Sat, 23 Mar 2024

Package dmai updated to version 0.5.0 with previous version 0.4.0 dated 2019-05-18

Title: Divisia Monetary Aggregates Index
Description: Functions to calculate Divisia monetary aggregates index as given in Barnett, W. A. (1980) (<DOI:10.1016/0304-4076(80)90070-6>).
Author: Muhammad Yaseen [aut, cre], Ahmad Nadeem [aut, ctb]
Maintainer: Muhammad Yaseen <myaseen208@gmail.com>

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Package CommonJavaJars updated to version 1.1-0 with previous version 1.0-6 dated 2018-07-09

Title: Useful Libraries for Building a Java Based GUI under R
Description: Useful libraries for building a Java based GUI under R are provided.
Author: Kornelius Rohmeyer , see COPYRIGHTS file for the authors of the java libraries
Maintainer: Kornelius Rohmeyer <rohmeyer@small-projects.de>

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Package MSCquartets updated to version 2.0 with previous version 1.3.2 dated 2023-10-27

Title: Analyzing Gene Tree Quartets under the Multi-Species Coalescent
Description: Methods for analyzing and using quartets displayed on a collection of gene trees, primarily to make inferences about the species tree or network under the multi-species coalescent model. These include quartet hypothesis tests for the model, as developed by Mitchell et al. (2019) <doi:10.1214/19-EJS1576>, simplex plots of quartet concordance factors as presented by Allman et al. (2020) <doi:10.1101/2020.02.13.948083>, species tree inference methods based on quartet distances of Rhodes (2019) <doi:10.1109/TCBB.2019.2917204> and Yourdkhani and Rhodes (2019) <doi:10.1007/s11538-020-00773-4>, the NANUQ algorithm for inference of level-1 species networks of Allman et al. (2019) <doi:10.1186/s13015-019-0159-2>, and the TINNIK algorithm for inference of the tree of blobs of an arbitrary network of Allman et al.(2022) <doi:10.1007/s00285-022-01838-9>. Software announcement by Rhodes et al. (2020) <doi:10.1093/bioinformatics/btaa868>.
Author: Elizabeth Allman [aut], Hector Banos [aut], Jonathan Mitchell [aut], John Rhodes [aut, cre]
Maintainer: John Rhodes <j.rhodes@alaska.edu>

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Package littler updated to version 0.3.20 with previous version 0.3.19 dated 2023-12-17

Title: R at the Command-Line via 'r'
Description: A scripting and command-line front-end is provided by 'r' (aka 'littler') as a lightweight binary wrapper around the GNU R language and environment for statistical computing and graphics. While R can be used in batch mode, the r binary adds full support for both 'shebang'-style scripting (i.e. using a hash-mark-exclamation-path expression as the first line in scripts) as well as command-line use in standard Unix pipelines. In other words, r provides the R language without the environment.
Author: Dirk Eddelbuettel and Jeff Horner
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package DTRreg updated to version 2.2 with previous version 2.1 dated 2024-03-14

Title: DTR Estimation and Inference via G-Estimation, Dynamic WOLS, Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv)
Description: Dynamic treatment regime estimation and inference via G-estimation, dynamic weighted ordinary least squares (dWOLS) and Q-learning. Inference via bootstrap and recursive sandwich estimation. Estimation and inference for survival outcomes via Dynamic Weighted Survival Modeling (DWSurv). Extension to continuous treatment variables. Wallace et al. (2017) <DOI:10.18637/jss.v080.i02>; Simoneau et al. (2020) <DOI:10.1080/00949655.2020.1793341>.
Author: Michael Wallace, Erica E M Moodie, David A Stephens, Gabrielle Simoneau, Shannon T. Holloway and Juliana Schulz
Maintainer: Shannon T. Holloway <shannon.t.holloway@gmail.com>

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Package cdlTools updated to version 1.13 with previous version 0.15 dated 2020-06-27

Title: Tools to Download and Work with USDA Cropscape Data
Description: Downloads USDA National Agricultural Statistics Service (NASS) cropscape data for a specified state. Utilities for fips, abbreviation, and name conversion are also provided. Full functionality requires an internet connection, but data sets can be cached for later off-line use.
Author: Jonathan Lisic [cre], Lu Chen [aut], Jemma Stachelek [ctb]
Maintainer: Jonathan Lisic <jlisic@gmail.com>

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Package xaringan updated to version 0.30 with previous version 0.29 dated 2024-02-09

Title: Presentation Ninja
Description: Create HTML5 slides with R Markdown and the JavaScript library 'remark.js' (<https://remarkjs.com>).
Author: Yihui Xie [aut, cre] , Posit Software, PBC [cph, fnd], Alessandro Gasparini [ctb] , Benjie Gillam [ctb], Claus Thorn Ekstroem [ctb], Daniel Anderson [ctb], Dawei Lang [ctb], Deo Salil [ctb], Emi Tanaka [ctb], Garrick Aden-Buie [ctb] , Inaki Ucar [ctb] [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package servr updated to version 0.30 with previous version 0.29 dated 2024-02-09

Title: A Simple HTTP Server to Serve Static Files or Dynamic Documents
Description: Start an HTTP server in R to serve static files, or dynamic documents that can be converted to HTML files (e.g., R Markdown) under a given directory.
Author: Yihui Xie [aut, cre] , Carson Sievert [ctb], Jesse Anderson [ctb], Ramnath Vaidyanathan [ctb], Romain Lesur [ctb], Posit Software, PBC [cph, fnd]
Maintainer: Yihui Xie <xie@yihui.name>

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Package censobr updated to version 0.3.2 with previous version 0.3.1 dated 2024-02-23

Title: Download Data from Brazil's Population Census
Description: Download data from Brazil's population census. The package is built on top of the 'Arrow' platform <https://arrow.apache.org/docs/r/>, which allows users to work with larger-than-memory census data using 'dplyr' familiar functions. <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.
Author: Rafael H. M. Pereira [aut, cre] , Rogerio J. Barbosa [aut] , Diego Rabatone Oliveira [ctb], Neal Richardson [ctb], Ipea - Institute for Applied Economic Research [cph, fnd]
Maintainer: Rafael H. M. Pereira <rafa.pereira.br@gmail.com>

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Package tidyfit updated to version 0.7.1 with previous version 0.7.0 dated 2024-02-26

Title: Regularized Linear Modeling with Tidy Data
Description: An extension to the 'R' tidy data environment for automated machine learning. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
Author: Johann Pfitzinger [aut, cre]
Maintainer: Johann Pfitzinger <johann.pfitzinger@gmail.com>

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Package glmnetr updated to version 0.4-4 with previous version 0.4-3 dated 2024-03-03

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'), 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. 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 default. When fitting not a relaxed lasso model but an elastic-net model, then the R-packages 'nestedcv' <https://cran.r-project.org/package=nestedcv>, 'glmnetSE' <http [...truncated...]
Author: Walter K Kremers [aut, cre] , Nicholas B Larson [ctb]
Maintainer: Walter K Kremers <kremers.walter@mayo.edu>

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 glmnetr-0.4-4/glmnetr/man/best.preds.Rd                                |    7 
 glmnetr-0.4-4/glmnetr/man/bsint.Rd                                     |    2 
 glmnetr-0.4-4/glmnetr/man/calceloss.Rd                                 |    2 
 glmnetr-0.4-4/glmnetr/man/cox.sat.dev.Rd                               |    5 
 glmnetr-0.4-4/glmnetr/man/cv.glmnetr.Rd                                |    4 
 glmnetr-0.4-4/glmnetr/man/cv.stepreg.Rd                                |    5 
 glmnetr-0.4-4/glmnetr/man/devrat_.Rd                                   |    5 
 glmnetr-0.4-4/glmnetr/man/diff_time.Rd                                 |    5 
 glmnetr-0.4-4/glmnetr/man/diff_time1.Rd                                |    2 
 glmnetr-0.4-4/glmnetr/man/dtstndrz.Rd                                  |    4 
 glmnetr-0.4-4/glmnetr/man/factor.foldid.Rd                             |    5 
 glmnetr-0.4-4/glmnetr/man/get.foldid.Rd                                |    4 
 glmnetr-0.4-4/glmnetr/man/getlamgam.Rd                                 |    2 
 glmnetr-0.4-4/glmnetr/man/glmnetr.Rd                                   |    4 
 glmnetr-0.4-4/glmnetr/man/glmnetr.compcv.Rd                            |   13 
 glmnetr-0.4-4/glmnetr/man/glmnetr.compcv0.Rd                           |    2 
 glmnetr-0.4-4/glmnetr/man/glmnetr.simdata.Rd                           |    4 
 glmnetr-0.4-4/glmnetr/man/glmnetr_devratio.Rd                          |    2 
 glmnetr-0.4-4/glmnetr/man/glmnetr_seed.Rd                              |    5 
 glmnetr-0.4-4/glmnetr/man/glmnetrll_1fold.Rd                           |    2 
 glmnetr-0.4-4/glmnetr/man/nested.glmnetr.Rd                            |   70 ++--
 glmnetr-0.4-4/glmnetr/man/plot.cv.glmnetr.Rd                           |    2 
 glmnetr-0.4-4/glmnetr/man/plot.glmnetr.Rd                              |    2 
 glmnetr-0.4-4/glmnetr/man/plot.nested.glmnetr.Rd                       |   39 +-
 glmnetr-0.4-4/glmnetr/man/plot_perf_glmnetr.Rd                         |   35 +-
 glmnetr-0.4-4/glmnetr/man/predict.cv.glmnetr.Rd                        |    4 
 glmnetr-0.4-4/glmnetr/man/predict.cv.stepreg.Rd                        |    5 
 glmnetr-0.4-4/glmnetr/man/predict.glmnetr.Rd                           |    2 
 glmnetr-0.4-4/glmnetr/man/predict.nested.glmnetr.Rd                    |    4 
 glmnetr-0.4-4/glmnetr/man/predict_ann_tab.Rd                           |    5 
 glmnetr-0.4-4/glmnetr/man/predict_nested_rf.Rd                         |only
 glmnetr-0.4-4/glmnetr/man/predict_nested_xgb.Rd                        |only
 glmnetr-0.4-4/glmnetr/man/prednn_tl.Rd                                 |    2 
 glmnetr-0.4-4/glmnetr/man/preds_1.Rd                                   |    2 
 glmnetr-0.4-4/glmnetr/man/print.nested.glmnetr.Rd                      |    4 
 glmnetr-0.4-4/glmnetr/man/print.rf_tune.Rd                             |    5 
 glmnetr-0.4-4/glmnetr/man/rederive_rf.Rd                               |only
 glmnetr-0.4-4/glmnetr/man/rederive_xgb.Rd                              |only
 glmnetr-0.4-4/glmnetr/man/rf_tune.Rd                                   |    9 
 glmnetr-0.4-4/glmnetr/man/rf_xbhat.Rd                                  |only
 glmnetr-0.4-4/glmnetr/man/roundperf.Rd                                 |    5 
 glmnetr-0.4-4/glmnetr/man/rpart_xbhat.Rd                               |only
 glmnetr-0.4-4/glmnetr/man/stepreg.Rd                                   |    5 
 glmnetr-0.4-4/glmnetr/man/summary.cv.glmnetr.Rd                        |    4 
 glmnetr-0.4-4/glmnetr/man/summary.cv.stepreg.Rd                        |    5 
 glmnetr-0.4-4/glmnetr/man/summary.nested.glmnetr.Rd                    |   11 
 glmnetr-0.4-4/glmnetr/man/summary.rf_tune.Rd                           |    5 
 glmnetr-0.4-4/glmnetr/man/summary.stepreg.Rd                           |    5 
 glmnetr-0.4-4/glmnetr/man/wtlast.Rd                                    |    2 
 glmnetr-0.4-4/glmnetr/man/wtmiddle.Rd                                  |    2 
 glmnetr-0.4-4/glmnetr/man/wtzero.Rd                                    |    2 
 glmnetr-0.4-4/glmnetr/man/xgb.simple.Rd                                |    7 
 glmnetr-0.4-4/glmnetr/man/xgb.tuned.Rd                                 |   19 -
 glmnetr-0.4-4/glmnetr/man/xgb_xbhat.Rd                                 |only
 glmnetr-0.4-4/glmnetr/vignettes/An_Overview_of_glmnetr_240322.Rmd      |only
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 115 files changed, 339 insertions(+), 221 deletions(-)

More information about glmnetr at CRAN
Permanent link

Package PFIM updated to version 6.0.3 with previous version 6.0.2 dated 2023-11-24

Title: Population Fisher Information Matrix
Description: Evaluate or optimize designs for nonlinear mixed effects models using the Fisher Information matrix. Methods used in the package refer to Mentré F, Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E, Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S, Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F, Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.
Author: France Mentre [aut], Romain Leroux [aut, cre], Jeremy Seurat [aut], Lucie Fayette [aut], Emmanuelle Comets [ctb], Sylvie Retout [ctb]
Maintainer: Romain Leroux <romain.leroux@inserm.fr>

Diff between PFIM versions 6.0.2 dated 2023-11-24 and 6.0.3 dated 2024-03-23

 PFIM-6.0.2/PFIM/man/plot.Rd                                                  |only
 PFIM-6.0.2/PFIM/vignettes/Example02_EvaluationPopFIM_files                   |only
 PFIM-6.0.3/PFIM/DESCRIPTION                                                  |   10 
 PFIM-6.0.3/PFIM/MD5                                                          |  553 ++++------
 PFIM-6.0.3/PFIM/NAMESPACE                                                    |    5 
 PFIM-6.0.3/PFIM/R/Design.R                                                   |   44 
 PFIM-6.0.3/PFIM/R/Evaluation.R                                               |  207 +++
 PFIM-6.0.3/PFIM/R/FedorovWynnAlgorithm.R                                     |  138 ++
 PFIM-6.0.3/PFIM/R/Fim.R                                                      |   93 -
 PFIM-6.0.3/PFIM/R/GenericMethods.R                                           |  106 +
 PFIM-6.0.3/PFIM/R/LibraryOfPKModels.R                                        |   96 -
 PFIM-6.0.3/PFIM/R/Model.R                                                    |    4 
 PFIM-6.0.3/PFIM/R/MultiplicativeAlgorithm.R                                  |   56 -
 PFIM-6.0.3/PFIM/R/Optimization.R                                             |  201 +++
 PFIM-6.0.3/PFIM/R/OptimizationAlgorithm.R                                    |   69 +
 PFIM-6.0.3/PFIM/R/PFIM-package.R                                             |   11 
 PFIM-6.0.3/PFIM/R/PFIMProject.R                                              |    1 
 PFIM-6.0.3/PFIM/R/PlotEvaluation.R                                           |  114 +-
 PFIM-6.0.3/PFIM/build/partial.rdb                                            |binary
 PFIM-6.0.3/PFIM/build/vignette.rds                                           |binary
 PFIM-6.0.3/PFIM/inst/doc/Example01.R                                         |  279 +++--
 PFIM-6.0.3/PFIM/inst/doc/Example01.Rmd                                       |  309 +++--
 PFIM-6.0.3/PFIM/inst/doc/Example01.html                                      |  474 +++++---
 PFIM-6.0.3/PFIM/inst/doc/Example02.R                                         |  160 +-
 PFIM-6.0.3/PFIM/inst/doc/Example02.Rmd                                       |  161 +-
 PFIM-6.0.3/PFIM/inst/doc/Example02.html                                      |  240 ++--
 PFIM-6.0.3/PFIM/man/Administration-class.Rd                                  |   56 -
 PFIM-6.0.3/PFIM/man/AdministrationConstraints-class.Rd                       |   52 
 PFIM-6.0.3/PFIM/man/BayesianFim-class.Rd                                     |   22 
 PFIM-6.0.3/PFIM/man/Combined1-class.Rd                                       |   54 
 PFIM-6.0.3/PFIM/man/Constant-class.Rd                                        |   52 
 PFIM-6.0.3/PFIM/man/Design-class.Rd                                          |   56 -
 PFIM-6.0.3/PFIM/man/Distribution-class.Rd                                    |   46 
 PFIM-6.0.3/PFIM/man/EvaluateArm.Rd                                           |   52 
 PFIM-6.0.3/PFIM/man/EvaluateDesign.Rd                                        |   48 
 PFIM-6.0.3/PFIM/man/EvaluateErrorModelDerivatives.Rd                         |   44 
 PFIM-6.0.3/PFIM/man/EvaluateFisherMatrix.Rd                                  |   70 -
 PFIM-6.0.3/PFIM/man/EvaluateModel.Rd                                         |   94 -
 PFIM-6.0.3/PFIM/man/EvaluateVarianceFIM.Rd                                   |   62 -
 PFIM-6.0.3/PFIM/man/EvaluateVarianceModel.Rd                                 |   48 
 PFIM-6.0.3/PFIM/man/Evaluation-class.Rd                                      |   60 -
 PFIM-6.0.3/PFIM/man/FedorovWynnAlgorithm-class.Rd                            |   62 -
 PFIM-6.0.3/PFIM/man/FedorovWynnAlgorithm_Rcpp.Rd                             |   98 -
 PFIM-6.0.3/PFIM/man/Fim-class.Rd                                             |   54 
 PFIM-6.0.3/PFIM/man/IndividualFim-class.Rd                                   |   22 
 PFIM-6.0.3/PFIM/man/LibraryOfModels-class.Rd                                 |   48 
 PFIM-6.0.3/PFIM/man/LibraryOfPDModels.Rd                                     |   22 
 PFIM-6.0.3/PFIM/man/LibraryOfPKModels.Rd                                     |   22 
 PFIM-6.0.3/PFIM/man/LibraryOfPKPDModels-class.Rd                             |   22 
 PFIM-6.0.3/PFIM/man/LogNormal-class.Rd                                       |   22 
 PFIM-6.0.3/PFIM/man/Model-class.Rd                                           |   64 -
 PFIM-6.0.3/PFIM/man/ModelAnalytic-class.Rd                                   |   22 
 PFIM-6.0.3/PFIM/man/ModelAnalyticBolus-class.Rd                              |   22 
 PFIM-6.0.3/PFIM/man/ModelAnalyticBolusSteadyState-class.Rd                   |   22 
 PFIM-6.0.3/PFIM/man/ModelAnalyticInfusion-class.Rd                           |   22 
 PFIM-6.0.3/PFIM/man/ModelAnalyticInfusionSteadyState-class.Rd                |   22 
 PFIM-6.0.3/PFIM/man/ModelAnalyticSteadyState-class.Rd                        |   22 
 PFIM-6.0.3/PFIM/man/ModelBolus-class.Rd                                      |   20 
 PFIM-6.0.3/PFIM/man/ModelError-class.Rd                                      |   20 
 PFIM-6.0.3/PFIM/man/ModelInfusion-class.Rd                                   |   20 
 PFIM-6.0.3/PFIM/man/ModelODE-class.Rd                                        |   22 
 PFIM-6.0.3/PFIM/man/ModelODEBolus-class.Rd                                   |   22 
 PFIM-6.0.3/PFIM/man/ModelODEDoseInEquations-class.Rd                         |   22 
 PFIM-6.0.3/PFIM/man/ModelODEDoseNotInEquations-class.Rd                      |   20 
 PFIM-6.0.3/PFIM/man/ModelODEInfusion-class.Rd                                |   22 
 PFIM-6.0.3/PFIM/man/ModelODEInfusionDoseInEquations-class.Rd                 |   22 
 PFIM-6.0.3/PFIM/man/ModelParameter-class.Rd                                  |   52 
 PFIM-6.0.3/PFIM/man/MultiplicativeAlgorithm-class.Rd                         |   58 -
 PFIM-6.0.3/PFIM/man/MultiplicativeAlgorithm_Rcpp.Rd                          |   74 -
 PFIM-6.0.3/PFIM/man/Normal-class.Rd                                          |   22 
 PFIM-6.0.3/PFIM/man/Optimization-class.Rd                                    |   72 -
 PFIM-6.0.3/PFIM/man/OptimizationAlgorithm-class.Rd                           |   48 
 PFIM-6.0.3/PFIM/man/PFIM-package.Rd                                          |   15 
 PFIM-6.0.3/PFIM/man/PFIMProject-class.Rd                                     |   48 
 PFIM-6.0.3/PFIM/man/PGBOAlgorithm-class.Rd                                   |   70 -
 PFIM-6.0.3/PFIM/man/PSOAlgorithm-class.Rd                                    |   60 -
 PFIM-6.0.3/PFIM/man/PlotEvaluation-class.Rd                                  |   22 
 PFIM-6.0.3/PFIM/man/PopulationFim-class.Rd                                   |   22 
 PFIM-6.0.3/PFIM/man/Proportional-class.Rd                                    |   52 
 PFIM-6.0.3/PFIM/man/Report.Rd                                                |   58 -
 PFIM-6.0.3/PFIM/man/SamplingTimeConstraints-class.Rd                         |   58 -
 PFIM-6.0.3/PFIM/man/SamplingTimes-class.Rd                                   |   48 
 PFIM-6.0.3/PFIM/man/SimplexAlgorithm-class.Rd                                |   56 -
 PFIM-6.0.3/PFIM/man/addModel.Rd                                              |   44 
 PFIM-6.0.3/PFIM/man/addModels.Rd                                             |   44 
 PFIM-6.0.3/PFIM/man/checkSamplingTimeConstraintsForContinuousOptimization.Rd |   76 -
 PFIM-6.0.3/PFIM/man/checkValiditySamplingConstraint.Rd                       |   40 
 PFIM-6.0.3/PFIM/man/convertPKModelAnalyticToPKModelODE.Rd                    |   54 
 PFIM-6.0.3/PFIM/man/defineModel.Rd                                           |   44 
 PFIM-6.0.3/PFIM/man/defineModelFromLibraryOfModels.Rd                        |   44 
 PFIM-6.0.3/PFIM/man/defineModelType.Rd                                       |   44 
 PFIM-6.0.3/PFIM/man/defineModelUserDefined.Rd                                |   44 
 PFIM-6.0.3/PFIM/man/definePKModel.Rd                                         |   80 -
 PFIM-6.0.3/PFIM/man/definePKPDModel.Rd                                       |  114 +-
 PFIM-6.0.3/PFIM/man/fisher.simplex.Rd                                        |   42 
 PFIM-6.0.3/PFIM/man/fun.amoeba.Rd                                            |   64 -
 PFIM-6.0.3/PFIM/man/generateFimsFromConstraints.Rd                           |   44 
 PFIM-6.0.3/PFIM/man/generateReportEvaluation.Rd                              |  118 +-
 PFIM-6.0.3/PFIM/man/generateReportOptimization.Rd                            |  156 +-
 PFIM-6.0.3/PFIM/man/generateSamplingsFromSamplingConstraints.Rd              |   40 
 PFIM-6.0.3/PFIM/man/generateTables.Rd                                        |   50 
 PFIM-6.0.3/PFIM/man/getAdjustedGradient.Rd                                   |   50 
 PFIM-6.0.3/PFIM/man/getAdministration.Rd                                     |   44 
 PFIM-6.0.3/PFIM/man/getAdministrationConstraint.Rd                           |   44 
 PFIM-6.0.3/PFIM/man/getAdministrations.Rd                                    |   42 
 PFIM-6.0.3/PFIM/man/getAdministrationsConstraints.Rd                         |   40 
 PFIM-6.0.3/PFIM/man/getArms.Rd                                               |   48 
 PFIM-6.0.3/PFIM/man/getColumnAndParametersNamesFIM.Rd                        |   58 -
 PFIM-6.0.3/PFIM/man/getColumnAndParametersNamesFIMInLatex.Rd                 |   58 -
 PFIM-6.0.3/PFIM/man/getConditionNumberFixedEffects.Rd                        |   40 
 PFIM-6.0.3/PFIM/man/getConditionNumberVarianceEffects.Rd                     |   46 
 PFIM-6.0.3/PFIM/man/getContent.Rd                                            |   40 
 PFIM-6.0.3/PFIM/man/getCorrelationMatrix.Rd                                  |    9 
 PFIM-6.0.3/PFIM/man/getDataFrameResults.Rd                                   |   13 
 PFIM-6.0.3/PFIM/man/getDcriterion.Rd                                         |    9 
 PFIM-6.0.3/PFIM/man/getDelta.Rd                                              |   40 
 PFIM-6.0.3/PFIM/man/getDerivatives.Rd                                        |   40 
 PFIM-6.0.3/PFIM/man/getDescription.Rd                                        |   40 
 PFIM-6.0.3/PFIM/man/getDesigns.Rd                                            |   40 
 PFIM-6.0.3/PFIM/man/getDeterminant.Rd                                        |    9 
 PFIM-6.0.3/PFIM/man/getDistribution.Rd                                       |   40 
 PFIM-6.0.3/PFIM/man/getDose.Rd                                               |   46 
 PFIM-6.0.3/PFIM/man/getEigenValues.Rd                                        |   40 
 PFIM-6.0.3/PFIM/man/getElementaryProtocols.Rd                                |   46 
 PFIM-6.0.3/PFIM/man/getEquation.Rd                                           |   40 
 PFIM-6.0.3/PFIM/man/getEquations.Rd                                          |   40 
 PFIM-6.0.3/PFIM/man/getEquationsAfterInfusion.Rd                             |   40 
 PFIM-6.0.3/PFIM/man/getEquationsDuringInfusion.Rd                            |   40 
 PFIM-6.0.3/PFIM/man/getEvaluationFIMResults.Rd                               |   40 
 PFIM-6.0.3/PFIM/man/getEvaluationInitialDesignResults.Rd                     |   40 
 PFIM-6.0.3/PFIM/man/getFim.Rd                                                |    4 
 PFIM-6.0.3/PFIM/man/getFisherMatrix.Rd                                       |    9 
 PFIM-6.0.3/PFIM/man/getFixedEffects.Rd                                       |   40 
 PFIM-6.0.3/PFIM/man/getFixedMu.Rd                                            |   40 
 PFIM-6.0.3/PFIM/man/getFixedOmega.Rd                                         |   40 
 PFIM-6.0.3/PFIM/man/getFixedParameters.Rd                                    |   40 
 PFIM-6.0.3/PFIM/man/getFixedTimes.Rd                                         |   40 
 PFIM-6.0.3/PFIM/man/getInitialConditions.Rd                                  |   46 
 PFIM-6.0.3/PFIM/man/getIterationAndCriteria.Rd                               |   40 
 PFIM-6.0.3/PFIM/man/getLambda.Rd                                             |   40 
 PFIM-6.0.3/PFIM/man/getLibraryPDModels.Rd                                    |   40 
 PFIM-6.0.3/PFIM/man/getLibraryPKModels.Rd                                    |   40 
 PFIM-6.0.3/PFIM/man/getMinSampling.Rd                                        |   40 
 PFIM-6.0.3/PFIM/man/getModel.Rd                                              |   40 
 PFIM-6.0.3/PFIM/man/getModelEquations.Rd                                     |   40 
 PFIM-6.0.3/PFIM/man/getModelError.Rd                                         |   46 
 PFIM-6.0.3/PFIM/man/getModelErrorParametersValues.Rd                         |   40 
 PFIM-6.0.3/PFIM/man/getModelFromLibrary.Rd                                   |   40 
 PFIM-6.0.3/PFIM/man/getModelParameters.Rd                                    |   40 
 PFIM-6.0.3/PFIM/man/getModelParametersValues.Rd                              |   40 
 PFIM-6.0.3/PFIM/man/getMu.Rd                                                 |   48 
 PFIM-6.0.3/PFIM/man/getName.Rd                                               |   72 -
 PFIM-6.0.3/PFIM/man/getNames.Rd                                              |   40 
 PFIM-6.0.3/PFIM/man/getNumberOfArms.Rd                                       |   40 
 PFIM-6.0.3/PFIM/man/getNumberOfIterations.Rd                                 |   40 
 PFIM-6.0.3/PFIM/man/getNumberOfParameters.Rd                                 |   40 
 PFIM-6.0.3/PFIM/man/getNumberOfTimesByWindows.Rd                             |   40 
 PFIM-6.0.3/PFIM/man/getNumberOfsamplingsOptimisable.Rd                       |   40 
 PFIM-6.0.3/PFIM/man/getOdeSolverParameters.Rd                                |   46 
 PFIM-6.0.3/PFIM/man/getOmega.Rd                                              |   48 
 PFIM-6.0.3/PFIM/man/getOptimalDesign.Rd                                      |   40 
 PFIM-6.0.3/PFIM/man/getOptimalFrequencies.Rd                                 |only
 PFIM-6.0.3/PFIM/man/getOptimalWeights.Rd                                     |   40 
 PFIM-6.0.3/PFIM/man/getOptimizationResults.Rd                                |   40 
 PFIM-6.0.3/PFIM/man/getOptimizer.Rd                                          |   40 
 PFIM-6.0.3/PFIM/man/getOptimizerParameters.Rd                                |   40 
 PFIM-6.0.3/PFIM/man/getOutcome.Rd                                            |   68 -
 PFIM-6.0.3/PFIM/man/getOutcomes.Rd                                           |   46 
 PFIM-6.0.3/PFIM/man/getOutcomesEvaluation.Rd                                 |   40 
 PFIM-6.0.3/PFIM/man/getOutcomesForEvaluation.Rd                              |   40 
 PFIM-6.0.3/PFIM/man/getOutcomesGradient.Rd                                   |   40 
 PFIM-6.0.3/PFIM/man/getPDModel.Rd                                            |   44 
 PFIM-6.0.3/PFIM/man/getPKModel.Rd                                            |   44 
 PFIM-6.0.3/PFIM/man/getPKPDModel.Rd                                          |   44 
 PFIM-6.0.3/PFIM/man/getParameters.Rd                                         |   54 
 PFIM-6.0.3/PFIM/man/getPlotOptions.Rd                                        |   38 
 PFIM-6.0.3/PFIM/man/getProportionsOfSubjects.Rd                              |   40 
 PFIM-6.0.3/PFIM/man/getRSE.Rd                                                |   10 
 PFIM-6.0.3/PFIM/man/getSE.Rd                                                 |    9 
 PFIM-6.0.3/PFIM/man/getSamplingTime.Rd                                       |   44 
 PFIM-6.0.3/PFIM/man/getSamplingTimeConstraint.Rd                             |   44 
 PFIM-6.0.3/PFIM/man/getSamplingTimes.Rd                                      |   40 
 PFIM-6.0.3/PFIM/man/getSamplingTimesConstraints.Rd                           |   40 
 PFIM-6.0.3/PFIM/man/getSamplings.Rd                                          |   48 
 PFIM-6.0.3/PFIM/man/getSamplingsWindows.Rd                                   |   40 
 PFIM-6.0.3/PFIM/man/getShrinkage.Rd                                          |   10 
 PFIM-6.0.3/PFIM/man/getSigmaInter.Rd                                         |   40 
 PFIM-6.0.3/PFIM/man/getSigmaSlope.Rd                                         |   40 
 PFIM-6.0.3/PFIM/man/getSize.Rd                                               |   46 
 PFIM-6.0.3/PFIM/man/getTau.Rd                                                |   40 
 PFIM-6.0.3/PFIM/man/getTimeDose.Rd                                           |   40 
 PFIM-6.0.3/PFIM/man/getTinf.Rd                                               |   40 
 PFIM-6.0.3/PFIM/man/getVarianceEffects.Rd                                    |   40 
 PFIM-6.0.3/PFIM/man/getcError.Rd                                             |   40 
 PFIM-6.0.3/PFIM/man/isDoseInEquations.Rd                                     |   40 
 PFIM-6.0.3/PFIM/man/isModelAnalytic.Rd                                       |   40 
 PFIM-6.0.3/PFIM/man/isModelBolus.Rd                                          |   44 
 PFIM-6.0.3/PFIM/man/isModelInfusion.Rd                                       |   40 
 PFIM-6.0.3/PFIM/man/isModelODE.Rd                                            |   40 
 PFIM-6.0.3/PFIM/man/isModelSteadyState.Rd                                    |   40 
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Package WeightIt updated to version 1.0.0 with previous version 0.14.2 dated 2023-05-23

Title: Weighting for Covariate Balance in Observational Studies
Description: Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include propensity score weighting using generalized linear models, gradient boosting machines, the covariate balancing propensity score algorithm, inverse probability tilting, Bayesian additive regression trees, and SuperLearner, and directly estimating balancing weights using entropy balancing, energy balancing, and optimization-based weights. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.
Author: Noah Greifer [aut, cre]
Maintainer: Noah Greifer <noah.greifer@gmail.com>

Diff between WeightIt versions 0.14.2 dated 2023-05-23 and 1.0.0 dated 2024-03-23

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Package TukeyGH77 updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-19

Title: Tukey g-&-h Distribution
Description: Functions for density, cumulative density, quantile and simulation of Tukey g-and-h (1977) distributions. The quantile-based transformation (Hoaglin 1985 <doi:10.1002/9781118150702.ch11>) and its reverse transformation, as well as the letter-value based estimates (Hoaglin 1985), are also provided.
Author: Tingting Zhan [aut, cre, cph], Inna Chervoneva [ctb]
Maintainer: Tingting Zhan <tingtingzhan@gmail.com>

Diff between TukeyGH77 versions 0.1.0 dated 2024-03-19 and 0.1.1 dated 2024-03-23

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New package tradepolicy with initial version 0.7.0
Package: tradepolicy
Title: Replication of 'An Advanced Guide To Trade Policy Analysis'
Version: 0.7.0
Description: Datasets from Yotov, et al. (2016, ISBN:978-92-870-4367-2) "An Advanced Guide to Trade Policy Analysis" and functions to report regression summaries with clustered robust standard errors.
URL: https://github.com/pachadotdev/tradepolicy/
BugReports: https://github.com/pachadotdev/tradepolicy/issues/
License: CC BY 4.0
Encoding: UTF-8
Imports: magrittr, ggplot2, dplyr, tidyr, purrr, fixest (>= 0.10.4), sandwich, broom, msm, knitr, Formula
Suggests: testthat, covr
Depends: R (>= 4.0)
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-22 17:18:37 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre] , Alexey Kravchenko [ths], Constanza Prado [ths], Yoto Yotov [ths], The United Nations [dtc, cph, fnd]
Maintainer: Mauricio Vargas Sepulveda <m.sepulveda@mail.utoronto.ca>
Repository: CRAN
Date/Publication: 2024-03-23 11:30:02 UTC

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New package tensorMiss with initial version 0.1.1
Package: tensorMiss
Title: Handle Missing Tensor Data with C++ Integration
Version: 0.1.1
Date: 2024-03-21
Author: Zetai Cen [aut, cre]
Maintainer: Zetai Cen <z.cen@lse.ac.uk>
Description: To handle higher-order tensor data. See Kolda and Bader (2009) <doi:10.1137/07070111X> for details on tensor. While existing packages on tensor data extend the base 'array' class to some data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.
License: GPL-3
Imports: Rcpp (>= 1.0.11), RcppEigen, rTensor, stats
Encoding: UTF-8
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2024-03-22 20:22:23 UTC; pc
Repository: CRAN
Date/Publication: 2024-03-23 11:30:05 UTC

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New package DTwrappers2 with initial version 0.0.2
Package: DTwrappers2
Title: Extensions of 'DTwrappers'
Version: 0.0.2
Depends: R (>= 3.1.0)
Description: Offers functionality which provides methods for data analyses and cleaning that can be flexibly applied across multiple variables and in groups. These include cleaning accidental text, contingent calculations, counting missing data, and building summarizations of the data.
License: GPL-3
Encoding: UTF-8
Suggests: knitr, rmarkdown, covr, devtools, markdown, testthat (>= 2.1.0)
VignetteBuilder: knitr
Imports: data.table, DTwrappers
NeedsCompilation: no
Packaged: 2024-03-22 20:12:05 UTC; Many Bugs
Author: David Shilane [aut], Mayur Bansal [ctb], Srivastav Budugutta [ctb, cre]
Maintainer: Srivastav Budugutta <sb4788@columbia.edu>
Repository: CRAN
Date/Publication: 2024-03-23 11:40:02 UTC

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New package BEND with initial version 1.0
Package: BEND
Title: Bayesian Estimation of Nonlinear Data (BEND)
Version: 1.0
Description: Provides a set of models to estimate nonlinear longitudinal data using Bayesian estimation methods. These models include the: 1) Bayesian Piecewise Random Effects Model (Bayes_PREM()) which estimates a piecewise random effects (mixture) model for a given number of latent classes and a latent number of possible changepoints in each class, and can incorporate class and outcome predictive covariates (see Lamm (2022) <https://hdl.handle.net/11299/252533> and Lock et al., (2018) <doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects Model (Bayes_CREM()) which estimates a linear, quadratic, exponential, or piecewise crossed random effects models where individuals are changing groups over time (e.g., students and schools; see Rohloff et al., (2024) <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate Piecewise Random Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random effects model to jointly model two related outcomes (e.g., reading and [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
URL: https://github.com/crohlo/BEND
BugReports: https://github.com/crohlo/BEND/issues
Depends: R (>= 3.6.3)
Imports: coda (>= 0.19.4), label.switching (>= 1.8), rjags (>= 4.14)
LazyData: true
NeedsCompilation: no
Packaged: 2024-03-22 21:31:23 UTC; CorissaW
Author: Corissa T. Rohloff [aut, cre] , Rik Lamm [aut] , Yadira Peralta [aut] , Nidhi Kohli [aut] , Eric F. Lock [aut]
Maintainer: Corissa T. Rohloff <corissa.wurth@gmail.com>
Repository: CRAN
Date/Publication: 2024-03-23 11:42:42 UTC

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New package vartest with initial version 1.0
Package: vartest
Title: Tests for Variance Homogeneity
Version: 1.0
Date: 2024-03-22
Depends: R (>= 3.2.0)
Imports: stats, SuppDists, psych
Author: Gozde Cosar [aut], Osman Dag [aut, cre]
Maintainer: Osman Dag <osman.dag@outlook.com>
Description: Performs 20 omnibus tests for testing the composite hypothesis of variance homogeneity.
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2024-03-22 13:59:09 UTC; osmandag
Repository: CRAN
Date/Publication: 2024-03-23 10:50:03 UTC

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New package stylest2 with initial version 0.1
Package: stylest2
Title: Estimating Speakers of Texts
Version: 0.1
Description: Estimates the authors or speakers of texts. Methods developed in Huang, Perry, and Spirling (2020) <doi:10.1017/pan.2019.49>. The model is built on a Bayesian framework in which the distinctiveness of each speaker is defined by how different, on average, the speaker's terms are to everyone else in the corpus of texts. An optional cross-validation method is implemented to select the subset of terms that generate the most accurate speaker predictions. Once a set of terms is selected, the model can be estimated. Speaker distinctiveness and term influence can be recovered from parameters in the model using package functions. Once fitted, the model can be used to predict authorship of new texts.
Depends: R (>= 4.2),
License: GPL-3
Imports: Matrix, quanteda
Suggests: devtools, knitr, rmarkdown, testthat
Encoding: UTF-8
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2024-03-22 15:51:08 UTC; christianbaehr
Author: Christian Baehr [aut, cre, cph], Arthur Spirling [aut, cph], Leslie Huang [aut]
Maintainer: Christian Baehr <cbaehr@princeton.edu>
Repository: CRAN
Date/Publication: 2024-03-23 10:50:06 UTC

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New package modsem with initial version 0.1.0
Package: modsem
Title: Latent Interaction (and Moderation) Analysis in Structural Equation Models (SEM)
Version: 0.1.0
Maintainer: Kjell Solem Slupphaug <slupphaugkjell@gmail.com>
Description: Estimation of interaction (i.e., moderation) effects between latent variables in structural equation models (SEM). The supported methods are: The constrained approach (Algina & Moulder, 2001). The unconstrained approach (Marsh et al., 2004). The residual centering approach (Little et al., 2006). The double centering approach (Lin et al., 2010). The latent moderated structural equations (LMS) approach (Klein & Moosbrugger, 2000). The quasi-maximum likelihood (QML) approach (Klein & Muthén, 2007) The constrained- unconstrained, residual- and double centering- approaches are estimated via 'lavaan' (Rosseel, 2012), whilst the LMS- and QML- approaches are estimated via 'nlsem' (Umbach et al., 2017). Alternatively model can be estimated via 'Mplus' (Muthén & Muthén, 1998-2017). References: Algina, J., & Moulder, B. C. (2001). <doi:10.1207/S15328007SEM0801_3>. "A note on estimating the Jöreskog-Yang model for latent variable interaction using 'LISREL' 8.3." Klein, A. [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp
Imports: Rcpp, purrr, stringr, lavaan, rlang, MplusAutomation, nlsem, R6, dplyr
Depends: R (>= 3.50)
URL: https://github.com/Kss2k/modsem
NeedsCompilation: yes
Packaged: 2024-03-22 16:18:52 UTC; kjell
Author: Kjell Solem Slupphaug [aut, cre]
Repository: CRAN
Date/Publication: 2024-03-23 11:00:02 UTC

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New package CoDaImpact with initial version 0.1.0
Package: CoDaImpact
Title: Interpreting CoDa Regression Models
Version: 0.1.0
Description: Provides methods for interpreting CoDa (Compositional Data) regression models along the lines of "Pairwise share ratio interpretations of compositional regression models" (Dargel and Thomas-Agnan 2024) <doi:10.1016/j.csda.2024.107945>. The new methods include variation scenarios, elasticities, elasticity differences and share ratio elasticities. These tools are independent of log-ratio transformations and allow an interpretation in the original space of shares. 'CoDaImpact' is designed to be used with the 'compositions' package and its ecosystem.
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/LukeCe/CoDaImpact, https://lukece.github.io/CoDaImpact/
BugReports: https://github.com/LukeCe/CoDaImpact/issues
Imports: methods, compositions
Depends: R (>= 2.10)
LazyData: true
Suggests: rmarkdown, knitr, sf, tinytest
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-03-22 11:22:01 UTC; lukece
Author: Lukas Dargel [aut, cre] , Christine Thomas-Agnan [aut] , Rodrigue Nasr [ctb], Sijia Pan [ctb], Iban Rendo Barreiro [ctb], Shuyao Li [ctb]
Maintainer: Lukas Dargel <lukas.dargel@mailbox.org>
Repository: CRAN
Date/Publication: 2024-03-23 10:30:02 UTC

More information about CoDaImpact at CRAN
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