Wed, 23 Oct 2024

Package ggfun updated to version 0.1.7 with previous version 0.1.6 dated 2024-08-28

Title: Miscellaneous Functions for 'ggplot2'
Description: Useful functions and utilities for 'ggplot' object (e.g., geometric layers, themes, and utilities to edit the object).
Author: Guangchuang Yu [aut, cre, cph] , Shuangbin Xu [aut]
Maintainer: Guangchuang Yu <guangchuangyu@gmail.com>

Diff between ggfun versions 0.1.6 dated 2024-08-28 and 0.1.7 dated 2024-10-23

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Package despair updated to version 0.1.1 with previous version 0.1.0 dated 2024-08-22

Title: Motivational Quotes and Shakespearean Bard–bits for Personal Projects
Description: Generate motivational quotes and Shakespearean word combinations (bard–bits) that a user can consider for their personal projects. Each of the package functions takes two arguments, cat which default to any, and a a numeric or character seed to ensure reproducible results.
Author: JP Monteagudo [aut, cre, cph]
Maintainer: JP Monteagudo <jpmonteagudo2014@gmail.com>

Diff between despair versions 0.1.0 dated 2024-08-22 and 0.1.1 dated 2024-10-23

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Package plmmr updated to version 4.1.0 with previous version 4.0.0 dated 2024-10-11

Title: Penalized Linear Mixed Models for Correlated Data
Description: Fits penalized linear mixed models that correct for unobserved confounding factors. 'plmmr' infers and corrects for the presence of unobserved confounding effects such as population stratification and environmental heterogeneity. It then fits a linear model via penalized maximum likelihood. Originally designed for the multivariate analysis of single nucleotide polymorphisms (SNPs) measured in a genome-wide association study (GWAS), 'plmmr' eliminates the need for subpopulation-specific analyses and post-analysis p-value adjustments. Functions for the appropriate processing of 'PLINK' files are also supplied. For examples, see the package homepage. <https://pbreheny.github.io/plmmr/>.
Author: Tabitha K. Peter [aut] , Anna C. Reisetter [aut] , Patrick J. Breheny [aut, cre] , Yujing Lu [aut]
Maintainer: Patrick J. Breheny <patrick-breheny@uiowa.edu>

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Package MLE updated to version 1.2 with previous version 1.1 dated 2024-09-10

Title: Maximum Likelihood Estimation of Various Univariate and Multivariate Distributions
Description: Several functions for maximum likelihood estimation of various univariate and multivariate distributions. The list includes more than 100 functions for univariate continuous and discrete distributions, distributions that lie on the real line, the positive line, interval restricted, circular distributions. Further, multivariate continuous and discrete distributions, distributions for compositional and directional data, etc. Some references include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson, Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E. (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.
Author: Michail Tsagris [aut, cre], Sofia Piperaki [aut], Muhammad Imran [ctb]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package distrMod updated to version 2.9.6 with previous version 2.9.4 dated 2024-09-03

Title: Object Oriented Implementation of Probability Models
Description: Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.
Author: Matthias Kohl [aut, cph], Peter Ruckdeschel [cre, cph], R Core Team [ctb, cph]
Maintainer: Peter Ruckdeschel <peter.ruckdeschel@uni-oldenburg.de>

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Package BTSPAS updated to version 2024.11.1 with previous version 2024.5.9 dated 2024-05-10

Title: Bayesian Time-Stratified Population Analysis
Description: Provides advanced Bayesian methods to estimate abundance and run-timing from temporally-stratified Petersen mark-recapture experiments. Methods include hierarchical modelling of the capture probabilities and spline smoothing of the daily run size. Theory described in Bonner and Schwarz (2011) <doi:10.1111/j.1541-0420.2011.01599.x>.
Author: Carl J Schwarz [aut, cre], Simon J Bonner [aut]
Maintainer: Carl J Schwarz <cschwarz.stat.sfu.ca@gmail.com>

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Package REDCapTidieR updated to version 1.2.0 with previous version 1.1.1 dated 2024-04-16

Title: Extract 'REDCap' Databases into Tidy 'Tibble's
Description: Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap' repeat instruments and event arms.
Author: Richard Hanna [aut, cre] , Stephan Kadauke [aut] , Ezra Porter [aut]
Maintainer: Richard Hanna <richardshanna91@gmail.com>

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Package MPSEM updated to version 0.5-1 with previous version 0.4-4 dated 2024-09-04

Title: Modelling Phylogenetic Signals using Eigenvector Maps
Description: Computational tools to represent phylogenetic signals using adapted eigenvector maps.
Author: Guillaume Guenard [aut, cre] , Pierre Legendre [ctb]
Maintainer: Guillaume Guenard <guillaume.guenard@umontreal.ca>

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Package bigergm updated to version 1.2.3 with previous version 1.2.2 dated 2024-10-03

Title: Fit, Simulate, and Diagnose Hierarchical Exponential-Family Models for Big Networks
Description: A toolbox for analyzing and simulating large networks based on hierarchical exponential-family random graph models (HERGMs).'bigergm' implements the estimation for large networks efficiently building on the 'lighthergm' and 'hergm' packages. Moreover, the package contains tools for simulating networks with local dependence to assess the goodness-of-fit.
Author: Cornelius Fritz [aut, cre], Michael Schweinberger [aut], Shota Komatsu [aut], Juan Nelson Martinez Dahbura [aut], Takanori Nishida [aut], Angelo Mele [aut]
Maintainer: Cornelius Fritz <corneliusfritz2010@gmail.com>

Diff between bigergm versions 1.2.2 dated 2024-10-03 and 1.2.3 dated 2024-10-23

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Package humanleague updated to version 2.3.2 with previous version 2.3.1 dated 2024-02-24

Title: Synthetic Population Generator
Description: Generates high-entropy integer synthetic populations from marginal and (optionally) seed data using quasirandom sampling, in arbitrary dimensionality (Smith, Lovelace and Birkin (2017) <doi:10.18564/jasss.3550>). The package also provides an implementation of the Iterative Proportional Fitting (IPF) algorithm (Zaloznik (2011) <doi:10.13140/2.1.2480.9923>).
Author: Andrew Smith [aut, cre], Steven Johnson [ctb] , Massachusetts Institute of Technology [cph] , John Burkhardt [ctb, cph] , G Bhattacharjee [ctb]
Maintainer: Andrew Smith <andrew@friarswood.net>

Diff between humanleague versions 2.3.1 dated 2024-02-24 and 2.3.2 dated 2024-10-23

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Package rminer updated to version 1.4.7 with previous version 1.4.6 dated 2020-08-28

Title: Data Mining Classification and Regression Methods
Description: Facilitates the use of data mining algorithms in classification and regression (including time series forecasting) tasks by presenting a short and coherent set of functions. Versions: 1.4.7 improved Importance function and examples, minor error fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and ensembles, via improved fit(), mining() and mparheuristic() functions, and new categorical preprocessing, via improved delevels() function; 1.4.3 new metrics (e.g., macro precision, explained variance), new "lssvm" model and improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new tutorial and more robust version; 1.4 - new classification and regression models, with a total of 14 classification and 15 regression methods, including: Decision Trees, Neural Networks, Support Vector Machines, Random Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and regression metrics; [...truncated...]
Author: Paulo Cortez [aut, cre]
Maintainer: Paulo Cortez <pcortez@dsi.uminho.pt>

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Package mrds updated to version 3.0.0 with previous version 2.3.0 dated 2023-12-18

Title: Mark-Recapture Distance Sampling
Description: Animal abundance estimation via conventional, multiple covariate and mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting is performed via maximum likelihood. Also included are diagnostics and plotting for fitted detection functions. Abundance estimation is via a Horvitz-Thompson-like estimator.
Author: Laura Marshall [cre], Jeff Laake [aut], David Miller [aut], Felix Petersma [aut], Len Thomas [ctb], David Borchers [ctb], Jon Bishop [ctb], Jonah McArthur [ctb], Eric Rexstad [rev]
Maintainer: Laura Marshall <lhm@st-andrews.ac.uk>

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Package kml3d updated to version 2.5.0 with previous version 2.4.6.1 dated 2023-12-13

Title: K-Means for Joint Longitudinal Data
Description: An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb], Jean-Baptiste Pingault [ctb]
Maintainer: Christophe Genolini <christophe.genolini@free.fr>

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Package kml updated to version 2.5.0 with previous version 2.4.6.1 dated 2023-12-13

Title: K-Means for Longitudinal Data
Description: An implementation of k-means specifically design to cluster longitudinal data. It provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC, ...) and propose a graphical interface for choosing the 'best' number of clusters.
Author: Christophe Genolini [cre, aut], Bruno Falissard [ctb], Patrice Kiener [ctb]
Maintainer: Christophe Genolini <christophe.genolini@free.fr>

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Package BeeGUTS updated to version 1.3.0 with previous version 1.1.3 dated 2023-09-18

Title: General Unified Threshold Model of Survival for Bees using Bayesian Inference
Description: Tools to calibrate, validate, and make predictions with the General Unified Threshold model of Survival adapted for Bee species. The model is presented in the publication from Baas, J., Goussen, B., Miles, M., Preuss, T.G., Roessing, I. (2022) <doi:10.1002/etc.5423> and Baas, J., Goussen, B., Taenzler, V., Roeben, V., Miles, M., Preuss, T.G., van den Berg, S., Roessink, I. (2024) <doi:10.1002/etc.5871>, and is based on the GUTS framework Jager, T., Albert, C., Preuss, T.G. and Ashauer, R. (2011) <doi:10.1021/es103092a>. The authors are grateful to Bayer A.G. for its financial support.
Author: Benoit Goussen [aut, cre] , Liubov Zakharova [ctb], Romoli Carlo [ctb], Bayer AG [cph], ibacon GmbH [cph]
Maintainer: Benoit Goussen <benoit.goussen@ibacon.com>

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More information about BeeGUTS at CRAN
Permanent link

Package rscorecard updated to version 0.30.0 with previous version 0.29.0 dated 2024-08-30

Title: A Method to Download Department of Education College Scorecard Data
Description: A method to download Department of Education College Scorecard data using the public API <https://collegescorecard.ed.gov/data/data-documentation/>. It is based on the 'dplyr' model of piped commands to select and filter data in a single chained function call. An API key from the U.S. Department of Education is required.
Author: Benjamin Skinner [aut, cre]
Maintainer: Benjamin Skinner <bskinner@neh.gov>

Diff between rscorecard versions 0.29.0 dated 2024-08-30 and 0.30.0 dated 2024-10-23

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 NEWS.md       |    4 ++++
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 4 files changed, 10 insertions(+), 6 deletions(-)

More information about rscorecard at CRAN
Permanent link

Package Rlabkey updated to version 3.4.0 with previous version 3.3.0 dated 2024-08-19

Title: Data Exchange Between R and 'LabKey' Server
Description: The 'LabKey' client library for R makes it easy for R users to load live data from a 'LabKey' Server, <https://www.labkey.com/>, into the R environment for analysis, provided users have permissions to read the data. It also enables R users to insert, update, and delete records stored on a 'LabKey' Server, provided they have appropriate permissions to do so.
Author: Peter Hussey [aut], Cory Nathe [cre]
Maintainer: Cory Nathe <cnathe@labkey.com>

Diff between Rlabkey versions 3.3.0 dated 2024-08-19 and 3.4.0 dated 2024-10-23

 DESCRIPTION            |    8 ++++----
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More information about Rlabkey at CRAN
Permanent link

Package PFIM updated to version 6.1 with previous version 6.0.3 dated 2024-03-23

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]
Maintainer: Romain Leroux <romain.leroux@inserm.fr>

Diff between PFIM versions 6.0.3 dated 2024-03-23 and 6.1 dated 2024-10-23

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 PFIM-6.1/PFIM/DESCRIPTION                                                            |   24 
 PFIM-6.1/PFIM/MD5                                                                    |  653 ++++---
 PFIM-6.1/PFIM/NAMESPACE                                                              |   62 
 PFIM-6.1/PFIM/R/Administration.R                                                     |   10 
 PFIM-6.1/PFIM/R/AdministrationConstraints.R                                          |    7 
 PFIM-6.1/PFIM/R/Arm.R                                                                |   99 +
 PFIM-6.1/PFIM/R/Combined1.R                                                          |   11 
 PFIM-6.1/PFIM/R/Constant.R                                                           |   11 
 PFIM-6.1/PFIM/R/Design.R                                                             |  254 +-
 PFIM-6.1/PFIM/R/Distribution.R                                                       |    6 
 PFIM-6.1/PFIM/R/Evaluation.R                                                         |  236 +-
 PFIM-6.1/PFIM/R/FedorovWynnAlgorithm.R                                               |  174 --
 PFIM-6.1/PFIM/R/Fim.R                                                                |   33 
 PFIM-6.1/PFIM/R/GenericMethods.R                                                     |    4 
 PFIM-6.1/PFIM/R/LibraryOfModels.R                                                    |    7 
 PFIM-6.1/PFIM/R/LibraryOfPKModels.R                                                  |  241 +-
 PFIM-6.1/PFIM/R/LibraryOfPKPDModels.R                                                |    5 
 PFIM-6.1/PFIM/R/LogNormal.R                                                          |    6 
 PFIM-6.1/PFIM/R/Model.R                                                              |  141 +
 PFIM-6.1/PFIM/R/ModelAnalytic.R                                                      |  507 ++---
 PFIM-6.1/PFIM/R/ModelAnalyticBolus.R                                                 |   11 
 PFIM-6.1/PFIM/R/ModelAnalyticBolusSteadyState.R                                      |   10 
 PFIM-6.1/PFIM/R/ModelAnalyticInfusion.R                                              |  800 ++++-----
 PFIM-6.1/PFIM/R/ModelAnalyticInfusionSteadyState.R                                   |  812 ++++-----
 PFIM-6.1/PFIM/R/ModelAnalyticSteadyState.R                                           |  515 ++----
 PFIM-6.1/PFIM/R/ModelBolus.R                                                         |   14 
 PFIM-6.1/PFIM/R/ModelError.R                                                         |   11 
 PFIM-6.1/PFIM/R/ModelInfusion.R                                                      |   14 
 PFIM-6.1/PFIM/R/ModelODE.R                                                           |   17 
 PFIM-6.1/PFIM/R/ModelODEBolus.R                                                      |  542 ++----
 PFIM-6.1/PFIM/R/ModelODEDoseInEquations.R                                            |  515 ++----
 PFIM-6.1/PFIM/R/ModelODEDoseNotInEquations.R                                         |  416 ++--
 PFIM-6.1/PFIM/R/ModelODEInfusion.R                                                   |   18 
 PFIM-6.1/PFIM/R/ModelODEInfusionDoseInEquations.R                                    |  432 ++---
 PFIM-6.1/PFIM/R/ModelParameter.R                                                     |    9 
 PFIM-6.1/PFIM/R/MultiplicativeAlgorithm.R                                            |  191 +-
 PFIM-6.1/PFIM/R/Normal.R                                                             |    6 
 PFIM-6.1/PFIM/R/Optimization.R                                                       |  168 -
 PFIM-6.1/PFIM/R/OptimizationAlgorithm.R                                              |   42 
 PFIM-6.1/PFIM/R/PFIM-package.R                                                       |   16 
 PFIM-6.1/PFIM/R/PFIMProject.R                                                        |    9 
 PFIM-6.1/PFIM/R/PGBOAlgorithm.R                                                      |   37 
 PFIM-6.1/PFIM/R/PSOAlgorithm.R                                                       |   38 
 PFIM-6.1/PFIM/R/PlotEvaluation.R                                                     |  170 -
 PFIM-6.1/PFIM/R/PopulationFim.R                                                      |  857 +++++-----
 PFIM-6.1/PFIM/R/Proportional.R                                                       |   11 
 PFIM-6.1/PFIM/R/SamplingTimeConstraints.R                                            |   12 
 PFIM-6.1/PFIM/R/SamplingTimes.R                                                      |    9 
 PFIM-6.1/PFIM/R/SimplexAlgorithm.R                                                   |   12 
 PFIM-6.1/PFIM/build/partial.rdb                                                      |binary
 PFIM-6.1/PFIM/build/vignette.rds                                                     |binary
 PFIM-6.1/PFIM/inst/doc/Example01.R                                                   |   58 
 PFIM-6.1/PFIM/inst/doc/Example01.Rmd                                                 |    8 
 PFIM-6.1/PFIM/inst/doc/Example01.html                                                |  213 +-
 PFIM-6.1/PFIM/inst/doc/Example02.R                                                   |   48 
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 PFIM-6.1/PFIM/man/Administration-class.Rd                                            |   56 
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 PFIM-6.1/PFIM/man/Combined1-class.Rd                                                 |   54 
 PFIM-6.1/PFIM/man/Constant-class.Rd                                                  |   52 
 PFIM-6.1/PFIM/man/Design-class.Rd                                                    |   56 
 PFIM-6.1/PFIM/man/Distribution-class.Rd                                              |   46 
 PFIM-6.1/PFIM/man/EvaluateArm.Rd                                                     |   54 
 PFIM-6.1/PFIM/man/EvaluateDesign.Rd                                                  |   48 
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 PFIM-6.1/PFIM/man/Fim-class.Rd                                                       |   54 
 PFIM-6.1/PFIM/man/IndividualFim-class.Rd                                             |   22 
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 PFIM-6.1/PFIM/man/LibraryOfPKPDModels-class.Rd                                       |   22 
 PFIM-6.1/PFIM/man/LogNormal-class.Rd                                                 |   22 
 PFIM-6.1/PFIM/man/Model-class.Rd                                                     |   64 
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 PFIM-6.1/PFIM/man/ModelBolus-class.Rd                                                |   20 
 PFIM-6.1/PFIM/man/ModelError-class.Rd                                                |   20 
 PFIM-6.1/PFIM/man/ModelInfusion-class.Rd                                             |   20 
 PFIM-6.1/PFIM/man/ModelODE-class.Rd                                                  |   22 
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 PFIM-6.1/PFIM/man/Normal-class.Rd                                                    |   22 
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 PFIM-6.1/PFIM/man/PFIM-package.Rd                                                    |   22 
 PFIM-6.1/PFIM/man/PFIMProject-class.Rd                                               |   48 
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 PFIM-6.1/PFIM/man/Report.Rd                                                          |   58 
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 PFIM-6.1/PFIM/man/addModel.Rd                                                        |   44 
 PFIM-6.1/PFIM/man/addModels.Rd                                                       |   44 
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 PFIM-6.1/PFIM/man/defineModelType.Rd                                                 |   44 
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 PFIM-6.1/PFIM/man/definePKModel.Rd                                                   |   80 
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 PFIM-6.1/PFIM/man/fisher.simplex.Rd                                                  |   42 
 PFIM-6.1/PFIM/man/fun.amoeba.Rd                                                      |   64 
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 PFIM-6.1/PFIM/man/generateTables.Rd                                                  |   50 
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 PFIM-6.1/PFIM/man/getAdministrations.Rd                                              |   42 
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 PFIM-6.1/PFIM/man/getArms.Rd                                                         |   48 
 PFIM-6.1/PFIM/man/getColumnAndParametersNamesFIM.Rd                                  |   58 
 PFIM-6.1/PFIM/man/getColumnAndParametersNamesFIMInLatex.Rd                           |   58 
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 PFIM-6.1/PFIM/man/getContent.Rd                                                      |   40 
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 PFIM-6.1/PFIM/man/getDataFrameResults.Rd                                             |   10 
 PFIM-6.1/PFIM/man/getDelta.Rd                                                        |   40 
 PFIM-6.1/PFIM/man/getDerivatives.Rd                                                  |   40 
 PFIM-6.1/PFIM/man/getDescription.Rd                                                  |   40 
 PFIM-6.1/PFIM/man/getDesigns.Rd                                                      |   40 
 PFIM-6.1/PFIM/man/getDistribution.Rd                                                 |   40 
 PFIM-6.1/PFIM/man/getDose.Rd                                                         |   46 
 PFIM-6.1/PFIM/man/getEigenValues.Rd                                                  |   40 
 PFIM-6.1/PFIM/man/getElementaryProtocols.Rd                                          |   46 
 PFIM-6.1/PFIM/man/getEquation.Rd                                                     |   40 
 PFIM-6.1/PFIM/man/getEquations.Rd                                                    |   40 
 PFIM-6.1/PFIM/man/getEquationsAfterInfusion.Rd                                       |   40 
 PFIM-6.1/PFIM/man/getEquationsDuringInfusion.Rd                                      |   40 
 PFIM-6.1/PFIM/man/getEvaluationFIMResults.Rd                                         |   40 
 PFIM-6.1/PFIM/man/getEvaluationInitialDesignResults.Rd                               |   40 
 PFIM-6.1/PFIM/man/getFixedEffects.Rd                                                 |   40 
 PFIM-6.1/PFIM/man/getFixedMu.Rd                                                      |   40 
 PFIM-6.1/PFIM/man/getFixedOmega.Rd                                                   |   40 
 PFIM-6.1/PFIM/man/getFixedParameters.Rd                                              |   40 
 PFIM-6.1/PFIM/man/getFixedTimes.Rd                                                   |   40 
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 PFIM-6.1/PFIM/man/getLambda.Rd                                                       |   40 
 PFIM-6.1/PFIM/man/getLibraryPDModels.Rd                                              |   40 
 PFIM-6.1/PFIM/man/getLibraryPKModels.Rd                                              |   40 
 PFIM-6.1/PFIM/man/getMinSampling.Rd                                                  |   40 
 PFIM-6.1/PFIM/man/getModel.Rd                                                        |   40 
 PFIM-6.1/PFIM/man/getModelEquations.Rd                                               |   40 
 PFIM-6.1/PFIM/man/getModelError.Rd                                                   |   46 
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 PFIM-6.1/PFIM/man/getMu.Rd                                                           |   48 
 PFIM-6.1/PFIM/man/getName.Rd                                                         |   72 
 PFIM-6.1/PFIM/man/getNames.Rd                                                        |   40 
 PFIM-6.1/PFIM/man/getNumberOfArms.Rd                                                 |   40 
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 PFIM-6.1/PFIM/man/getOmega.Rd                                                        |   48 
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 PFIM-6.1/PFIM/man/getOptimalWeights.Rd                                               |   40 
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 PFIM-6.1/PFIM/man/getOptimizer.Rd                                                    |   40 
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 PFIM-6.1/PFIM/man/getOutcome.Rd                                                      |   68 
 PFIM-6.1/PFIM/man/getOutcomes.Rd                                                     |   46 
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 PFIM-6.1/PFIM/man/getPDModel.Rd                                                      |   44 
 PFIM-6.1/PFIM/man/getPKModel.Rd                                                      |   44 
 PFIM-6.1/PFIM/man/getPKPDModel.Rd                                                    |   44 
 PFIM-6.1/PFIM/man/getParameters.Rd                                                   |   54 
 PFIM-6.1/PFIM/man/getPlotOptions.Rd                                                  |   38 
 PFIM-6.1/PFIM/man/getProportionsOfSubjects.Rd                                        |   40 
 PFIM-6.1/PFIM/man/getSamplingTime.Rd                                                 |   44 
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 PFIM-6.1/PFIM/man/getSamplings.Rd                                                    |   48 
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 PFIM-6.1/PFIM/man/getSize.Rd                                                         |   46 
 PFIM-6.1/PFIM/man/getTau.Rd                                                          |   40 
 PFIM-6.1/PFIM/man/getTimeDose.Rd                                                     |   40 
 PFIM-6.1/PFIM/man/getTinf.Rd                                                         |   40 
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More information about PFIM at CRAN
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Package RandomWalker updated to version 0.2.0 with previous version 0.1.0 dated 2024-09-15

Title: Generate Random Walks Compatible with the 'tidyverse'
Description: Generates random walks of various types by providing a set of functions that are compatible with the 'tidyverse'. The functions provided in the package make it simple to create random walks with a variety of properties, such as how many simulations to run, how many steps to take, and the distribution of random walk itself.
Author: Steven Sanderson [aut, cre, cph] , Antti Rask [aut, cph]
Maintainer: Steven Sanderson <spsanderson@gmail.com>

Diff between RandomWalker versions 0.1.0 dated 2024-09-15 and 0.2.0 dated 2024-10-23

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Package metalite.ae updated to version 0.1.3 with previous version 0.1.2 dated 2024-04-16

Title: Adverse Events Analysis Using 'metalite'
Description: Analyzes adverse events in clinical trials using the 'metalite' data structure. The package simplifies the workflow to create production-ready tables, listings, and figures discussed in the adverse events analysis chapters of "R for Clinical Study Reports and Submission" by Zhang et al. (2022) <https://r4csr.org/>.
Author: Yilong Zhang [aut], Yujie Zhao [aut, cre], Benjamin Wang [aut], Nan Xiao [aut], Sarad Nepal [aut], Madhusudhan Ginnaram [aut], Venkatesh Burla [ctb], Ruchitbhai Patel [aut], Brian Lang [aut], Xuan Deng [aut], Hiroaki Fukuda [aut], Bing Liu [aut], Jee [...truncated...]
Maintainer: Yujie Zhao <yujie.zhao@merck.com>

Diff between metalite.ae versions 0.1.2 dated 2024-04-16 and 0.1.3 dated 2024-10-23

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Package allcontributors updated to version 0.2.2 with previous version 0.2.0 dated 2024-05-16

Title: Acknowledge all Contributors to a Project
Description: Acknowledge all contributors to a project via a single function call. The function appends to a 'README' or other specified file(s) a table with names of all individuals who contributed via code or repository issues. The package also includes several additional functions to extract and quantify contributions to any repository.
Author: Mark Padgham [aut, cre], Chris Hartgerink [aut], Maelle Salmon [ctb]
Maintainer: Mark Padgham <mark.padgham@email.com>

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Package rStrava updated to version 1.3.2 with previous version 1.3.1 dated 2024-03-26

Title: Access the 'Strava' API
Description: Functions to access data from the 'Strava v3 API' <https://developers.strava.com/>.
Author: Marcus W. Beck [cre], Pedro Villarroel [aut], Daniel Padfield [aut], Lorenzo Gaborini [aut], Niklas von Maltzahn [aut]
Maintainer: Marcus W. Beck <mbafs2012@gmail.com>

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Package clusterMI updated to version 1.2.2 with previous version 1.2.1 dated 2024-07-07

Title: Cluster Analysis with Missing Values by Multiple Imputation
Description: Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 <doi:10.1007/s11634-022-00519-1>. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) <doi:10.48550/arXiv.2106.04424>. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 <doi:10.1016/j.csda.2011.09.003>). Among applications, this instability measure can be used to choose a number of clusters with missing value [...truncated...]
Author: Vincent Audigier [aut, cre] , Hang Joon Kim [ctb]
Maintainer: Vincent Audigier <vincent.audigier@cnam.fr>

Diff between clusterMI versions 1.2.1 dated 2024-07-07 and 1.2.2 dated 2024-10-23

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Package openCR updated to version 2.2.7 with previous version 2.2.6 dated 2023-11-27

Title: Open Population Capture-Recapture
Description: Non-spatial and spatial open-population capture-recapture analysis.
Author: Murray Efford [aut, cre]
Maintainer: Murray Efford <murray.efford@otago.ac.nz>

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Package pakret updated to version 0.2.2 with previous version 0.2.1 dated 2024-10-10

Title: Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto'
Description: References and cites 'R' and 'R' packages on the fly in 'R Markdown' and 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted citations of 'R' and 'R' packages, and adds their reference to a '.bib' file directly from within your document.
Author: Arnaud Gallou [aut, cre, cph]
Maintainer: Arnaud Gallou <arangacas@gmail.com>

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Package jskm updated to version 0.5.6 with previous version 0.5.5 dated 2024-07-08

Title: Kaplan-Meier Plot with 'ggplot2'
Description: The function 'jskm()' creates publication quality Kaplan-Meier plot with at risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier estimator.
Author: Jinseob Kim [aut, cre] , yoonkyoung Chun [aut], Zarathu [cph, fnd]
Maintainer: Jinseob Kim <jinseob2kim@gmail.com>

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Package DynForest updated to version 1.2.0 with previous version 1.1.3 dated 2024-03-22

Title: Random Forest with Multivariate Longitudinal Predictors
Description: Based on random forest principle, 'DynForest' is able to include multiple longitudinal predictors to provide individual predictions. Longitudinal predictors are modeled through the random forest. The methodology is fully described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima (2023) <doi: 10.1177/09622802231206477>.
Author: Anthony Devaux [aut, cre] , Robin Genuer [aut] , Cecile Proust-Lima [aut] , Louis Capitaine [aut]
Maintainer: Anthony Devaux <anthony.devauxbarault@gmail.com>

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Package REDCapR updated to version 1.3.0 with previous version 1.2.0 dated 2024-09-09

Title: Interaction Between R and REDCap
Description: Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.
Author: Will Beasley [aut, cre] , David Bard [ctb] , Thomas Wilson [ctb], John J Aponte [ctb], Rollie Parrish [ctb] , Benjamin Nutter [ctb], Andrew Peters [ctb] , Hao Zhu [ctb] , Janosch Linkersdoerfer [ctb] , Jonathan Mang [ctb] , Felix Torres [ctb], Philip [...truncated...]
Maintainer: Will Beasley <wibeasley@hotmail.com>

Diff between REDCapR versions 1.2.0 dated 2024-09-09 and 1.3.0 dated 2024-10-23

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 REDCapR-1.3.0/REDCapR/DESCRIPTION                                                                           |    9 
 REDCapR-1.3.0/REDCapR/LICENSE                                                                               |    4 
 REDCapR-1.3.0/REDCapR/MD5                                                                                   |  767 -
 REDCapR-1.3.0/REDCapR/NAMESPACE                                                                             |  108 
 REDCapR-1.3.0/REDCapR/NEWS.md                                                                               |   12 
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 REDCapR-1.3.0/REDCapR/R/constant.R                                                                          |  462 
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 REDCapR-1.3.0/REDCapR/R/project-simple.R                                                                    |  332 
 REDCapR-1.3.0/REDCapR/R/redcap-arm-export.R                                                                 |  372 
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 REDCapR-1.3.0/REDCapR/R/redcap-dag-read.R                                                                   |  334 
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 REDCapR-1.3.0/REDCapR/R/redcap-project.R                                                                    |  266 
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 REDCapR-1.3.0/REDCapR/R/redcap-read-oneshot-eav.R                                                           |  818 -
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 REDCapR-1.3.0/REDCapR/R/redcap-read.R                                                                       | 1232 +-
 REDCapR-1.3.0/REDCapR/R/redcap-report.R                                                                     |  498 
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Package Rquefts updated to version 1.2-4 with previous version 1.2-3 dated 2023-10-24

Title: Quantitative Evaluation of the Native Fertility of Tropical Soils
Description: An implementation of the QUEFTS (Quantitative Evaluation of the Native Fertility of Tropical Soils) model. The model (1) estimates native nutrient (N, P, K) supply of soils from a few soil chemical properties; and (2) computes crop yield given that supply, crop parameters, fertilizer application, and crop attainable yield. See Janssen et al. (1990) <doi:10.1016/0016-7061(90)90021-Z> for the technical details and Sattari et al. (2014) <doi:10.1016/j.fcr.2013.12.005> for a recent evaluation and improvements.
Author: Robert J. Hijmans [cre, aut], Pieter Pypers [ctb, aut], Joost Wolff [ctb]
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>

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Package bellreg updated to version 0.0.2.2 with previous version 0.0.2.1 dated 2024-06-17

Title: Count Regression Models Based on the Bell Distribution
Description: Bell regression models for count data with overdispersion. The implemented models account for ordinary and zero-inflated regression models under both frequentist and Bayesian approaches. Theoretical details regarding the models implemented in the package can be found in Castellares et al. (2018) <doi:10.1016/j.apm.2017.12.014> and Lemonte et al. (2020) <doi:10.1080/02664763.2019.1636940>.
Author: Fabio Demarqui [aut, cre, cph] , Marcos Prates [ctb] , Fredy Caceres [ctb], Andrew Johnson [ctb]
Maintainer: Fabio Demarqui <fndemarqui@est.ufmg.br>

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Package MNormTest updated to version 1.1.1 with previous version 1.1.0 dated 2024-10-22

Title: Multivariate Normal Hypothesis Testing
Description: Hypothesis testing of the parameters of multivariate normal distributions, including the testing of a single mean vector, two mean vectors, multiple mean vectors, a single covariance matrix, multiple covariance matrices, a mean and a covariance matrix simultaneously, and the testing of independence of multivariate normal random vectors. Huixuan, Gao (2005, ISBN:9787301078587), "Applied Multivariate Statistical Analysis".
Author: Xifeng Zhang [aut, cre]
Maintainer: Xifeng Zhang <cnxifeng9819@163.com>

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Package nnls updated to version 1.6 with previous version 1.5 dated 2023-09-11

Title: The Lawson-Hanson Algorithm for Non-Negative Least Squares (NNLS)
Description: An R interface to the Lawson-Hanson implementation of an algorithm for non-negative least squares (NNLS). Also allows the combination of non-negative and non-positive constraints.
Author: Katharine M. Mullen [aut], Ivo H. M. van Stokkum [aut], Katharine Mullen [cre]
Maintainer: Katharine Mullen <mullenkate@gmail.com>

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Package mixexp updated to version 1.2.7.1 with previous version 1.2.7 dated 2022-05-27

Title: Design and Analysis of Mixture Experiments
Description: Functions for creating designs for mixture experiments, making ternary contour plots, and making mixture effect plots.
Author: John Lawson [aut, cre], Cameron Willden [aut], Greg Piepel [ctb]
Maintainer: John Lawson <lawson@byu.edu>

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Package sphereTessellation (with last version 1.2.0) was removed from CRAN

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

2024-01-08 1.2.0

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Package spNetwork (with last version 0.4.4.3) was removed from CRAN

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

2024-06-21 0.4.4.3

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Package elrm (with last version 1.2.5) was removed from CRAN

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

2021-10-26 1.2.5

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Package Vdgraph (with last version 2.2-7) was removed from CRAN

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

2023-09-08 2.2-7
2023-06-02 2.2-6

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Package raybevel (with last version 0.1.3) was removed from CRAN

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

2024-05-14 0.1.3

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Package MLCOPULA updated to version 1.0.1 with previous version 1.0.0 dated 2024-06-06

Title: Classification Models with Copula Functions
Description: Provides several classifiers based on probabilistic models. These classifiers allow to model the dependence structure of continuous features through bivariate copula functions and graphical models, see Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.
Author: Rogelio Salinas Gutierrez [aut, cre, cph] , Angelica Hernandez Quintero [aut, cph] , Pedro Abraham Montoya Calzada [aut, cph] , Carlos Alberto Lopez Hernandez [aut, cph] , Juan Manuel Marquez Romero [aut, cph]
Maintainer: Rogelio Salinas Gutierrez <rsalinas@correo.uaa.mx>

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Package mappeR updated to version 1.2.0 with previous version 1.1.0 dated 2024-10-16

Title: Construct and Visualize TDA Mapper Graphs
Description: Topological data analysis (TDA) is a method of data analysis that uses techniques from topology to analyze high-dimensional data. Here we implement Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson (2007) which generalizes the concept of a Reeb graph <https://en.wikipedia.org/wiki/Reeb_graph>.
Author: George Clare Kennedy [aut, cre]
Maintainer: George Clare Kennedy <george-clarekennedy@uiowa.edu>

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Package radiant.data updated to version 1.6.7 with previous version 1.6.6 dated 2024-05-14

Title: Data Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Data menu includes interfaces for loading, saving, viewing, visualizing, summarizing, transforming, and combining data. It also contains functionality to generate reproducible reports of the analyses conducted in the application.
Author: Vincent Nijs [aut, cre], Niklas von Hertzen [aut]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

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Package nhppp updated to version 1.0.0 with previous version 0.1.4 dated 2024-05-28

Title: Simulating Nonhomogeneous Poisson Point Processes
Description: Simulates events from one dimensional nonhomogeneous Poisson point processes (NHPPPs) as per Trikalinos and Sereda (2024, <doi:10.48550/arXiv.2402.00358>). Functions are based on three algorithms that provably sample from a target NHPPP: the time-transformation of a homogeneous Poisson process (of intensity one) via the inverse of the integrated intensity function (Cinlar E, "Theory of stochastic processes" (1975, ISBN:0486497996)); the generation of a Poisson number of order statistics from a fixed density function; and the thinning of a majorizing NHPPP via an acceptance-rejection scheme (Lewis PAW, Shedler, GS (1979) <doi:10.1002/nav.3800260304>).
Author: Thomas Trikalinos [aut, cre, cph] , Yuliia Sereda [aut]
Maintainer: Thomas Trikalinos <thomas_trikalinos@brown.edu>

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 nhppp-1.0.0/nhppp/R/utils-rngstream.R                                        |   14 
 nhppp-1.0.0/nhppp/R/utils-vectorized.R                                       |    7 
 nhppp-1.0.0/nhppp/R/vdraw.R                                                  |  103 ++-
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 nhppp-1.0.0/nhppp/R/ztdraw_cumulative_intensity.R                            |   28 
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 nhppp-1.0.0/nhppp/R/ztdraw_sc_loglinear.R                                    |   37 -
 nhppp-1.0.0/nhppp/R/ztppp.R                                                  |   12 
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 nhppp-1.0.0/nhppp/man/ztdraw_sc_loglinear.Rd                                 |   22 
 nhppp-1.0.0/nhppp/man/ztppp.Rd                                               |   10 
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 nhppp-1.0.0/nhppp/tests/testthat/test-draw_cumulative_intensity_orderstats.R |   13 
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 nhppp-1.0.0/nhppp/tests/testthat/test-draw_sc_linear.R                       |   24 
 nhppp-1.0.0/nhppp/tests/testthat/test-draw_sc_loglinear.R                    |    6 
 nhppp-1.0.0/nhppp/tests/testthat/test-draw_sc_step.R                         |   22 
 nhppp-1.0.0/nhppp/tests/testthat/test-draw_sc_step_regular.R                 |   21 
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 nhppp-1.0.0/nhppp/tests/testthat/test-ppp_next_n.R                           |   13 
 nhppp-1.0.0/nhppp/tests/testthat/test-utils-linear.R                         |   20 
 nhppp-1.0.0/nhppp/tests/testthat/test-utils-rng_stream.R                     |    6 
 nhppp-1.0.0/nhppp/tests/testthat/test-vdraw_cumulative_intensity.R           |only
 nhppp-1.0.0/nhppp/tests/testthat/test-vdraw_intensity_step_regular_cpp.R     |   59 +-
 nhppp-1.0.0/nhppp/tests/testthat/test-vdraw_intensity_step_regular_forcezt.R |only
 nhppp-1.0.0/nhppp/tests/testthat/test-vdraw_sc_step_regular.R                |   90 ++-
 nhppp-1.0.0/nhppp/tests/testthat/test-vdraw_sc_step_regular_cpp.R            |   76 +-
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 nhppp-1.0.0/nhppp/tests/testthat/test-vztdraw_sc_step_regular_cpp.R          |   46 +
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_cumulative_intensity.R          |   17 
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_intensity.R                     |   93 ---
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_intensity_line.R                |only
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_intensity_step.R                |   11 
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_sc_linear.R                     |    8 
 nhppp-1.0.0/nhppp/tests/testthat/test-ztdraw_sc_loglinear.R                  |    8 
 nhppp-1.0.0/nhppp/tests/testthat/test-ztnhppp_agreement.R                    |   80 +-
 nhppp-1.0.0/nhppp/tests/testthat/test-ztppp.R                                |    9 
 nhppp-1.0.0/nhppp/vignettes                                                  |only
 172 files changed, 1761 insertions(+), 1633 deletions(-)

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