Sat, 29 Oct 2022

Package plsVarSel updated to version 0.9.9 with previous version 0.9.8 dated 2022-07-16

Title: Variable Selection in Partial Least Squares
Description: Interfaces and methods for variable selection in Partial Least Squares. The methods include filter methods, wrapper methods and embedded methods. Both regression and classification is supported.
Author: Kristian Hovde Liland [aut, cre] , Tahir Mehmood [ctb], Solve Saeboe [ctb]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package Matching updated to version 4.10-4 with previous version 4.10-2 dated 2022-04-14

Title: Multivariate and Propensity Score Matching with Balance Optimization
Description: Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided. For details, see the paper by Jasjeet Sekhon (2007, <doi:10.18637/jss.v042.i07>).
Author: Jasjeet Singh Sekhon [aut, cre], Theo Saarinen [aut]
Maintainer: Jasjeet Singh Sekhon <jas.sekhon@yale.edu>

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Package markdown updated to version 1.3 with previous version 1.2 dated 2022-10-19

Title: Render Markdown with 'commonmark'
Description: Render Markdown to full HTML documents with the 'commonmark' package. Markdown is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See <https://en.wikipedia.org/wiki/Markdown> for more information about Markdown.
Author: JJ Allaire [aut], Jeffrey Horner [aut], Yihui Xie [aut, cre] , Henrik Bengtsson [ctb], Jim Hester [ctb], Yixuan Qiu [ctb], Kohske Takahashi [ctb], Adam November [ctb], Nacho Caballero [ctb], Jeroen Ooms [ctb], Thomas Leeper [ctb], Joe Cheng [ctb], An [...truncated...]
Maintainer: Yihui Xie <xie@yihui.name>

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Package auk updated to version 0.6.0 with previous version 0.5.1 dated 2021-10-27

Title: eBird Data Extraction and Processing in R
Description: Extract and process bird sightings records from eBird (<http://ebird.org>), an online tool for recording bird observations. Public access to the full eBird database is via the eBird Basic Dataset (EBD; see <http://ebird.org/ebird/data/download> for access), a downloadable text file. This package is an interface to AWK for extracting data from the EBD based on taxonomic, spatial, or temporal filters, to produce a manageable file size that can be imported into R.
Author: Matthew Strimas-Mackey [aut, cre] , Eliot Miller [aut], Wesley Hochachka [aut], Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package spsur updated to version 1.0.2.5 with previous version 1.0.2.4 dated 2022-08-31

Title: Spatial Seemingly Unrelated Regression Models
Description: A collection of functions to test and estimate Seemingly Unrelated Regression (usually called SUR) models, with spatial structure, by maximum likelihood and three-stage least squares. The package estimates the most common spatial specifications, that is, SUR with Spatial Lag of X regressors (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and SUR with Spatially Independent Model (called SUR-SIM). The methodology of these models can be found in next references Minguez, R., Lopez, F.A., and Mur, J. (2022) <doi:10.18637/jss.v104.i11> Mur, J., Lopez, F.A., and Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J., and Angulo, A. (2014) <d [...truncated...]
Author: Ana Angulo [aut], Fernando A Lopez [aut], Roman Minguez [aut, cre], Jesus Mur [aut]
Maintainer: Roman Minguez <roman.minguez@uclm.es>

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Package shorts updated to version 2.3.0 with previous version 2.1.0 dated 2022-09-26

Title: Short Sprints
Description: Create short sprint (<6sec) profiles using the split times or the radar gun data. Mono-exponential equation is used to estimate maximal sprinting speed (MSS), relative acceleration (TAU), and other parameters such us maximal acceleration (MAC) and maximal relative power (PMAX). These parameters can be used to predict kinematic and kinetics variables and to compare individuals. The modeling method utilized in this package is based on the works of Chelly SM, Denis C. (2001) <doi: 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Furusawa K, Hill AV, Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi: 10.1016/0025-5564(86)90063-5>, Samozino P. and Peyrot N., et al (2022) <doi: 10.1111/sms.14097>, and Samozino P. (2018) <doi: 10.1007/978-3-319-05633-3_11>.
Author: Mladen Jovanović [aut, cre], Jason D. Vescovi [dtc]
Maintainer: Mladen Jovanović <coach.mladen.jovanovic@gmail.com>

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Package multiblock updated to version 0.8.3 with previous version 0.8.2 dated 2022-06-07

Title: Multiblock Data Fusion in Statistics and Machine Learning
Description: Functions and datasets to support Smilde, Næs and Liland (2021, ISBN: 978-1-119-60096-1) "Multiblock Data Fusion in Statistics and Machine Learning - Applications in the Natural and Life Sciences". This implements and imports a large collection of methods for multiblock data analysis with common interfaces, result- and plotting functions, several real data sets and six vignettes covering a range different applications.
Author: Kristian Hovde Liland [aut, cre] , Solve Saeboe [ctb], Stefan Schrunner [rev]
Maintainer: Kristian Hovde Liland <kristian.liland@nmbu.no>

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Package littler updated to version 0.3.17 with previous version 0.3.16 dated 2022-08-28

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 icrf updated to version 2.0.2 with previous version 2.0.0 dated 2021-05-17

Title: Interval Censored Recursive Forests
Description: Implements interval censored recursive forests (ICRF) based on Cho, Jewell, and Kosorok (2021+). ICRF is a variant of random forests where the outcome variable is interval censored survival data. It can be used for usual right censored data and current status data as well. A recursion technique is used to improve accuracy and smoothed survival curves are provided.
Author: Hunyong Cho [aut, cre], Nicholas P Jewell [aut], Michael R Kosorok [aut], Leo Breiman [ctb] , Adele Cutler [ctb] , Andy Liaw [ctb] , Matthew Wiener [ctb] , Alain Vandal Robert Gentleman [ctb] , Merck & Co. Inc. [cph] , Alain Vandal Robert Gentleman [ [...truncated...]
Maintainer: Hunyong Cho <hunyong.cho@gmail.com>

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Package ggdag updated to version 0.2.7 with previous version 0.2.6 dated 2022-08-26

Title: Analyze and Create Elegant Directed Acyclic Graphs
Description: Tidy, analyze, and plot directed acyclic graphs (DAGs). 'ggdag' is built on top of 'dagitty', an R package that uses the 'DAGitty' web tool (<http://dagitty.net>) for creating and analyzing DAGs. 'ggdag' makes it easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as well as common analytic and graphical functions, such as determining adjustment sets and node relationships.
Author: Malcolm Barrett [aut, cre]
Maintainer: Malcolm Barrett <malcolmbarrett@gmail.com>

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 R/as_tbl_graph.R                                                                       |    8 
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 R/dag_labels.R                                                                         |   11 
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 R/equivalence.R                                                                        |   39 
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 R/ggdag.R                                                                              |   50 -
 R/instrumental.R                                                                       |   29 
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 R/quick_plots.R                                                                        |   84 +
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 R/simulate_data.R                                                                      |    6 
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 R/tidy_dag.R                                                                           |   74 +
 R/utils.R                                                                              |   42 
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 man/adjustment_sets.Rd                                                                 |    8 
 man/as_tbl_graph.Rd                                                                    |    8 
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 man/d_relationship.Rd                                                                  |    3 
 man/dag.Rd                                                                             |    1 
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 man/figures/ggdag_geoms-1.png                                                          |binary
 man/geom_dag_collider_edges.Rd                                                         |   41 
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 man/geom_dag_edges.Rd                                                                  |   14 
 man/geom_dag_text.Rd                                                                   |   22 
 man/ggdag.Rd                                                                           |    6 
 man/ggdag_classic.Rd                                                                   |    6 
 man/label.Rd                                                                           |    6 
 man/node_point.Rd                                                                      |   18 
 man/remove_axes.Rd                                                                     |    4 
 man/repel.Rd                                                                           |   44 -
 man/status.Rd                                                                          |    3 
 man/tidy_dagitty.Rd                                                                    |   10 
 man/variable_family.Rd                                                                 |   10 
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 tests/testthat/helper-load_dag.R                                                       |    2 
 tests/testthat/helper-vdiffr.R                                                         |    1 
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 tests/testthat/test-canonical.R                                                        |    2 
 tests/testthat/test-dagify.R                                                           |    2 
 tests/testthat/test-equivalence.R                                                      |    9 
 tests/testthat/test-geom_dag.R                                                         |   37 
 tests/testthat/test-paths.R                                                            |    6 
 tests/testthat/test-themes.R                                                           |    1 
 tests/testthat/test-tidy_dag.R                                                         |   45 -
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 vignettes/intro-to-dags.Rmd                                                            |   88 +-
 vignettes/intro-to-ggdag.Rmd                                                           |   88 +-
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Package cylcop updated to version 0.2.0 with previous version 0.1.0 dated 2021-08-06

Title: Circular-Linear Copulas with Angular Symmetry for Movement Data
Description: Classes (S4) of circular-linear, symmetric copulas with corresponding methods, extending the 'copula' package. These copulas are especially useful for modeling correlation in discrete-time movement data. Methods for density, (conditional) distribution, random number generation, bivariate dependence measures and fitting parameters using maximum likelihood and other approaches. The package also contains methods for visualizing movement data and copulas.
Author: Florian Hodel [aut, cre]
Maintainer: Florian Hodel <florian.hodel@yahoo.com>

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 cylcop-0.2.0/cylcop/R/cyl_cubsec.R                        |   51 
 cylcop-0.2.0/cylcop/R/cyl_quadsec.R                       |   34 
 cylcop-0.2.0/cylcop/R/cyl_rect_combine.R                  |  597 +--
 cylcop-0.2.0/cylcop/R/cyl_rot_combine.R                   |   26 
 cylcop-0.2.0/cylcop/R/cyl_vonmises.R                      |   64 
 cylcop-0.2.0/cylcop/R/cylcop-package.R                    |   15 
 cylcop-0.2.0/cylcop/R/density.R                           |   98 
 cylcop-0.2.0/cylcop/R/deprecated.R                        |only
 cylcop-0.2.0/cylcop/R/fit_cop_corr.R                      |  205 -
 cylcop-0.2.0/cylcop/R/fit_cop_mle.R                       |  137 
 cylcop-0.2.0/cylcop/R/fit_margin.R                        |  615 ++-
 cylcop-0.2.0/cylcop/R/gof.R                               |only
 cylcop-0.2.0/cylcop/R/joint_distr.R                       |only
 cylcop-0.2.0/cylcop/R/mixed_linear.R                      |only
 cylcop-0.2.0/cylcop/R/mixedvonmises.R                     |  633 ++-
 cylcop-0.2.0/cylcop/R/opt_auto.R                          | 1026 ++----
 cylcop-0.2.0/cylcop/R/plotting_functions.R                | 2243 +++++++++++---
 cylcop-0.2.0/cylcop/R/simulate_trajectory.R               |  364 +-
 cylcop-0.2.0/cylcop/R/utils.R                             |  366 ++
 cylcop-0.2.0/cylcop/R/wrappedcauchy.R                     |  172 -
 cylcop-0.2.0/cylcop/build/partial.rdb                     |binary
 cylcop-0.2.0/cylcop/inst/CITATION                         |   18 
 cylcop-0.2.0/cylcop/inst/REFERENCES.bib                   |  459 +-
 cylcop-0.2.0/cylcop/man/Cramer_vonMises.Rd                |only
 cylcop-0.2.0/cylcop/man/Cylcop.Rd                         |  272 -
 cylcop-0.2.0/cylcop/man/angstep2xy.Rd                     |    2 
 cylcop-0.2.0/cylcop/man/bearing.Rd                        |    4 
 cylcop-0.2.0/cylcop/man/ccylcop.Rd                        |  162 -
 cylcop-0.2.0/cylcop/man/cor_cyl.Rd                        |  128 
 cylcop-0.2.0/cylcop/man/cyl_cubsec-class.Rd               |   93 
 cylcop-0.2.0/cylcop/man/cyl_cubsec.Rd                     |   70 
 cylcop-0.2.0/cylcop/man/cyl_quadsec-class.Rd              |   96 
 cylcop-0.2.0/cylcop/man/cyl_quadsec.Rd                    |   64 
 cylcop-0.2.0/cylcop/man/cyl_rect_combine-class.Rd         |  156 
 cylcop-0.2.0/cylcop/man/cyl_rect_combine.Rd               |  165 -
 cylcop-0.2.0/cylcop/man/cyl_rot_combine.Rd                |   80 
 cylcop-0.2.0/cylcop/man/cyl_vonmises-class.Rd             |   98 
 cylcop-0.2.0/cylcop/man/cyl_vonmises.Rd                   |   86 
 cylcop-0.2.0/cylcop/man/cylcop-deprecated.Rd              |only
 cylcop-0.2.0/cylcop/man/cylcop-package.Rd                 |   44 
 cylcop-0.2.0/cylcop/man/dens.Rd                           |  132 
 cylcop-0.2.0/cylcop/man/fit_angle.Rd                      |   73 
 cylcop-0.2.0/cylcop/man/fit_cylcop_cor.Rd                 |only
 cylcop-0.2.0/cylcop/man/fit_cylcop_ml.Rd                  |only
 cylcop-0.2.0/cylcop/man/fit_steplength.Rd                 |  184 -
 cylcop-0.2.0/cylcop/man/full2half_circ.Rd                 |    2 
 cylcop-0.2.0/cylcop/man/gammamix.Rd                       |only
 cylcop-0.2.0/cylcop/man/half2full_circ.Rd                 |    2 
 cylcop-0.2.0/cylcop/man/joint.Rd                          |only
 cylcop-0.2.0/cylcop/man/lnormmix.Rd                       |only
 cylcop-0.2.0/cylcop/man/mi_cyl.Rd                         |  226 -
 cylcop-0.2.0/cylcop/man/mle.vonmisesmix.Rd                |only
 cylcop-0.2.0/cylcop/man/normmix.Rd                        |only
 cylcop-0.2.0/cylcop/man/numerical_conditional_cop.Rd      |   82 
 cylcop-0.2.0/cylcop/man/opt_auto.Rd                       |   96 
 cylcop-0.2.0/cylcop/man/opt_circ_bw.Rd                    |   75 
 cylcop-0.2.0/cylcop/man/opt_lin_bw.Rd                     |  101 
 cylcop-0.2.0/cylcop/man/plot-cyl_copula-missing-method.Rd |   65 
 cylcop-0.2.0/cylcop/man/plot_circ_hist.Rd                 |only
 cylcop-0.2.0/cylcop/man/plot_cop_scat.Rd                  |only
 cylcop-0.2.0/cylcop/man/plot_cop_surf.Rd                  |only
 cylcop-0.2.0/cylcop/man/plot_joint_box.Rd                 |only
 cylcop-0.2.0/cylcop/man/plot_joint_circ.Rd                |only
 cylcop-0.2.0/cylcop/man/plot_joint_scat.Rd                |only
 cylcop-0.2.0/cylcop/man/plot_track.Rd                     |only
 cylcop-0.2.0/cylcop/man/set_cop_param.Rd                  |only
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 cylcop-0.2.0/cylcop/man/wrappedcauchy.Rd                  |  187 -
 91 files changed, 6886 insertions(+), 3688 deletions(-)

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Package bzinb updated to version 1.0.6 with previous version 1.0.4 dated 2019-12-07

Title: Bivariate Zero-Inflated Negative Binomial Model Estimator
Description: Provides a maximum likelihood estimation of Bivariate Zero-Inflated Negative Binomial (BZINB) model or the nested model parameters. Also estimates the underlying correlation of the a pair of count data. See Cho, H., Liu, C., Preisser, J., and Wu, D. (In preparation) for details.
Author: Hunyong Cho, Chuwen Liu, Jinyoung Park, Di Wu
Maintainer: Hunyong Cho <hunyong.cho@gmail.com>

Diff between bzinb versions 1.0.4 dated 2019-12-07 and 1.0.6 dated 2022-10-29

 DESCRIPTION           |   11 +++++------
 MD5                   |   16 ++++++++--------
 man/bnb.Rd            |   12 ++++++++++--
 man/bzinb.Rd          |   11 +++++++++--
 man/bzinb.se.Rd       |    3 +--
 man/bzip.b.Rd         |   10 ++++++++--
 man/pairwise.bzinb.Rd |   10 ++++++++--
 src/RcppExports.cpp   |    5 +++++
 src/opt.cpp           |    2 +-
 9 files changed, 55 insertions(+), 25 deletions(-)

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Package rxode2parse updated to version 2.0.12 with previous version 2.0.11 dated 2022-10-09

Title: Parsing and Code Generation Functions for 'rxode2'
Description: Provides the parsing needed for 'rxode2' (Wang, Hallow and James (2016) <doi:10.1002/psp4.12052>). It also provides the 'stan' based advan linear compartment model solutions with gradients (Carpenter et al (2015), <arXiv:1509.07164>) needed in 'nlmixr2' (Fidler et al (2019) <doi:10.1002/psp4.12445>). This split will reduce computational burden of recompiling 'rxode2'.
Author: Matthew L. Fidler [aut, cre] , Wenping Wang [aut], Richard Upton [ctb]
Maintainer: Matthew L. Fidler <matthew.fidler@gmail.com>

Diff between rxode2parse versions 2.0.11 dated 2022-10-09 and 2.0.12 dated 2022-10-29

 rxode2parse-2.0.11/rxode2parse/src/ver.h                                  |only
 rxode2parse-2.0.12/rxode2parse/DESCRIPTION                                |   15 
 rxode2parse-2.0.12/rxode2parse/MD5                                        |   61 +-
 rxode2parse-2.0.12/rxode2parse/NAMESPACE                                  |    6 
 rxode2parse-2.0.12/rxode2parse/NEWS.md                                    |    8 
 rxode2parse-2.0.12/rxode2parse/R/000.R                                    |only
 rxode2parse-2.0.12/rxode2parse/R/d.R                                      |only
 rxode2parse-2.0.12/rxode2parse/R/dfIni.R                                  |    2 
 rxode2parse-2.0.12/rxode2parse/R/intern.R                                 |only
 rxode2parse-2.0.12/rxode2parse/R/parseFuns.R                              |    2 
 rxode2parse-2.0.12/rxode2parse/R/rxode2parse_md5.R                        |    2 
 rxode2parse-2.0.12/rxode2parse/R/tran.R                                   |   63 ++
 rxode2parse-2.0.12/rxode2parse/R/zzz.R                                    |    2 
 rxode2parse-2.0.12/rxode2parse/README.md                                  |    4 
 rxode2parse-2.0.12/rxode2parse/build/refresh.R                            |   34 -
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2_model_shared.c         |   20 
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2_model_shared.h         |    3 
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2parse.h                 |  282 ----------
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2parseSbuf.h             |    2 
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2parseStruct.h           |only
 rxode2parse-2.0.12/rxode2parse/inst/include/rxode2parseVer.h              |    4 
 rxode2parse-2.0.12/rxode2parse/inst/include/sbuf.c                        |    2 
 rxode2parse-2.0.12/rxode2parse/inst/tools/workaround.R                    |   19 
 rxode2parse-2.0.12/rxode2parse/man/rxode2parseAssignPackagesToLoad.Rd     |only
 rxode2parse-2.0.12/rxode2parse/man/rxode2parseAssignPointerTranslation.Rd |only
 rxode2parse-2.0.12/rxode2parse/man/rxode2parseD.Rd                        |only
 rxode2parse-2.0.12/rxode2parse/man/rxode2parseGetPointerAssignment.Rd     |only
 rxode2parse-2.0.12/rxode2parse/src/codegen.c                              |   13 
 rxode2parse-2.0.12/rxode2parse/src/codegen.h                              |    9 
 rxode2parse-2.0.12/rxode2parse/src/codegen2.h                             |   20 
 rxode2parse-2.0.12/rxode2parse/src/genModelVars.h                         |   80 +-
 rxode2parse-2.0.12/rxode2parse/src/init.c                                 |   19 
 rxode2parse-2.0.12/rxode2parse/src/lincmtB.cpp                            |   26 
 rxode2parse-2.0.12/rxode2parse/src/qs.cpp                                 |    6 
 rxode2parse-2.0.12/rxode2parse/src/sbuf.c                                 |    2 
 rxode2parse-2.0.12/rxode2parse/src/tran.c                                 |    7 
 36 files changed, 296 insertions(+), 417 deletions(-)

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New package port4me with initial version 0.5.0
Package: port4me
Version: 0.5.0
Depends: R (>= 4.0.0)
Suggests: utils, rmarkdown, knitr
VignetteBuilder: knitr
Title: Get the Same, Personal, Free 'TCP' Port over and over
Description: An implementation of the cross-platform, language-independent "port4me" algorithm (<https://github.com/HenrikBengtsson/port4me>), which (1) finds a free Transmission Control Protocol ('TCP') port in [1024,65535] that the user can open, (2) is designed to work in multi-user environments, (3), gives different users, different ports, (4) gives the user the same port over time with high probability, (5) gives different ports for different software tools, and (6) requires no configuration.
License: MIT + file LICENSE
URL: https://github.com/HenrikBengtsson/port4me
BugReports: https://github.com/HenrikBengtsson/port4me/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-28 16:54:46 UTC; hb
Author: Henrik Bengtsson [aut, cre, cph]
Maintainer: Henrik Bengtsson <henrikb@braju.com>
Repository: CRAN
Date/Publication: 2022-10-29 09:04:45 UTC

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New package pcaone with initial version 1.0.0
Package: pcaone
Title: Randomized Singular Value Decomposition Algorithms with 'RcppEigen'
Version: 1.0.0
Date: 2022-10-25
Author: Zilong Li [aut, cre]
Maintainer: Zilong Li <zilong.dk@gmail.com>
Description: Randomized Singular Value Decomposition (RSVD) methods proposed in the 'PCAone' paper by Li (2022) <doi:10.1101/2022.05.25.493261>, where we implement and propose two RSVD methods. One is based on Yu (2017) <arXiv:1704.07669> single pass RSVD but with power iteration scheme. The other is our new window based RSVD.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppEigen (>= 0.3.3.3.0)
SystemRequirements: C++17
Suggests: testthat (>= 3.0.0)
URL: https://github.com/Zilong-Li/PCAoneR
BugReports: https://github.com/Zilong-Li/PCAoneR/issues
NeedsCompilation: yes
Packaged: 2022-10-28 12:17:24 UTC; zilong
Repository: CRAN
Date/Publication: 2022-10-29 08:57:35 UTC

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New package OnboardClient with initial version 1.0.0
Package: OnboardClient
Title: Bindings for Onboard Data's Building Data API
Version: 1.0.0
Description: Provides a wrapper for the Onboard Data building data API <https://api.onboarddata.io/swagger>. Along with streamlining access to the API, this package simplifies access to sensor time series data, metadata (sensors, equipment, and buildings), and details about the Onboard data model/ontology.
License: Apache License (>= 2)
Imports: data.table (>= 1.14.2), dplyr (>= 1.0.10), httr (>= 1.4.4), jsonlite (>= 1.8.0), lubridate (>= 1.8.0), plyr (>= 1.8.7), rrapply (>= 1.2.5), rstudioapi (>= 0.14), tibble (>= 3.1.8), tidyr (>= 1.2.1), tidyselect (>= 1.1.2), stringr (>= 1.4.1)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-21 20:50:52 UTC; christopher
Author: Pranay Shah [aut], Christopher Dudas-Thomas [cre, aut], Onboard Data [cph, fnd]
Maintainer: Christopher Dudas-Thomas <christopher@onboarddata.io>
Repository: CRAN
Date/Publication: 2022-10-29 09:14:31 UTC

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New package MARVEL with initial version 1.3.0
Package: MARVEL
Title: Revealing Splicing Dynamics at Single-Cell Resolution
Version: 1.3.0
Description: Alternative splicing represents an additional and underappreciated layer of complexity underlying gene expression profiles. Nevertheless, there remains hitherto a paucity of software to investigate splicing dynamics at single-cell resolution. 'MARVEL' quantifies percent spliced-in (PSI) values for the all exon-level splicing events. Additionally, 'MARVEL' performs differential splicing analysis to identify splicing events whose PSI distribution differ between groups of cells. Finally, 'MARVEL' models the PSI distribution for each event as a beta distribution and categorises each distribution into modalities (inspired by Song (2017) <doi:10.1016/j.molcel.2017.06.003>).
Imports: ggplot2 (>= 3.3.2), methods, scales (>= 1.1.1)
Suggests: AnnotationDbi (>= 1.48.0), Biostrings (>= 2.56.0), BSgenome (>= 1.56.0), BSgenome.Hsapiens.NCBI.GRCh38 (>= 1.3.1000), clusterProfiler (>= 3.16.0), factoextra (>= 1.0.7), FactoMineR (>= 2.3), fitdistrplus (>= 1.1-1), ggnewscale (>= 0.4.5), ggrepel (>= 0.9.1), gridExtra (>= 2.3), kableExtra (>= 1.3.1), knitr (>= 1.29), kSamples (>= 1.2-9), markdown (>= 1.1), MAST (>= 1.16.0), org.Hs.eg.db (>= 3.10.0), org.Mm.eg.db (>= 3.11.4), parallel, plyr (>= 1.8.4), reshape2 (>= 1.4.4), rmarkdown (>= 2.3), stringr (>= 1.4.0), textclean (>= 0.9.3), twosamples (>= 1.1.1)
Encoding: UTF-8
License: GPL-3
VignetteBuilder: knitr
ByteCompile: true
NeedsCompilation: no
Packaged: 2022-10-28 23:41:48 UTC; seanwen
Author: Sean Wen [aut, cre]
Maintainer: Sean Wen <sean.wenwx@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2022-10-29 09:24:33 UTC

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New package FRCC with initial version 1.1.0
Package: FRCC
Title: Fast Regularized Canonical Correlation Analysis
Version: 1.1.0
Description: Contains the core functions associated with Fast Regularized Canonical Correlation Analysis. Please see the following for details: Raul Cruz-Cano, Mei-Ling Ting Lee, Fast regularized canonical correlation analysis, Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100, ISSN 0167-9473 <doi:10.1016/j.csda.2013.09.020>.
License: GPL (>= 2)
Encoding: UTF-8
Imports: calibrate, CCP, corpcor, graphics, MASS, stats, utils
Depends: R (>= 2.10)
LazyData: true
Suggests: grDevices
NeedsCompilation: no
Packaged: 2022-10-28 14:01:27 UTC; aaroncohen
Author: Raul Cruz-Cano [aut, cre]
Maintainer: Raul Cruz-Cano <raulcruz@iu.edu>
Repository: CRAN
Date/Publication: 2022-10-29 09:10:42 UTC

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New package breakaway with initial version 4.8.2
Package: breakaway
Title: Species Richness Estimation and Modeling
Version: 4.8.2
Date: 2022-09-30
Description: Understanding the drivers of microbial diversity is an important frontier of microbial ecology, and investigating the diversity of samples from microbial ecosystems is a common step in any microbiome analysis. 'breakaway' is the premier package for statistical analysis of microbial diversity. 'breakaway' implements the latest and greatest estimates of species richness, described in Willis and Bunge (2015) <doi:10.1111/biom.12332>, Willis et al. (2017) <doi:10.1111/rssc.12206>, and Willis (2016) <arXiv:1604.02598>, as well as the most commonly used estimates, including the objective Bayes approach described in Barger and Bunge (2010) <doi:10.1214/10-BA527>.
License: GPL-2
BugReports: https://github.com/adw96/breakaway/issues
LazyData: true
Depends: R (>= 3.5.0)
Imports: ggplot2, graphics, lme4, magrittr, MASS, phyloseq, stats, tibble, utils
Suggests: devtools, knitr, plyr, RCurl, rmarkdown, testthat, dplyr
VignetteBuilder: knitr
URL: https://adw96.github.io/breakaway/
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-28 22:23:08 UTC; paulinetrinh
Author: Amy D Willis [aut, cre], Bryan D Martin [aut], Pauline Trinh [aut], Sarah Teichman [aut], David Clausen [aut], Kathryn Barger [aut], John Bunge [aut]
Maintainer: Amy D Willis <adwillis@uw.edu>
Repository: CRAN
Date/Publication: 2022-10-29 09:20:03 UTC

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New package bingadsR with initial version 0.1.0
Package: bingadsR
Title: Get Bing Ads Data via the 'Windsor.ai' API
Version: 0.1.0
Description: Collect your data on digital marketing campaigns from bing Ads using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.
License: GPL-3
URL: https://windsor.ai/
Depends: R (>= 3.5.0)
Imports: jsonlite (>= 1.7.2)
Suggests: knitr, rmarkdown, dplyr, ggplot2, tidyr, curl
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2022-10-28 14:48:58 UTC; pablo
Author: Pablo Sanchez [cre, aut], Windsor.ai [cph]
Maintainer: Pablo Sanchez <pablosama@outlook.es>
Repository: CRAN
Date/Publication: 2022-10-29 09:02:03 UTC

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New package ROI.plugin.highs with initial version 1.0-2
Package: ROI.plugin.highs
Version: 1.0-2
Title: 'HiGHS' Plugin for the 'R' Optimization Infrastructure
Description: Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'HiGHS'. More information about 'HiGHS' can be found at <https://highs.dev>.
Imports: methods, ROI (>= 1.0-0), highs
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2022-10-28 07:56:12 UTC; f
Author: Florian Schwendinger [aut, cre]
Maintainer: Florian Schwendinger <FlorianSchwendinger@gmx.at>
Repository: CRAN
Date/Publication: 2022-10-29 08:52:39 UTC

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New package MOFAT with initial version 1.0
Package: MOFAT
Title: Maximum One-Factor-at-a-Time Designs
Version: 1.0
Imports: SLHD, stats
Description: Identifying important factors from a large number of potentially important factors of a highly nonlinear and computationally expensive black box model is a difficult problem. Xiao, Joseph, and Ray (2022) <doi:10.1080/00401706.2022.2141897> proposed Maximum One-Factor-at-a-Time (MOFAT) designs for doing this. A MOFAT design can be viewed as an improvement to the random one-factor-at-a-time (OFAT) design proposed by Morris (1991) <doi:10.1080/00401706.1991.10484804>. The improvement is achieved by exploiting the connection between Morris screening designs and Monte Carlo-based Sobol' designs, and optimizing the design using a space-filling criterion. This work is supported by a U.S. National Science Foundation (NSF) grant CMMI-1921646 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921646>.
License: GPL (>= 2)
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2022-10-27 21:16:53 UTC; rv48
Author: Qian Xiao [aut], V. Roshan Joseph [aut, cre]
Maintainer: V. Roshan Joseph <roshan@gatech.edu>
Repository: CRAN
Date/Publication: 2022-10-29 08:52:56 UTC

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New package MeshesTools with initial version 1.0.0
Package: MeshesTools
Title: Some Tools for 3D Meshes
Version: 1.0.0
Maintainer: Stephane Laurent <laurent_step@outlook.fr>
Description: Provides some utilities for 3D meshes: clipping of a mesh to the volume bounded by another mesh, decomposition into convex parts, distance between a mesh and a point, volume, area, and centroid. All algorithms are performed by the 'C++' library 'CGAL' (<https://www.cgal.org/>).
License: GPL-3
URL: https://github.com/stla/MeshesTools
BugReports: https://github.com/stla/MeshesTools/issues
Depends: R (>= 2.10)
Imports: data.table, gmp, PolygonSoup, Rcpp (>= 1.0.9), rgl, Rvcg
Suggests: randomcoloR, rmarchingcubes
LinkingTo: BH, Rcpp, RcppCGAL, RcppEigen
Encoding: UTF-8
LazyData: true
SystemRequirements: C++ 17, gmp, mpfr
NeedsCompilation: yes
Packaged: 2022-10-28 09:13:41 UTC; stla
Author: Stephane Laurent [aut, cre]
Repository: CRAN
Date/Publication: 2022-10-29 08:52:42 UTC

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New package fitode with initial version 0.1.1
Package: fitode
Title: Tools for Ordinary Differential Equations Model Fitting
Version: 0.1.1
Description: Methods and functions for fitting ordinary differential equations (ODE) model in 'R'. Sensitivity equations are used to compute the gradients of ODE trajectories with respect to underlying parameters, which in turn allows for more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte Carlo), are also available.
License: GPL (>= 2)
Depends: R (>= 4.0), bbmle
Imports: deSolve, Deriv, MASS, numDeriv, mvtnorm, coda, methods
Suggests: knitr, ggplot2, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
NeedsCompilation: no
Packaged: 2022-10-26 16:53:41 UTC; swp2
Author: Sang Woo Park [aut, cre] , Ben Bolker [aut]
Maintainer: Sang Woo Park <swp2@princeton.edu>
Repository: CRAN
Date/Publication: 2022-10-29 08:50:05 UTC

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New package FBCRM with initial version 1.1
Package: FBCRM
Title: Phase I Optimal Dose Assignment using the FBCRM and MFBCRM Methods
Version: 1.1
Date: 2022-10-19
Description: Performs dose assignment and trial simulation for the FBCRM (Fully Bayesian Continual Reassessment Method) and MFBCRM (Mixture Fully Bayesian Continual Reassessment Method) phase I clinical trial designs. These trial designs extend the Continual Reassessment Method (CRM) and Bayesian Model Averaging Continual Reassessment Method (BMA-CRM) by allowing the prior toxicity skeleton itself to be random, with posterior distributions obtained from Markov Chain Monte Carlo. On average, the FBCRM and MFBCRM methods outperformed the CRM and BMA-CRM methods in terms of selecting an optimal dose level across thousands of randomly generated simulation scenarios. Details on the methods and results of this simulation study are available on request, and the manuscript is currently under review.
License: GPL-2
Encoding: UTF-8
Imports: Rcpp (>= 0.12.18)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2022-10-27 20:12:38 UTC; achapp
Author: Soham Mahato [aut], Andrew G Chapple [aut, cre]
Maintainer: Andrew G Chapple <achapp@lsuhsc.edu>
Repository: CRAN
Date/Publication: 2022-10-29 08:42:51 UTC

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Package tibbletime updated to version 0.1.7 with previous version 0.1.6 dated 2020-07-21

Title: Time Aware Tibbles
Description: Built on top of the 'tibble' package, 'tibbletime' is an extension that allows for the creation of time aware tibbles. Some immediate advantages of this include: the ability to perform time-based subsetting on tibbles, quickly summarising and aggregating results by time periods, and creating columns that can be used as 'dplyr' time-based groups.
Author: Davis Vaughan [aut, cre], Matt Dancho [aut]
Maintainer: Davis Vaughan <davis@rstudio.com>

Diff between tibbletime versions 0.1.6 dated 2020-07-21 and 0.1.7 dated 2022-10-29

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Package SoftBart updated to version 1.0.1 with previous version 1.0.0 dated 2022-10-12

Title: Implements the SoftBart Algorithm
Description: Implements the SoftBart model of described by Linero and Yang (2018) <doi:10.1111/rssb.12293>, with the optional use of a sparsity-inducing prior to allow for variable selection. For usability, the package maintains the same style as the 'BayesTree' package.
Author: Antonio R. Linero [aut, cre]
Maintainer: Antonio R. Linero <antonio.linero@austin.utexas.edu>

Diff between SoftBart versions 1.0.0 dated 2022-10-12 and 1.0.1 dated 2022-10-29

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Package dparser updated to version 1.3.1-8 with previous version 1.3.1-7 dated 2022-10-09

Title: Port of 'Dparser' Package
Description: A Scannerless GLR parser/parser generator. Note that GLR standing for "generalized LR", where L stands for "left-to-right" and R stands for "rightmost (derivation)". For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>). The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>. This allows you to add mini-languages to R (like RxODE's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate them to R code. To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use #include <dparser.h>. This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called mkdparser(). Additiona [...truncated...]
Author: Matthew Fidler [aut, cre], John Plevyak [aut, cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>

Diff between dparser versions 1.3.1-7 dated 2022-10-09 and 1.3.1-8 dated 2022-10-29

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Package cleaner updated to version 1.5.4 with previous version 1.5.3 dated 2021-06-13

Title: Fast and Easy Data Cleaning
Description: Data cleaning functions for classes logical, factor, numeric, character, currency and Date to make data cleaning fast and easy. Relying on very few dependencies, it provides smart guessing, but with user options to override anything if needed.
Author: Matthijs S. Berends [aut, cre]
Maintainer: Matthijs S. Berends <m.s.berends@umcg.nl>

Diff between cleaner versions 1.5.3 dated 2021-06-13 and 1.5.4 dated 2022-10-29

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Package spFSR updated to version 2.0.1 with previous version 1.0.0 dated 2018-05-11

Title: Feature Selection and Ranking via Simultaneous Perturbation Stochastic Approximation
Description: An implementation of feature selection, weighting and ranking via simultaneous perturbation stochastic approximation (SPSA). The SPSA-FSR algorithm searches for a locally optimal set of features that yield the best predictive performance using some error measures such as mean squared error (for regression problems) and accuracy rate (for classification problems).
Author: David Akman [aut, cre], Babak Abbasi [aut, ctb], Yong Kai Wong [aut, ctb], Guo Feng Anders Yeo [aut, ctb], Zeren D. Yenice [ctb]
Maintainer: David Akman <david.v.akman@gmail.com>

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Package gettz updated to version 0.0.5 with previous version 0.0.4 dated 2020-04-14

Title: Get the Timezone Information
Description: A function to retrieve the system timezone on Unix systems which has been found to find an answer when 'Sys.timezone()' has failed. It is based on an answer by Duane McCully posted on 'StackOverflow', and adapted to be callable from R. The package also builds on Windows, but just returns NULL.
Author: Dirk Eddelbuettel
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between gettz versions 0.0.4 dated 2020-04-14 and 0.0.5 dated 2022-10-29

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