022-05-12 07:10:07 UTC

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New package FRESHD with initial version 1.0
Package: FRESHD
Title: Fast Robust Estimation of Signals in Heterogeneous Data
Version: 1.0
Date: 2022-05-09
Maintainer: Adam Lund <adam.lund@math.ku.dk>
Description: Procedure for solving the maximin problem for identical design across heterogeneous data groups. Particularly efficient when the design matrix is either orthogonal or has tensor structure. Orthogonal wavelets can be specified for 1d, 2d or 3d data simply by name. For tensor structured design the tensor components (two or three) may be supplied. The package also provides an efficient implementation of the generic magging estimator.
Imports: Rcpp (>= 0.12.12), glamlasso
License: GPL
LinkingTo: Rcpp, RcppArmadillo, RcppEigen
NeedsCompilation: yes
Packaged: 2022-05-10 18:35:57 UTC; adam
Author: Adam Lund [aut, cre, ctb, cph], Benjamin Stephens [ctb, cph], Gael Guennebaud [ctb, cph], Angelo Furfaro [ctb, cph], Luca Di Gaspero [ctb, cph], Brandon Whitcher [ctb, cph]
Repository: CRAN
Date/Publication: 2022-05-12 08:00:06 UTC

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Package currentSurvival updated to version 1.1 with previous version 1.0 dated 2013-01-19

Title: Estimation of CCI and CLFS Functions
Description: The currentSurvival package contains functions for the estimation of the current cumulative incidence (CCI) and the current leukaemia-free survival (CLFS). The CCI is the probability that a patient is alive and in any disease remission (e.g. complete cytogenetic remission in chronic myeloid leukaemia) after initiating his or her therapy (e.g. tyrosine kinase therapy for chronic myeloid leukaemia). The CLFS is the probability that a patient is alive and in any disease remission after achieving the first disease remission.
Author: Eva Koritakova , Tomas Pavlik, Jiri Mayer, Ladislav Dusek
Maintainer: Eva Koritakova <koritakova@iba.muni.cz>

Diff between currentSurvival versions 1.0 dated 2013-01-19 and 1.1 dated 2022-05-12

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 4 files changed, 23 insertions(+), 20 deletions(-)

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New package causalDisco with initial version 0.9.1
Package: causalDisco
Title: Tools for Causal Discovery on Observational Data
Version: 0.9.1
Description: Various tools for inferring causal models from observational data. The package includes an implementation of the temporal Peter-Clark (TPC) algorithm. Petersen, Osler and Ekstrøm (2021) <doi:10.1093/aje/kwab087>. It also includes general tools for evaluating differences in adjacency matrices, which can be used for evaluating performance of causal discovery procedures.
Depends: R (>= 3.5.0)
License: GPL-2
Encoding: UTF-8
LazyData: true
URL: https://github.com/annennenne/causalDisco
BugReports: https://github.com/annennenne/causalDisco/issues
Imports: pcalg, igraph, RColorBrewer, gtools, clipr, methods, scales
NeedsCompilation: no
Packaged: 2022-05-10 16:40:10 UTC; root
Author: Anne Helby Petersen [aut, cre]
Maintainer: Anne Helby Petersen <ahpe@sund.ku.dk>
Repository: CRAN
Date/Publication: 2022-05-12 07:50:06 UTC

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New package APML with initial version 0.0.5
Package: APML
Title: An Approach for Machine-Learning Modelling
Version: 0.0.5
Description: We include 1) data cleaning including variable scaling, missing values and unbalanced variables identification and removing, and strategies for variable balance improving; 2) modeling based on random forest and gradient boosted model including feature selection, model training, cross-validation and external testing. For more information, please see Deng X (2021). <doi:10.1016/j.scitotenv.2020.144746>; H2O.ai (Oct. 2016). R Interface for H2O, R package version 3.10.0.8. <https://github.com/h2oai/h2o-3>; Zhang W (2016). <doi:10.1016/j.scitotenv.2016.02.023>.
License: GPL-3
Encoding: UTF-8
Imports: survival,h2o,performanceEstimation,fastDummies,dplyr,ggplot2,pROC
NeedsCompilation: no
Author: Xinlei Deng [aut, cre, cph], Wangjian Zhang [aut], Tianyue Mi [aut], Shao Lin [aut]
Maintainer: Xinlei Deng <xinlei.deng.apha@gmail.com>
Repository: CRAN
Packaged: 2022-05-12 04:10:18 UTC; Xinlei Deng
Date/Publication: 2022-05-12 07:10:11 UTC

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Package SoundShape (with last version 1.1.9) was removed from CRAN

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2022-04-05 1.1.9

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Package svrep updated to version 0.2.0 with previous version 0.1.0 dated 2022-03-30

Title: Tools for Creating, Updating, and Analyzing Survey Replicate Weights
Description: Provides tools for creating and working with survey replicate weights, extending functionality of the 'survey' package from Lumley (2004) <doi:10.18637/jss.v009.i08>. Methods are provided for applying nonresponse adjustments to both full-sample and replicate weights as suggested by Rust and Rao (1996) <doi:10.1177/096228029600500305>. Implements methods for sample-based calibration described by Opsomer and Erciulescu (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>. Diagnostic functions are included to compare weights and weighted estimates from different sets of replicate weights.
Author: Ben Schneider
Maintainer: Ben Schneider <benjamin.julius.schneider@gmail.com>

Diff between svrep versions 0.1.0 dated 2022-03-30 and 0.2.0 dated 2022-05-12

 DESCRIPTION                                 |   19 ++-
 MD5                                         |   29 ++++-
 NAMESPACE                                   |    8 +
 NEWS.md                                     |   32 ++++++
 R/calibrate_to_estimate.R                   |only
 R/calibrate_to_sample.R                     |only
 R/example_data.R                            |only
 R/svrep-package.R                           |   24 +++-
 README.md                                   |  138 +++++++++++++++++++++++++++-
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 tests/testthat/test-calibrate_to_sample.R   |only
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 20 files changed, 229 insertions(+), 21 deletions(-)

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New package PMA2 with initial version 2.1
Package: PMA2
Title: Penalized Multivariate Analysis
Version: 2.1
Date: 2022-05-04
URL: https://github.com/Ali-Mahzarnia/PMA2
BugReports: https://github.com/Ali-Mahzarnia/PMA2
Author: Ali Mahzarnia
Maintainer: Ali Mhazarnia <ali.mahzarnia@duke.edu>
Description: A modified version of PMA. The CCA() and CCA.permute() functions can also compute the component-wise standard deviations of estimated U and V through permutations in addition to standardize them. Furthermore, it computes the non-parametric p-values for each components. Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Ali Mahzarnia, Alexander Badea (2022), "Joint Estimation of Vulnerable Brain Networks and Alzheimer’s Disease Risk Via Novel Extension of Sparse Canonical Correlation" at bioRxiv.
Depends: R (>= 2.10)
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2022-05-09 13:26:36 UTC; ali
Repository: CRAN
Date/Publication: 2022-05-12 07:00:05 UTC

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New package GLDEX with initial version 2.0.0.8
Package: GLDEX
Version: 2.0.0.8
Date: 2022-04-28
Title: Fitting Single and Mixture of Generalised Lambda Distributions
Maintainer: Steve Su <allegro.su@gmail.com>
Depends: cluster, grDevices, graphics, stats, spacefillr
Description: The fitting algorithms considered in this package have two major objectives. One is to provide a smoothing device to fit distributions to data using the weight and unweighted discretised approach based on the bin width of the histogram. The other is to provide a definitive fit to the data set using the maximum likelihood and quantile matching estimation. Other methods such as moment matching, starship method, L moment matching are also provided. Diagnostics on goodness of fit can be done via qqplots, KS-resample tests and comparing mean, variance, skewness and kurtosis of the data with the fitted distribution. References include the following: Karvanen and Nuutinen (2008) "Characterizing the generalized lambda distribution by L-moments" <doi:10.1016/j.csda.2007.06.021>, King and MacGillivray (1999) "A starship method for fitting the generalised lambda distributions" <doi:10.1111/1467-842X.00089>, Su (2005) "A Discretized Approach to Flexibly Fit Generalized Lambda Distributions to Data" <doi:10.22237/jmasm/1130803560>, Su (2007) "Nmerical Maximum Log Likelihood Estimation for Generalized Lambda Distributions" <doi:10.1016/j.csda.2006.06.008>, Su (2007) "Fitting Single and Mixture of Generalized Lambda Distributions to Data via Discretized and Maximum Likelihood Methods: GLDEX in R" <doi:10.18637/jss.v021.i09>, Su (2009) "Confidence Intervals for Quantiles Using Generalized Lambda Distributions" <doi:10.1016/j.csda.2009.02.014>, Su (2010) "Chapter 14: Fitting GLDs and Mixture of GLDs to Data using Quantile Matching Method" <doi:10.1201/b10159-3>, Su (2010) "Chapter 15: Fitting GLD to data using GLDEX 1.0.4 in R" <doi:10.1201/b10159-3>, Su (2015) "Flexible Parametric Quantile Regression Model" <doi:10.1007/s11222-014-9457-1>, Su (2021) "Flexible parametric accelerated failure time model"<doi:10.1080/10543406.2021.1934854>.
License: GPL (>= 3)
NeedsCompilation: yes
Packaged: 2022-05-09 12:47:23 UTC; Allegro
Author: Steve Su [aut, cre, cph] , Martin Maechler [aut], Juha Karvanen [aut], Robert King [aut], Benjamin Dean [ctb], R Core Team [aut]
Repository: CRAN
Date/Publication: 2022-05-12 07:00:08 UTC

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Package TAM (with last version 3.7-16) was removed from CRAN

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2021-06-25 3.7-16
2021-04-22 3.6-45
2020-05-06 3.5-19
2020-03-10 3.4-26
2019-08-23 3.3-10
2019-07-04 3.2-24
2019-03-18 3.1-45
2018-12-10 3.0-21
2018-09-30 2.13-15
2018-05-25 2.12-18
2018-05-02 2.11-93
2018-03-29 2.10-24
2018-02-26 2.9-35
2017-11-16 2.8-21
2017-10-19 2.7-56
2017-08-13 2.6-2
2017-08-08 2.5-14
2017-06-30 2.4-9
2017-06-25 2.3-18
2017-06-17 2.2-49
2017-05-11 2.1-43
2017-04-12 2.0-37
2017-03-02 1.99999-31
2017-02-06 1.99993-0
2017-01-23 1.99992-0
2016-05-31 1.995-0
2016-04-15 1.99-6
2016-03-11 1.17-0
2016-02-01 1.16-0
2015-12-16 1.15-0
2015-10-15 1.14-0
2015-08-29 1.13-0
2015-08-27 1.12-0
2015-08-11 1.11-0
2015-07-25 1.10-0
2015-06-30 1.9-0
2015-06-26 1.8-0
2015-06-05 1.7-1
2015-04-03 1.6-0
2015-02-24 1.5-2
2015-01-16 1.4-1
2015-01-06 1.3
2014-11-22 1.2
2014-10-19 1.1
2014-09-08 1.0-3.18-1
2014-06-27 1.0-3
2014-05-02 1.0-2.1
2014-04-02 1.0-2
2014-02-02 1.0-1
2014-01-01 1.0-0
2013-11-02 0.99-7
2013-10-13 0.9-9
2013-10-03 0.8-19
2013-09-15 0.7-35
2013-08-28 0.6-26
2013-07-28 0.5-21
2013-07-01 0.04-43

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Package whomds (with last version 1.0.1) was removed from CRAN

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2021-11-26 1.0.1
2021-11-23 1.0.0

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Package dcminfo (with last version 0.1.7) was removed from CRAN

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2017-11-06 0.1.7

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Package discnorm (with last version 0.2.0) was removed from CRAN

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2022-03-22 0.2.0
2021-12-10 0.1.1
2020-05-20 0.1.0

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Package LAM (with last version 0.5-15) was removed from CRAN

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2020-05-09 0.5-15
2019-05-06 0.4-17
2018-06-07 0.3-48
2018-03-20 0.2-9
2017-11-24 0.1-22
2017-05-11 0.0-17

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Package mnlfa (with last version 0.1-53) was removed from CRAN

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2019-04-05 0.1-53

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Package mdmb (with last version 1.5-8) was removed from CRAN

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2021-01-21 1.5-8
2020-05-12 1.4-12
2019-04-16 1.3-18
2019-01-11 1.2-4
2019-01-07 1.1-51
2018-11-06 1.0-18
2018-10-16 0.11-7
2018-09-12 0.10-13
2018-08-08 0.9-43
2018-07-09 0.8-47
2018-04-24 0.7-19
2018-02-16 0.6-17
2018-01-22 0.5-27
2017-08-20 0.4-15
2017-07-12 0.3-11
2017-02-07 0.2-0
2017-01-26 0.1-0

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Package sirt (with last version 3.11-21) was removed from CRAN

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2021-12-09 3.11-21
2021-09-23 3.10-118
2020-02-17 3.9-4
2020-02-15 3.8-11
2019-11-04 3.7-40
2019-08-01 3.6-21
2019-06-20 3.5-53
2019-05-03 3.4-64
2019-03-18 3.3-26
2019-02-08 3.2-39
2019-01-04 3.1-80
2018-11-22 3.0-32
2018-07-10 2.7-50
2018-03-22 2.6-9
2018-03-13 2.5-45
2018-01-29 2.4-20
2017-11-23 2.3-57
2017-09-20 2.2-14
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2017-03-02 1.15-41
2017-01-11 1.14-0
2016-11-17 1.13-1
2016-07-19 1.12-2
2016-05-30 1.11-0
2016-01-29 1.10-0
2015-11-04 1.9-0
2015-06-28 1.8-9
2015-06-05 1.7-0
2015-05-20 1.6-0
2015-03-03 1.5-0
2015-01-06 1.3
2014-12-12 1.2
2014-11-23 1.1
2014-10-27 1.0-3
2014-08-30 0.47-36
2014-08-05 0.46-15
2014-05-30 0.45-23
2014-04-27 0.44-47
2014-04-27 0.44-48
2014-03-12 0.43-70
2014-01-31 0.42-25
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2013-12-09 0.40-9
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Package immer (with last version 1.2-19) was removed from CRAN

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2022-04-13 1.2-19
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2017-01-18 0.7-0
2016-10-28 0.6-0
2016-05-31 0.5-0
2016-03-07 0.4-0
2016-01-22 0.3-0
2015-11-04 0.2-0
2015-09-14 0.1-1

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Package subscore (with last version 3.1) was removed from CRAN

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2019-04-12 3.1
2019-03-03 3.0
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2016-08-17 1.3
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Package STARTS (with last version 1.2-35) was removed from CRAN

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2019-11-04 1.2-35
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2018-03-21 0.3-24
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Package CDM (with last version 8.0-5) was removed from CRAN

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2022-05-02 8.0-5
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2019-03-18 7.3-17
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2018-12-13 7.1-20
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2018-08-16 6.5-12
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2018-05-28 6.3-45
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2018-02-26 6.1-10
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2014-12-17 4.1
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2011-10-27 1.0-0

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Package immcp updated to version 1.0.3 with previous version 0.9.2 dated 2020-11-14

Title: Poly-Pharmacology Toolkit for Traditional Chinese Medicine Research
Description: Toolkit for Poly-pharmacology Research of Traditional Chinese Medicine. Based on the biological descriptors and drug-disease interaction networks, it can analyze the potential poly-pharmacological mechanisms of Traditional Chinese Medicine and be used for drug-repositioning in Traditional Chinese Medicine.
Author: Yuanlong Hu [aut, cre]
Maintainer: Yuanlong Hu <huyuanlong1996@163.com>

Diff between immcp versions 0.9.2 dated 2020-11-14 and 1.0.3 dated 2022-05-12

 immcp-0.9.2/immcp/R/AllClasses.R              |only
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 immcp-0.9.2/immcp/R/simFP.R                   |only
 immcp-0.9.2/immcp/R/sysdata.rda               |only
 immcp-0.9.2/immcp/R/use_DOSE.R                |only
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 immcp-0.9.2/immcp/data/drugSample.rda         |only
 immcp-0.9.2/immcp/man/ScoreFP-class.Rd        |only
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 immcp-1.0.3/immcp/DESCRIPTION                 |   45 ++--
 immcp-1.0.3/immcp/MD5                         |  105 +++++-----
 immcp-1.0.3/immcp/NAMESPACE                   |  169 +++++++++-------
 immcp-1.0.3/immcp/NEWS.md                     |    5 
 immcp-1.0.3/immcp/R/AllClass.R                |only
 immcp-1.0.3/immcp/R/AllGeneric.R              |only
 immcp-1.0.3/immcp/R/CreateBasicData.R         |  237 +++++------------------
 immcp-1.0.3/immcp/R/CreateDisDrugNet.R        |only
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 immcp-1.0.3/immcp/R/data.R                    |only
 immcp-1.0.3/immcp/R/do_geneset.R              |   62 ++++--
 immcp-1.0.3/immcp/R/get_biodescr.R            |only
 immcp-1.0.3/immcp/R/network_char.R            |only
 immcp-1.0.3/immcp/R/network_node_ks.R         |only
 immcp-1.0.3/immcp/R/plot_BioDescr.R           |only
 immcp-1.0.3/immcp/R/plot_graph.R              |only
 immcp-1.0.3/immcp/R/score_network.R           |  261 ++++++++------------------
 immcp-1.0.3/immcp/R/score_rule.R              |only
 immcp-1.0.3/immcp/R/score_sim.R               |only
 immcp-1.0.3/immcp/R/subset_network.R          |only
 immcp-1.0.3/immcp/README.md                   |   10 
 immcp-1.0.3/immcp/build/vignette.rds          |binary
 immcp-1.0.3/immcp/data/drugdemo.rda           |only
 immcp-1.0.3/immcp/inst/doc/immcp.R            |   51 +----
 immcp-1.0.3/immcp/inst/doc/immcp.Rmd          |   87 ++------
 immcp-1.0.3/immcp/inst/doc/immcp.html         |  146 ++++++--------
 immcp-1.0.3/immcp/man/BasicData-class.Rd      |   14 -
 immcp-1.0.3/immcp/man/BioDescr-class.Rd       |only
 immcp-1.0.3/immcp/man/CreateBasicData.Rd      |   25 +-
 immcp-1.0.3/immcp/man/CreateDisDrugNet.Rd     |only
 immcp-1.0.3/immcp/man/HerbResult-class.Rd     |only
 immcp-1.0.3/immcp/man/PrepareData.Rd          |   25 +-
 immcp-1.0.3/immcp/man/diff_network_char.Rd    |only
 immcp-1.0.3/immcp/man/drugdemo.Rd             |only
 immcp-1.0.3/immcp/man/enrich_f.Rd             |only
 immcp-1.0.3/immcp/man/exportCytoscape.Rd      |only
 immcp-1.0.3/immcp/man/extr_biodescr-method.Rd |only
 immcp-1.0.3/immcp/man/extr_biodescr.Rd        |only
 immcp-1.0.3/immcp/man/natural_connectivity.Rd |only
 immcp-1.0.3/immcp/man/network_char.Rd         |only
 immcp-1.0.3/immcp/man/network_node_ks.Rd      |only
 immcp-1.0.3/immcp/man/plot_BioDescr.Rd        |only
 immcp-1.0.3/immcp/man/plot_graph-method.Rd    |only
 immcp-1.0.3/immcp/man/read_gmt.Rd             |    6 
 immcp-1.0.3/immcp/man/score_network.Rd        |   30 +-
 immcp-1.0.3/immcp/man/score_rule.Rd           |only
 immcp-1.0.3/immcp/man/score_sim.Rd            |only
 immcp-1.0.3/immcp/man/to_biodescr.Rd          |only
 immcp-1.0.3/immcp/man/to_df.Rd                |    9 
 immcp-1.0.3/immcp/man/to_list.Rd              |    5 
 immcp-1.0.3/immcp/man/write_gmt.Rd            |    2 
 immcp-1.0.3/immcp/vignettes/immcp.Rmd         |   87 ++------
 86 files changed, 569 insertions(+), 812 deletions(-)

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2016-11-20 0.2.9
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