Wed, 11 Jan 2023

Package r2rtf updated to version 1.0.0 with previous version 0.3.5 dated 2022-05-17

Title: Easily Create Production-Ready Rich Text Format (RTF) Table and Figure
Description: Create production-ready Rich Text Format (RTF) table and figure with flexible format.
Author: Yilong Zhang [aut, cre], Siruo Wang [aut], Simiao Ye [aut], Fansen Kong [aut], Brian Lang [aut], Nan Xiao [ctb], Madhusudhan Ginnaram [ctb], Ruchitbhai Patel [ctb], Huei-Ling Chen [ctb], Peikun Wu [ctb], Uday Preetham Palukuru [ctb], Daniel Woodie [c [...truncated...]
Maintainer: Yilong Zhang <elong0527@gmail.com>

Diff between r2rtf versions 0.3.5 dated 2022-05-17 and 1.0.0 dated 2023-01-11

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Package linl updated to version 0.0.5 with previous version 0.0.4 dated 2019-10-23

Title: 'linl' is not 'Letter'
Description: A 'LaTeX' Letter class for 'rmarkdown', using the 'pandoc-letter' template adapted for use with 'markdown'.
Author: Dirk Eddelbuettel and Aaron Wolen
Maintainer: Dirk Eddelbuettel <edd@debian.org>

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Package radiant.model updated to version 1.5.0 with previous version 1.4.8 dated 2022-09-09

Title: Model Menu for Radiant: Business Analytics using R and Shiny
Description: The Radiant Model menu includes interfaces for linear and logistic regression, naive Bayes, neural networks, classification and regression trees, model evaluation, collaborative filtering, decision analysis, and simulation. The application extends the functionality in 'radiant.data'.
Author: Vincent Nijs [aut, cre]
Maintainer: Vincent Nijs <radiant@rady.ucsd.edu>

Diff between radiant.model versions 1.4.8 dated 2022-09-09 and 1.5.0 dated 2023-01-11

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Package gfoRmula updated to version 1.0.1 with previous version 1.0.0 dated 2022-04-09

Title: Parametric G-Formula
Description: Implements the parametric g-formula algorithm of Robins (1986) <doi:10.1016/0270-0255(86)90088-6>. The g-formula can be used to estimate the causal effects of hypothetical time-varying treatment interventions on the mean or risk of an outcome from longitudinal data with time-varying confounding. This package allows: 1) binary or continuous/multi-level time-varying treatments; 2) different types of outcomes (survival or continuous/binary end of follow-up); 3) data with competing events or truncation by death and loss to follow-up and other types of censoring events; 4) different options for handling competing events in the case of survival outcomes; 5) a random measurement/visit process; 6) joint interventions on multiple treatments; and 7) general incorporation of a priori knowledge of the data structure.
Author: Victoria Lin [aut] , Sean McGrath [aut, cre] , Zilu Zhang [aut], Roger W. Logan [aut], Lucia C. Petito [aut], Jessica G. Young [aut] , Miguel A. Hernan [aut] , 2019 The President and Fellows of Harvard College [cph]
Maintainer: Sean McGrath <sean_mcgrath@g.harvard.edu>

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Package Directional updated to version 5.7 with previous version 5.6 dated 2022-09-22

Title: A Collection of Functions for Directional Data Analysis
Description: A collection of functions for directional data (including massive data, with millions of observations) analysis. Hypothesis testing, discriminant and regression analysis, MLE of distributions and more are included. The standard textbook for such data is the "Directional Statistics" by Mardia, K. V. and Jupp, P. E. (2000). Other references include a) Phillip J. Paine, Simon P. Preston Michail Tsagris and Andrew T. A. Wood (2018). An elliptically symmetric angular Gaussian distribution. Statistics and Computing 28(3): 689-697. <doi:10.1007/s11222-017-9756-4>. b) Tsagris M. and Alenazi A. (2019). Comparison of discriminant analysis methods on the sphere. Communications in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491. <doi:10.1080/23737484.2019.1684854>. c) P. J. Paine, S. P. Preston, M. Tsagris and Andrew T. A. Wood (2020). Spherical regression models with general covariates and anisotropic errors. Statistics and Computing 30(1): 153--165. <doi:10. [...truncated...]
Author: Michail Tsagris, Giorgos Athineou, Christos Adam, Anamul Sajib, Eli Amson, Micah J. Waldstein
Maintainer: Michail Tsagris <mtsagris@uoc.gr>

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Package KMunicate updated to version 0.2.3 with previous version 0.2.2 dated 2022-08-16

Title: KMunicate-Style Kaplan–Meier Plots
Description: Produce Kaplan–Meier plots in the style recommended following the KMunicate study by Morris et al. (2019) <doi:10.1136/bmjopen-2019-030215>. The KMunicate style consists of Kaplan-Meier curves with confidence intervals to quantify uncertainty and an extended risk table (per treatment arm) depicting the number of study subjects at risk, events, and censored observations over time. The resulting plots are built using 'ggplot2' and can be further customised to a certain extent, including themes, fonts, and colour scales.
Author: Alessandro Gasparini [aut, cre, cph] , Ary Serpa Neto [ctb]
Maintainer: Alessandro Gasparini <alessandro@ellessenne.xyz>

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Package VGAMdata updated to version 1.1-8 with previous version 1.1-6 dated 2022-02-14

Title: Data Supporting the 'VGAM' Package
Description: Mainly data sets to accompany the VGAM package and the book "Vector Generalized Linear and Additive Models: With an Implementation in R" (Yee, 2015) <DOI:10.1007/978-1-4939-2818-7>. These are used to illustrate vector generalized linear and additive models (VGLMs/VGAMs), and associated models (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and constrained and unconstrained ordination models in ecology). This package now contains some old VGAM family functions which have been replaced by newer ones (often because they are now special cases).
Author: Thomas Yee [aut, cre, cph] , James Gray [dtc]
Maintainer: Thomas Yee <t.yee@auckland.ac.nz>

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 man/oapospoisUC.Rd      |    5 -
 man/oapospoisson.Rd     |   50 ++++++++------
 man/oazetaUC.Rd         |    5 -
 man/oilog.Rd            |   16 ++--
 man/oilogUC.Rd          |   40 ++++++-----
 man/oiposbinomUC.Rd     |   48 +++++++------
 man/oiposbinomial.Rd    |   63 +++++++++---------
 man/oipospoisUC.Rd      |   53 ++++++++-------
 man/oizeta.Rd           |   18 +++--
 man/oizetaUC.Rd         |   36 +++++-----
 man/oizipf.Rd           |   27 ++++---
 man/oizipfUC.Rd         |   47 ++++++-------
 man/otlog.Rd            |   17 ++--
 man/otlogUC.Rd          |   15 ++--
 man/otpospoisUC.Rd      |   11 +--
 man/otpospoisson.Rd     |   15 ++--
 man/otzeta.Rd           |   21 +++---
 man/otzetaUC.Rd         |   15 ++--
 man/posbinomUC.Rd       |   40 +++++------
 man/posnegbinUC.Rd      |   57 ++++++++--------
 man/pospoisUC.Rd        |    4 -
 man/rar.df.Rd           |only
 man/smqP.Rd             |only
 man/tikuv.Rd            |   41 +++++++----
 man/tikuvUC.Rd          |    4 -
 man/ugss.Rd             |   22 ++++--
 man/wffc.P2star.Rd      |   54 +++++++++------
 man/wffc.Rd             |  149 ++++++++++++++++++++++++++++---------------
 man/wffc.indiv.Rd       |   30 +++++---
 man/wffc.nc.Rd          |   22 ++++--
 man/wffc.teams.Rd       |   18 +++--
 man/xs.nz.Rd            |   78 +++++++++++++++-------
 man/yip88.Rd            |   76 ++++++++++++++-------
 86 files changed, 792 insertions(+), 571 deletions(-)

More information about VGAMdata at CRAN
Permanent link

New package rKIN with initial version 0.3.0
Package: rKIN
Title: (Kernel) Isotope Niche Estimation
Version: 0.3.0
Date: 2022-12-28
URL: https://github.com/salbeke/rKIN
BugReports: https://github.com/salbeke/rKIN/issues
Depends: R (>= 2.10), maptools, ks
Imports: ggplot2, MASS, sp, rgeos, RColorBrewer
Maintainer: Shannon E Albeke <salbeke@uwyo.edu>
Description: Applies methods used to estimate animal homerange, but instead of geospatial coordinates, we use isotopic coordinates. The estimation methods include: 1) 2-dimensional bivariate normal kernel utilization density estimator, 2) bivariate normal ellipse estimator, and 3) minimum convex polygon estimator, all applied to stable isotope data. Additionally, functions to determine niche area, polygon overlap between groups and levels (confidence contours) and plotting capabilities.
License: GPL (>= 3)
LazyData: TRUE
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-10 16:26:23 UTC; wkirkpa2
Author: Shannon E Albeke [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-11 19:30:02 UTC

More information about rKIN at CRAN
Permanent link

New package hmmTMB with initial version 1.0.0
Package: hmmTMB
Title: Fit Hidden Markov Models using Template Model Builder
Version: 1.0.0
Maintainer: Theo Michelot <theo.michelot@dal.ca>
Description: Fitting hidden Markov models using automatic differentiation and Laplace approximation, allowing for fast inference and flexible covariate effects (including random effects and smoothing splines) on model parameters. The package is described by Michelot (2022) <arXiv:2211.14139>.
URL: https://github.com/TheoMichelot/hmmTMB
License: GPL-3
Depends: R6, mgcv, TMB, ggplot2
Imports: Matrix, stringr, optimx, CircStats, MASS, tmbstan, methods
LinkingTo: TMB, RcppEigen
Suggests: rstan, testthat, knitr, moveHMM, scico, MSwM, unmarked
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-09 21:42:47 UTC; theo
Author: Theo Michelot [aut, cre], Richard Glennie [aut, ctb]
Repository: CRAN
Date/Publication: 2023-01-11 19:20:02 UTC

More information about hmmTMB at CRAN
Permanent link

Package timechange updated to version 0.2.0 with previous version 0.1.1 dated 2022-11-04

Title: Efficient Manipulation of Date-Times
Description: Efficient routines for manipulation of date-time objects while accounting for time-zones and daylight saving times. The package includes utilities for updating of date-time components (year, month, day etc.), modification of time-zones, rounding of date-times, period addition and subtraction etc. Parts of the 'CCTZ' source code, released under the Apache 2.0 License, are included in this package. See <https://github.com/google/cctz> for more details.
Author: Vitalie Spinu [aut, cre], Google Inc. [ctb, cph]
Maintainer: Vitalie Spinu <spinuvit@gmail.com>

Diff between timechange versions 0.1.1 dated 2022-11-04 and 0.2.0 dated 2023-01-11

 timechange-0.1.1/timechange/tests/testthat/utils.R         |only
 timechange-0.2.0/timechange/DESCRIPTION                    |    8 
 timechange-0.2.0/timechange/MD5                            |   55 +-
 timechange-0.2.0/timechange/NEWS.md                        |   28 +
 timechange-0.2.0/timechange/R/addition.R                   |   67 ++-
 timechange-0.2.0/timechange/R/cpp11.R                      |    8 
 timechange-0.2.0/timechange/R/get.R                        |    2 
 timechange-0.2.0/timechange/R/package.R                    |    2 
 timechange-0.2.0/timechange/R/round.R                      |  119 +++--
 timechange-0.2.0/timechange/R/update.R                     |    4 
 timechange-0.2.0/timechange/R/utils.R                      |   86 ----
 timechange-0.2.0/timechange/R/zones.R                      |    2 
 timechange-0.2.0/timechange/README.md                      |    5 
 timechange-0.2.0/timechange/man/time_add.Rd                |   60 ++
 timechange-0.2.0/timechange/man/time_round.Rd              |   59 +-
 timechange-0.2.0/timechange/man/time_update.Rd             |   19 
 timechange-0.2.0/timechange/src/common.cpp                 |   44 +-
 timechange-0.2.0/timechange/src/common.h                   |   31 -
 timechange-0.2.0/timechange/src/cpp11.cpp                  |   20 
 timechange-0.2.0/timechange/src/parse.c                    |  263 ++++---------
 timechange-0.2.0/timechange/src/round.cpp                  |   49 +-
 timechange-0.2.0/timechange/src/tzone.cpp                  |    2 
 timechange-0.2.0/timechange/src/update.cpp                 |   42 +-
 timechange-0.2.0/timechange/tests/testthat.R               |    8 
 timechange-0.2.0/timechange/tests/testthat/helpers.R       |only
 timechange-0.2.0/timechange/tests/testthat/test-addition.R |   35 +
 timechange-0.2.0/timechange/tests/testthat/test-get.R      |   10 
 timechange-0.2.0/timechange/tests/testthat/test-parse.R    |only
 timechange-0.2.0/timechange/tests/testthat/test-round.R    |   45 ++
 timechange-0.2.0/timechange/tests/testthat/test-update.R   |   11 
 30 files changed, 633 insertions(+), 451 deletions(-)

More information about timechange at CRAN
Permanent link

Package shapviz updated to version 0.4.1 with previous version 0.4.0 dated 2022-12-09

Title: SHAP Visualizations
Description: Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall plots, force plots, various types of importance plots, and dependence plots. These plots act on a 'shapviz' object created from a matrix of SHAP values and a corresponding feature dataset. Wrappers for the R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap', and 'kernelshap' are added for convenience. By separating visualization and computation, it is possible to display factor variables in graphs, even if the SHAP values are calculated by a model that requires numerical features. The plots are inspired by those provided by the 'shap' package in Python, but there is no dependency on it.
Author: Michael Mayer [aut, cre]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between shapviz versions 0.4.0 dated 2022-12-09 and 0.4.1 dated 2023-01-11

 DESCRIPTION                 |    6 -
 MD5                         |   22 +++---
 NEWS.md                     |    6 +
 R/bee.R                     |    6 -
 R/sv_importance.R           |   52 +++++++++------
 README.md                   |   16 ++--
 build/vignette.rds          |binary
 inst/doc/shapviz.Rmd        |   16 ++--
 inst/doc/shapviz.html       |  150 +++++++++++++++++++++-----------------------
 man/sv_importance.Rd        |   15 +++-
 tests/testthat/test-plots.R |    9 ++
 vignettes/shapviz.Rmd       |   16 ++--
 12 files changed, 175 insertions(+), 139 deletions(-)

More information about shapviz at CRAN
Permanent link

Package etwfe updated to version 0.2.0 with previous version 0.1.0 dated 2022-12-14

Title: Extended Two-Way Fixed Effects
Description: Convenience functions for implementing extended two-way fixed effect regressions a la Wooldridge (2021, 2022) <doi:10.2139/ssrn.3906345>, <doi:10.2139/ssrn.4183726>.
Author: Grant McDermott [aut, cre]
Maintainer: Grant McDermott <grantmcd@uoregon.edu>

Diff between etwfe versions 0.1.0 dated 2022-12-14 and 0.2.0 dated 2023-01-11

 DESCRIPTION                |   10 
 MD5                        |   30 +-
 NEWS.md                    |   27 ++
 R/emfx.R                   |   16 +
 R/etwfe.R                  |   33 +-
 README.md                  |   41 ++-
 build/vignette.rds         |binary
 inst/doc/etwfe.R           |   55 +++-
 inst/doc/etwfe.Rmd         |  135 ++++++++---
 inst/doc/etwfe.html        |  529 ++++++++++++++++++++++++++++++++-------------
 inst/tinytest/test_baker.R |   10 
 inst/tinytest/test_emfx.R  |   74 +++++-
 inst/tinytest/test_etwfe.R |   51 ++++
 man/emfx.Rd                |   17 +
 man/etwfe.Rd               |   16 -
 vignettes/etwfe.Rmd        |  135 ++++++++---
 16 files changed, 880 insertions(+), 299 deletions(-)

More information about etwfe at CRAN
Permanent link

Package pomp updated to version 4.6 with previous version 4.5 dated 2022-12-20

Title: Statistical Inference for Partially Observed Markov Processes
Description: Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Author: Aaron A. King [aut, cre], Edward L. Ionides [aut], Carles Breto [aut], Stephen P. Ellner [ctb], Matthew J. Ferrari [ctb], Sebastian Funk [ctb], Steven G. Johnson [ctb], Bruce E. Kendall [ctb], Michael Lavine [ctb], Dao Nguyen [ctb], Eamon B. O'Dea [c [...truncated...]
Maintainer: Aaron A. King <kingaa@umich.edu>

Diff between pomp versions 4.5 dated 2022-12-20 and 4.6 dated 2023-01-11

 pomp-4.5/pomp/R/pipe.R               |only
 pomp-4.5/pomp/man/pipe.Rd            |only
 pomp-4.6/pomp/DESCRIPTION            |   44 +++---
 pomp-4.6/pomp/MD5                    |  226 +++++++++++++++++------------------
 pomp-4.6/pomp/NAMESPACE              |   42 ++++--
 pomp-4.6/pomp/R/aaa.R                |only
 pomp-4.6/pomp/R/abc.R                |    6 
 pomp-4.6/pomp/R/as_data_frame.R      |   59 +++------
 pomp-4.6/pomp/R/as_pomp.R            |    6 
 pomp-4.6/pomp/R/basic_probes.R       |   54 ++++----
 pomp-4.6/pomp/R/bsmc2.R              |    6 
 pomp-4.6/pomp/R/bsplines.R           |   21 +--
 pomp-4.6/pomp/R/builder.R            |   13 +-
 pomp-4.6/pomp/R/cond_logLik.R        |   85 ++++++++++---
 pomp-4.6/pomp/R/csnippet.R           |    1 
 pomp-4.6/pomp/R/dacca.R              |    2 
 pomp-4.6/pomp/R/deprecated.R         |only
 pomp-4.6/pomp/R/ebola.R              |   42 +++---
 pomp-4.6/pomp/R/eff_sample_size.R    |   63 +++++++--
 pomp-4.6/pomp/R/filter_mean.R        |   47 ++++---
 pomp-4.6/pomp/R/filter_traj.R        |   54 ++++----
 pomp-4.6/pomp/R/forecast.R           |   34 +++--
 pomp-4.6/pomp/R/gompertz.R           |    6 
 pomp-4.6/pomp/R/listie.R             |   12 -
 pomp-4.6/pomp/R/logmeanexp.R         |   45 ++++--
 pomp-4.6/pomp/R/melt.R               |   79 +++++++++---
 pomp-4.6/pomp/R/mif2.R               |    8 -
 pomp-4.6/pomp/R/nlf.R                |    4 
 pomp-4.6/pomp/R/obs.R                |   17 ++
 pomp-4.6/pomp/R/ou2.R                |    6 
 pomp-4.6/pomp/R/pfilter.R            |   31 ++--
 pomp-4.6/pomp/R/plot.R               |   16 +-
 pomp-4.6/pomp/R/pmcmc.R              |   28 +++-
 pomp-4.6/pomp/R/pomp.R               |    4 
 pomp-4.6/pomp/R/pred_mean.R          |   48 ++++---
 pomp-4.6/pomp/R/pred_var.R           |   34 +++--
 pomp-4.6/pomp/R/probe.R              |    4 
 pomp-4.6/pomp/R/proposals.R          |   14 +-
 pomp-4.6/pomp/R/rprocess_spec.R      |    8 -
 pomp-4.6/pomp/R/saved_states.R       |   47 ++++---
 pomp-4.6/pomp/R/sir.R                |    4 
 pomp-4.6/pomp/R/slice_design.R       |    2 
 pomp-4.6/pomp/R/sobol_design.R       |    2 
 pomp-4.6/pomp/R/spect.R              |    4 
 pomp-4.6/pomp/R/spect_match.R        |   17 +-
 pomp-4.6/pomp/R/spy.R                |    2 
 pomp-4.6/pomp/R/states.R             |   17 ++
 pomp-4.6/pomp/R/templates.R          |    4 
 pomp-4.6/pomp/R/verhulst.R           |    5 
 pomp-4.6/pomp/R/wpfilter.R           |    4 
 pomp-4.6/pomp/inst/NEWS              |   44 ++++++
 pomp-4.6/pomp/inst/NEWS.Rd           |   21 +++
 pomp-4.6/pomp/inst/doc/index.html    |    1 
 pomp-4.6/pomp/inst/include/pomp.h    |   18 +-
 pomp-4.6/pomp/man/accumulators.Rd    |   20 +--
 pomp-4.6/pomp/man/as_pomp.Rd         |    6 
 pomp-4.6/pomp/man/basic_probes.Rd    |   44 +++---
 pomp-4.6/pomp/man/bsflu.Rd           |    4 
 pomp-4.6/pomp/man/bsmc2.Rd           |   14 +-
 pomp-4.6/pomp/man/bsplines.Rd        |   21 +--
 pomp-4.6/pomp/man/coef.Rd            |   14 +-
 pomp-4.6/pomp/man/cond_logLik.Rd     |   57 ++++----
 pomp-4.6/pomp/man/covmat.Rd          |   14 +-
 pomp-4.6/pomp/man/dmeasure_spec.Rd   |    4 
 pomp-4.6/pomp/man/ebola.Rd           |    8 -
 pomp-4.6/pomp/man/eff_sample_size.Rd |   46 +++----
 pomp-4.6/pomp/man/filter_mean.Rd     |   42 +++---
 pomp-4.6/pomp/man/filter_traj.Rd     |   52 ++++----
 pomp-4.6/pomp/man/forecast.Rd        |   20 +--
 pomp-4.6/pomp/man/gompertz.Rd        |    2 
 pomp-4.6/pomp/man/kalman.Rd          |   14 +-
 pomp-4.6/pomp/man/kf.Rd              |   12 -
 pomp-4.6/pomp/man/loglik.Rd          |   14 +-
 pomp-4.6/pomp/man/logmeanexp.Rd      |   12 +
 pomp-4.6/pomp/man/melt.Rd            |   48 +++----
 pomp-4.6/pomp/man/mif2.Rd            |   14 +-
 pomp-4.6/pomp/man/nlf.Rd             |    2 
 pomp-4.6/pomp/man/obs.Rd             |   16 +-
 pomp-4.6/pomp/man/ou2.Rd             |    6 
 pomp-4.6/pomp/man/parameter_trans.Rd |    2 
 pomp-4.6/pomp/man/parus.Rd           |    6 
 pomp-4.6/pomp/man/pfilter.Rd         |   38 ++---
 pomp-4.6/pomp/man/pmcmc.Rd           |   14 +-
 pomp-4.6/pomp/man/pomp-deprecated.Rd |only
 pomp-4.6/pomp/man/pred_mean.Rd       |   42 +++---
 pomp-4.6/pomp/man/pred_var.Rd        |   38 +++--
 pomp-4.6/pomp/man/prior_spec.Rd      |   10 -
 pomp-4.6/pomp/man/probe_match.Rd     |   24 +--
 pomp-4.6/pomp/man/proposals.Rd       |   12 -
 pomp-4.6/pomp/man/ricker.Rd          |    2 
 pomp-4.6/pomp/man/rinit_spec.Rd      |    4 
 pomp-4.6/pomp/man/rmeasure_spec.Rd   |    4 
 pomp-4.6/pomp/man/rw2.Rd             |    6 
 pomp-4.6/pomp/man/rw_sd.Rd           |    8 -
 pomp-4.6/pomp/man/saved_states.Rd    |   42 +++---
 pomp-4.6/pomp/man/sir.Rd             |    2 
 pomp-4.6/pomp/man/skeleton_spec.Rd   |    6 
 pomp-4.6/pomp/man/spect_match.Rd     |    8 -
 pomp-4.6/pomp/man/spy.Rd             |   14 +-
 pomp-4.6/pomp/man/states.Rd          |   16 +-
 pomp-4.6/pomp/man/summary.Rd         |   14 +-
 pomp-4.6/pomp/man/time.Rd            |   14 +-
 pomp-4.6/pomp/man/timezero.Rd        |   14 +-
 pomp-4.6/pomp/man/traces.Rd          |   14 +-
 pomp-4.6/pomp/man/traj_match.Rd      |    6 
 pomp-4.6/pomp/man/verhulst.Rd        |    5 
 pomp-4.6/pomp/man/wpfilter.Rd        |   18 +-
 pomp-4.6/pomp/src/bspline.c          |   37 ++---
 pomp-4.6/pomp/src/distributions.c    |   20 +--
 pomp-4.6/pomp/src/euler.c            |  126 ++++++++-----------
 pomp-4.6/pomp/src/gompertz.c         |   14 +-
 pomp-4.6/pomp/src/init.c             |    2 
 pomp-4.6/pomp/src/logmeanexp.c       |only
 pomp-4.6/pomp/src/ou2.c              |    2 
 pomp-4.6/pomp/src/pomp.h             |   18 +-
 pomp-4.6/pomp/src/pomp_decls.h       |   16 +-
 pomp-4.6/pomp/src/pomp_fun.c         |   28 +---
 117 files changed, 1433 insertions(+), 1080 deletions(-)

More information about pomp at CRAN
Permanent link

Package kernelshap updated to version 0.3.3 with previous version 0.3.2 dated 2022-12-17

Title: Kernel SHAP
Description: Multidimensional refinement of the Kernel SHAP algorithm described in Ian Covert and Su-In Lee (2021) <http://proceedings.mlr.press/v130/covert21a>. The package allows to calculate Kernel SHAP values in an exact way, by iterative sampling (as in the reference above), or by a hybrid of the two. As soon as sampling is involved, the algorithm iterates until convergence, and standard errors are provided. The package works with any model that provides numeric predictions of dimension one or higher. Examples include linear regression, logistic regression (on logit or probability scale), other generalized linear models, generalized additive models, and neural networks. The package plays well together with meta-learning packages like 'tidymodels', 'caret' or 'mlr3'. Visualizations can be done using the R package 'shapviz'.
Author: Michael Mayer [aut, cre], David Watson [ctb]
Maintainer: Michael Mayer <mayermichael79@gmail.com>

Diff between kernelshap versions 0.3.2 dated 2022-12-17 and 0.3.3 dated 2023-01-11

 DESCRIPTION                         |    8 
 MD5                                 |   24 
 NAMESPACE                           |    2 
 NEWS.md                             |    7 
 R/kernelshap.R                      |    4 
 R/utils.R                           |   28 
 README.md                           |  126 +
 man/figures/README-lm-dep.svg       | 2600 ++++++++++++++++----------------
 man/figures/README-lm-imp.svg       |  446 ++---
 man/figures/README-lm-waterfall.svg |  714 ++++-----
 man/figures/README-nn-dep.svg       | 2848 ++++++++++++++++++------------------
 man/figures/README-nn-imp.svg       |  526 +++---
 man/figures/README-rf-dep.svg       | 2718 +++++++++++++++++-----------------
 13 files changed, 5084 insertions(+), 4967 deletions(-)

More information about kernelshap at CRAN
Permanent link

Package SqlRender updated to version 1.11.1 with previous version 1.11.0 dated 2022-12-02

Title: Rendering Parameterized SQL and Translation to Dialects
Description: A rendering tool for parameterized SQL that also translates into different SQL dialects. These dialects include 'Microsoft SQL Server', 'Oracle', 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics Dedicated', 'Apache Spark', and 'SQLite'.
Author: Martijn Schuemie [aut, cre], Marc Suchard [aut]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

Diff between SqlRender versions 1.11.0 dated 2022-12-02 and 1.11.1 dated 2023-01-11

 DESCRIPTION                                     |   10 +--
 MD5                                             |   72 ++++++++++++------------
 NEWS.md                                         |   14 ++++
 R/HelperFunctions.R                             |    2 
 R/RenderSql.R                                   |   18 +++++-
 R/ShinyApps.R                                   |    2 
 R/SparkSql.R                                    |    2 
 R/SqlRender.R                                   |    2 
 README.md                                       |    2 
 inst/csv/replacementPatterns.csv                |    7 +-
 inst/doc/UsingSqlRender.pdf                     |binary
 java/org/ohdsi/sql/BigQuerySparkTranslate.java  |    2 
 java/org/ohdsi/sql/JarChecksum.java             |    2 
 java/org/ohdsi/sql/MainClass.java               |    2 
 java/org/ohdsi/sql/SqlRender.java               |    2 
 java/org/ohdsi/sql/SqlSplit.java                |    2 
 java/org/ohdsi/sql/SqlTranslate.java            |    2 
 java/org/ohdsi/sql/StringUtils.java             |    2 
 man/SqlRender-package.Rd                        |    2 
 man/translate.Rd                                |    2 
 tests/testthat/test-helperFunctions.R           |    8 +-
 tests/testthat/test-translate-bigquery.R        |    7 +-
 tests/testthat/test-translate-duckdb.R          |    2 
 tests/testthat/test-translate-hive.R            |    2 
 tests/testthat/test-translate-impala.R          |    2 
 tests/testthat/test-translate-netezza.R         |    2 
 tests/testthat/test-translate-oracle.R          |    2 
 tests/testthat/test-translate-pdw.R             |    2 
 tests/testthat/test-translate-postgresql.R      |    2 
 tests/testthat/test-translate-redshift.R        |    2 
 tests/testthat/test-translate-snowflake.R       |    2 
 tests/testthat/test-translate-spark.R           |    2 
 tests/testthat/test-translate-sql_server.R      |    2 
 tests/testthat/test-translate-sqlite-extended.R |    2 
 tests/testthat/test-translate-sqlite.R          |   17 +++++
 tests/testthat/test-translate-synapse.R         |    2 
 tests/testthat/test-translateSql.R              |   14 ++++
 37 files changed, 141 insertions(+), 80 deletions(-)

More information about SqlRender at CRAN
Permanent link

New package roxytest with initial version 0.0.2
Package: roxytest
Title: Various Tests with 'roxygen2'
Version: 0.0.2
Maintainer: Mikkel Meyer Andersen <mikl@math.aau.dk>
Description: Various tests as 'roxygen2' roclets: e.g. 'testthat' and 'tinytest' tests. Also other static analysis tools as checking parameter documentation consistency and others.
License: GPL (>= 2)
Imports: roxygen2, methods
Depends: R (>= 2.10)
Suggests: testthat (>= 2.1.0), tinytest (>= 1.1.0), knitr, rmarkdown
BugReports: https://github.com/mikldk/roxytest/issues
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-11 10:40:33 UTC; mikl
Author: Mikkel Meyer Andersen [aut, cre], Ege Rubak [ctb]
Repository: CRAN
Date/Publication: 2023-01-11 15:50:02 UTC

More information about roxytest at CRAN
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Package robust2sls updated to version 0.2.2 with previous version 0.2.1 dated 2022-08-15

Title: Outlier Robust Two-Stage Least Squares Inference and Testing
Description: An implementation of easy tools for outlier robust inference in two-stage least squares (2SLS) models. The user specifies a reference distribution against which observations are classified as outliers or not. After removing the outliers, adjusted standard errors are automatically provided. Furthermore, several statistical tests for the false outlier detection rate can be calculated. The outlier removing algorithm can be iterated a fixed number of times or until the procedure converges. The algorithms and robust inference are described in more detail in Jiao (2019) <https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view>.
Author: Jonas Kurle [aut, cre]
Maintainer: Jonas Kurle <mail@jonaskurle.com>

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Package paws.common updated to version 0.5.4 with previous version 0.5.3 dated 2022-12-06

Title: Paws Low-Level Amazon Web Services API
Description: Functions for making low-level API requests to Amazon Web Services <https://aws.amazon.com>. The functions handle building, signing, and sending requests, and receiving responses. They are designed to help build higher-level interfaces to individual services, such as Simple Storage Service (S3).
Author: David Kretch [aut], Adam Banker [aut], Dyfan Jones [cre], Amazon.com, Inc. [cph]
Maintainer: Dyfan Jones <dyfan.r.jones@gmail.com>

Diff between paws.common versions 0.5.3 dated 2022-12-06 and 0.5.4 dated 2023-01-11

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New package pkgmaker with initial version 0.32.7
Package: pkgmaker
Title: Development Utilities for R Packages
Version: 0.32.7
Date: 2023-01-11
Description: Provides some low-level utilities to use for package development. It currently provides managers for multiple package specific options and registries, vignette, unit test and bibtex related utilities. It serves as a base package for packages like 'NMF', 'RcppOctave', 'doRNG', and as an incubator package for other general purposes utilities, that will eventually be packaged separately. It is still under heavy development and changes in the interface(s) are more than likely to happen.
License: GPL (>= 2)
URL: https://renozao.github.io/pkgmaker/
BugReports: https://github.com/renozao/pkgmaker/issues
LazyLoad: yes
Encoding: UTF-8
Depends: R (>= 3.0.0), methods, stats, registry
Imports: tools, grDevices, utils, graphics, codetools, digest, stringr, xtable, withr, assertthat
Suggests: devtools (>= 0.8), roxygen2, RUnit, testthat, knitr, rmarkdown, markdown, yaml, Biobase, datasets, rbibutils (>= 1.3)
NeedsCompilation: no
Packaged: 2023-01-11 13:54:05 UTC; renaud
Author: Renaud Gaujoux [aut, cre]
Maintainer: Renaud Gaujoux <renozao@protonmail.com>
Repository: CRAN
Date/Publication: 2023-01-11 15:50:05 UTC

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Package SCpubr updated to version 1.1.0 with previous version 1.0.4 dated 2022-11-07

Title: Generate Publication Ready Visualizations of Single Cell Transcriptomics Data
Description: A system that provides a streamlined way of generating publication ready plots for known Single-Cell transcriptomics data in a “publication ready” format. This is, the goal is to automatically generate plots with the highest quality possible, that can be used right away or with minimal modifications for a research article.
Author: Enrique Blanco-Carmona [cre, aut]
Maintainer: Enrique Blanco-Carmona <scpubr@gmail.com>

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Package qlcal updated to version 0.0.4 with previous version 0.0.3 dated 2022-10-19

Title: R Bindings to the Calendaring Functionality of 'QuantLib'
Description: 'QuantLib' bindings are provided for R using 'Rcpp' via an evolved version of the initial header-only 'Quantuccia' project offering an subset of 'QuantLib' (now maintained separately just for the calendaring subset). See the included file 'AUTHORS' for a full list of contributors to 'QuantLib' (and hence also 'Quantuccia').
Author: Dirk Eddelbuettel; the authors and contributors of QuantLib
Maintainer: Dirk Eddelbuettel <edd@debian.org>

Diff between qlcal versions 0.0.3 dated 2022-10-19 and 0.0.4 dated 2023-01-11

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Package EvidenceSynthesis updated to version 0.4.0 with previous version 0.3.0 dated 2022-09-09

Title: Synthesizing Causal Evidence in a Distributed Research Network
Description: Routines for combining causal effect estimates and study diagnostics across multiple data sites in a distributed study, without sharing patient-level data. Allows for normal and non-normal approximations of the data-site likelihood of the effect parameter.
Author: Martijn Schuemie [aut, cre], Marc A. Suchard [aut], Observational Health Data Science and Informatics [cph]
Maintainer: Martijn Schuemie <schuemie@ohdsi.org>

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Package ffmetadata (with last version 1.0.0) was removed from CRAN

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

2018-11-19 1.0.0

Permanent link
Package TNRS updated to version 0.3.3 with previous version 0.3.2 dated 2023-01-09

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

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Package ebirdst updated to version 1.2021.3 with previous version 1.2021.2 dated 2023-01-06

Title: Access and Analyze eBird Status and Trends Data
Description: Tools to download, load, plot, and analyze eBird Status and Trends Data Products (<https://science.ebird.org/en/status-and-trends>). eBird (<https://ebird.org/home>) is a global database of bird observations collected by member of the public. eBird Status and Trends uses these data to model global bird abundances, range boundaries, and habitat associations at a high spatial and temporal resolution.
Author: Matthew Strimas-Mackey [aut, cre] , Shawn Ligocki [aut], Tom Auer [aut] , Daniel Fink [aut] , Cornell Lab of Ornithology [cph]
Maintainer: Matthew Strimas-Mackey <mes335@cornell.edu>

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Package statgenSTA updated to version 1.0.11 with previous version 1.0.10 dated 2022-12-01

Title: Single Trial Analysis (STA) of Field Trials
Description: Phenotypic analysis of field trials using mixed models with and without spatial components. One of a series of statistical genetic packages for streamlining the analysis of typical plant breeding experiments developed by Biometris. Some functions have been created to be used in conjunction with the R package 'asreml' for the 'ASReml' software, which can be obtained upon purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r>).
Author: Bart-Jan van Rossum [aut, cre] , Fred van Eeuwijk [ctb] , Martin Boer [ctb] , Marcos Malosetti [ctb] , Daniela Bustos-Korts [ctb] , Emilie J. Millet [ctb] , Joao Paulo [ctb] , Maikel Verouden [ctb] , Willem Kruijer [ctb] , Ron Wehrens [ctb] , Choazhi [...truncated...]
Maintainer: Bart-Jan van Rossum <bart-jan.vanrossum@wur.nl>

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Package parameters updated to version 0.20.1 with previous version 0.20.0 dated 2022-11-21

Title: Processing of Model Parameters
Description: Utilities for processing the parameters of various statistical models. Beyond computing p values, CIs, and other indices for a wide variety of models (see list of supported models using the function 'insight::supported_models()'), this package implements features like bootstrapping or simulating of parameters and models, feature reduction (feature extraction and variable selection) as well as functions to describe data and variable characteristics (e.g. skewness, kurtosis, smoothness or distribution).
Author: Daniel Luedecke [aut, cre] , Dominique Makowski [aut] , Mattan S. Ben-Shachar [aut] , Indrajeet Patil [aut] , Soeren Hoejsgaard [aut], Brenton M. Wiernik [aut] , Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] , Jeffrey Girard [ctb] , Christina Maimone [re [...truncated...]
Maintainer: Daniel Luedecke <d.luedecke@uke.de>

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 parameters-0.20.1/parameters/R/methods_rstan.R                                      |    6 
 parameters-0.20.1/parameters/R/methods_rstanarm.R                                   |    3 
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 200 files changed, 2482 insertions(+), 2390 deletions(-)

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Package icesTAF updated to version 4.0.2 with previous version 4.0.0 dated 2022-09-07

Title: Functions to Support the ICES Transparent Assessment Framework
Description: Functions to support the ICES Transparent Assessment Framework <https://taf.ices.dk> to organize data, methods, and results used in ICES assessments. ICES is an organization facilitating international collaboration in marine science.
Author: Colin Millar [aut, cre], Arni Magnusson [aut], Alexandros Kokkalis [ctb], Iago Mosqueira [ctb], Ibrahim Umar [ctb], Hjalte Parner [ctb]
Maintainer: Colin Millar <colin.millar@ices.dk>

Diff between icesTAF versions 4.0.0 dated 2022-09-07 and 4.0.2 dated 2023-01-11

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 15 files changed, 179 insertions(+), 19 deletions(-)

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Package codeCollection updated to version 0.1.3 with previous version 0.1.2 dated 2021-03-31

Title: Collection of Codes with Labels
Description: Includes several classifications such as International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD10), Anatomical Therapeutic Chemical (ATC) Classification, The International Classification of Diseases for Oncology (ICD-O-3), and International Classification of Primary Care (ICPC). Includes function that adds descriptive label to code value. Depending on classification following languages are available: English, Finnish, Swedish, and Latin.
Author: Jari Haukka [aut, cre]
Maintainer: Jari Haukka <jari.haukka@helsinki.fi>

Diff between codeCollection versions 0.1.2 dated 2021-03-31 and 0.1.3 dated 2023-01-11

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New package timeLineGraphics with initial version 1.0
Package: timeLineGraphics
Version: 1.0
Date: 2023-01-09
Title: HTML with Horizontal Strips Symbolizing Events in a Person's Life
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Depends: R (>= 4.2.0)
Imports: magick, berryFunctions, graphics, R2HTML, pdftools
Description: Produce an HTML page containing horizontal strips that symbolize events in a person's lsife. Since this is entirely a visualization, the image <https://barryzee.github.io/henry-timeline/henry.html> will show the basic use to show a timeline of events. The image <https://barryzee.github.io/vermeer/cssOverlay.html> shows how to correlate two timelines of events. A brief description is available at <https://barryzee.github.io/timeLineGraphics_manuscript/golden_age.html>.
License: GPL (>= 2)
Encoding: UTF-8
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
NeedsCompilation: no
Packaged: 2023-01-10 22:05:35 UTC; barryzeeberg
Author: Barry Zeeberg [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-11 10:20:02 UTC

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New package swaRm with initial version 0.6.0
Package: swaRm
Title: Processing Collective Movement Data
Version: 0.6.0
Date: 2023-01-10
Maintainer: Simon Garnier <garnier@njit.edu>
Description: Function library for processing collective movement data (e.g. fish schools, ungulate herds, baboon troops) collected from GPS trackers or computer vision tracking software.
License: GPL-3
Imports: stats, splancs, geosphere, lubridate, MASS
Suggests: covr, knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://swarm-lab.github.io/swaRm/, https://github.com/swarm-lab/swaRm
BugReports: https://github.com/swarm-lab/swaRm/issues
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-01-10 21:18:45 UTC; simon
Author: Simon Garnier [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-11 10:20:04 UTC

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Package stringi updated to version 1.7.12 with previous version 1.7.8 dated 2022-07-11

Title: Fast and Portable Character String Processing Facilities
Description: A collection of character string/text/natural language processing tools for pattern searching (e.g., with 'Java'-like regular expressions or the 'Unicode' collation algorithm), random string generation, case mapping, string transliteration, concatenation, sorting, padding, wrapping, Unicode normalisation, date-time formatting and parsing, and many more. They are fast, consistent, convenient, and - thanks to 'ICU' (International Components for Unicode) - portable across all locales and platforms. Documentation about 'stringi' is provided via its website at <https://stringi.gagolewski.com/> and the paper by Gagolewski (2022, <doi:10.18637/jss.v103.i02>).
Author: Marek Gagolewski [aut, cre, cph] , Bartek Tartanus [ctb], and others ; Unicode, Inc. and others
Maintainer: Marek Gagolewski <marek@gagolewski.com>

Diff between stringi versions 1.7.8 dated 2022-07-11 and 1.7.12 dated 2023-01-11

 DESCRIPTION                         |   16 
 INSTALL                             |    9 
 LICENSE                             |    2 
 MD5                                 |   68 
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 src/install.libs.R.in               |    2 
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 35 files changed, 2013 insertions(+), 1610 deletions(-)

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New package spectralAnalysis with initial version 4.3.1
Package: spectralAnalysis
Title: Pre-Process, Visualize and Analyse Spectral Data
Version: 4.3.1
Maintainer: Adriaan Blommaert <adriaan.blommaert@openanalytics.eu>
URL: https://openanalytics.eu
Description: Infrared, near-infrared and Raman spectroscopic data measured during chemical reactions, provide structural fingerprints by which molecules can be identified and quantified. The application of these spectroscopic techniques as inline process analytical tools (PAT), provides the pharmaceutical and chemical industry with novel tools, allowing to monitor their chemical processes, resulting in a better process understanding through insight in reaction rates, mechanistics, stability, etc. Data can be read into R via the generic spc-format, which is generally supported by spectrometer vendor software. Versatile pre-processing functions are available to perform baseline correction by linking to the 'baseline' package; noise reduction via the 'signal' package; as well as time alignment, normalization, differentiation, integration and interpolation. Implementation based on the S4 object system allows storing a pre-processing pipeline as part of a spectral data object, and easily transferring it [...truncated...]
License: GPL-3
Imports: baseline, BiocGenerics, data.table, ggplot2, graphics, jsonlite, magrittr, methods, nnls, NMF, plotly, plyr, dplyr, RColorBrewer, signal, stats, viridis, hNMF, zoo, pls
Suggests: testthat, knitr, rmarkdown, webshot, bookdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-10 16:05:25 UTC; ablommaert
Author: Robin Van Oirbeek [aut], Adriaan Blommaert [aut, cre], Nicolas Sauwen [aut], Tor Maes [ctb], Jan Dijkmans [ctb], Jef Cuypers [ctb], Tatsiana Khamiakova [ctb], Michel Thiel [ctb], Claudia Beleites [ctb]
Repository: CRAN
Date/Publication: 2023-01-11 10:00:02 UTC

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Package rsdmx updated to version 0.6-1 with previous version 0.6 dated 2021-02-06

Title: Tools for Reading SDMX Data and Metadata
Description: Set of classes and methods to read data and metadata documents exchanged through the Statistical Data and Metadata Exchange (SDMX) framework, currently focusing on the SDMX XML standard format (SDMX-ML).
Author: Emmanuel Blondel [aut, cre] , Matthieu Stigler [ctb] , Eric Persson [ctb]
Maintainer: Emmanuel Blondel <emmanuel.blondel1@gmail.com>

Diff between rsdmx versions 0.6 dated 2021-02-06 and 0.6-1 dated 2023-01-11

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New package rmstcompsens with initial version 0.1.5
Package: rmstcompsens
Title: Comparing Restricted Mean Survival Time as Sensitivity Analysis
Version: 0.1.5
Date: 2023-1-11
Author: Kentaro Ueno
Maintainer: Kentaro Ueno <ueno_kentaro@kuhp.kyoto-u.ac.jp>
Imports: survival, dplyr
Description: Performs two-sample comparisons using the restricted mean survival time (RMST) when survival curves end at different time points between groups. This package implements a sensitivity approach that allows the threshold timepoint tau to be specified after the longest survival time in the shorter survival group. Two kinds of between-group contrast estimators (the difference in RMST and the ratio of RMST) are computed: Uno et al(2014)<doi:10.1200/JCO.2014.55.2208>, Uno et al(2022)<https://CRAN.R-project.org/package=survRM2>, Ueno and Morita(2023)<doi:10.1007/s43441-022-00484-z>.
License: GPL-2
Encoding: UTF-8
LazyData: false
NeedsCompilation: no
Packaged: 2023-01-11 05:02:17 UTC; k.ueno
Repository: CRAN
Date/Publication: 2023-01-11 10:30:02 UTC

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Package recipes updated to version 1.0.4 with previous version 1.0.3 dated 2022-11-09

Title: Preprocessing and Feature Engineering Steps for Modeling
Description: A recipe prepares your data for modeling. We provide an extensible framework for pipeable sequences of feature engineering steps provides preprocessing tools to be applied to data. Statistical parameters for the steps can be estimated from an initial data set and then applied to other data sets. The resulting processed output can then be used as inputs for statistical or machine learning models.
Author: Max Kuhn [aut, cre], Hadley Wickham [aut], Posit Software PBC [cph]
Maintainer: Max Kuhn <max@posit.co>

Diff between recipes versions 1.0.3 dated 2022-11-09 and 1.0.4 dated 2023-01-11

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 NAMESPACE                                      |    4 
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New package predicts with initial version 0.1-6
Package: predicts
Title: Spatial Prediction Tools
Description: Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Version: 0.1-6
Date: 2023-01-10
Depends: R (>= 3.5.0), methods, terra
Suggests: disdat, rJava
Maintainer: Robert J. Hijmans <r.hijmans@gmail.com>
License: GPL (>= 3)
LazyLoad: yes
URL: https://rspatial.org/terra/sdm/
BugReports: https://github.com/rspatial/predicts/issues/
NeedsCompilation: no
Packaged: 2023-01-10 19:36:02 UTC; rhijm
Author: Robert J. Hijmans [cre, aut] , Steven Phillips [ctb], Chris Brunsdon [ctb]
Repository: CRAN
Date/Publication: 2023-01-11 10:10:12 UTC

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New package plotRCS with initial version 0.1.3
Package: plotRCS
Title: Plot Restricted Cubic Splines Curves
Version: 0.1.3
Maintainer: Rongrui Huo <huorongrui@sr.gxmu.edu.cn>
Description: Simple drawing of restricted cubic spline (RCS) curves through 'ggplot2' package from a logistic regression model or a Cox proportional hazards regression model. This method was described by Harrell FE (2015) <doi:10.1007/978-3-319-19425-7>.
License: GPL (>= 3)
Depends: R (>= 3.6.0)
Encoding: UTF-8
LazyData: true
Imports: ggplot2, rms
URL: https://github.com/KunHuo/plotRCS
NeedsCompilation: no
Packaged: 2023-01-11 09:39:09 UTC; Administrator
Author: Rongrui Huo [aut, cre]
Repository: CRAN
Date/Publication: 2023-01-11 10:40:16 UTC

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New package plantTracker with initial version 1.0.1
Package: plantTracker
Title: Extract Demographic and Competition Data from Fine-Scale Maps
Version: 1.0.1
Date: 2023-01-09
Author: Alice Stears [aut, cre] , Jared Studyvin [aut], David Atkins [aut]
Maintainer: Alice Stears <alice.e.stears@gmail.com>
Description: Extracts growth, survival, and local neighborhood density information from repeated, fine-scale maps of organism occurrence. Further information about this package can be found in our journal article, "plantTracker: An R package to translate maps of plant occurrence into demographic data" published in 2022 in Methods in Ecology and Evolution (Stears, et al., 2022) <doi:10.1111/2041-210X.13950>.
License: MIT + file LICENSE
URL: https://github.com/aestears/plantTracker
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, spelling, minidown, ggplot2
Imports: Matrix, igraph, sf, methods, stats, graphics, grDevices, units
VignetteBuilder: knitr
Language: en-US
NeedsCompilation: no
Packaged: 2023-01-10 23:25:48 UTC; alicestears
Repository: CRAN
Date/Publication: 2023-01-11 10:20:08 UTC

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Package PKNCA updated to version 0.10.1 with previous version 0.10.0 dated 2022-10-15

Title: Perform Pharmacokinetic Non-Compartmental Analysis
Description: Compute standard Non-Compartmental Analysis (NCA) parameters for typical pharmacokinetic analyses and summarize them.
Author: Bill Denney [aut, cre] , Clare Buckeridge [aut], Sridhar Duvvuri [ctb]
Maintainer: Bill Denney <wdenney@humanpredictions.com>

Diff between PKNCA versions 0.10.0 dated 2022-10-15 and 0.10.1 dated 2023-01-11

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Package MLMusingR updated to version 0.3.0 with previous version 0.2.0 dated 2022-05-10

Title: Practical Multilevel Modeling
Description: Convenience functions and datasets to be used with Practical Multilevel Modeling using R. The package includes functions for calculating group means, group mean centered variables, and displaying some basic missing data information. A function for computing robust standard errors for linear mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13> and Bell and 'McCaffrey' (2002) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ> is included as well as a function for checking for level-one homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).
Author: Francis Huang [aut, cre]
Maintainer: Francis Huang <flhuang2000@yahoo.com>

Diff between MLMusingR versions 0.2.0 dated 2022-05-10 and 0.3.0 dated 2023-01-11

 DESCRIPTION       |   13 +++++++------
 MD5               |   13 +++++++++----
 NAMESPACE         |   15 +++++++++++++++
 R/globals.R       |    2 +-
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More information about MLMusingR at CRAN
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Package longpower updated to version 1.0.24 with previous version 1.0.23 dated 2021-04-20

Title: Sample Size Calculations for Longitudinal Data
Description: Compute power and sample size for linear models of longitudinal data. Supported models include mixed-effects models and models fit by generalized least squares and generalized estimating equations. The package is described in Iddi and Donohue (2022) <DOI:10.32614/RJ-2022-022>. Relevant formulas are derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002) <ISBN:9780199676750>, and Lu, Luo, and Chen (2008) <DOI:10.2202/1557-4679.1098>.
Author: Michael C. Donohue [aut, cre], Steve D. Edland [ctb], Nan Hu [ctb]
Maintainer: Michael C. Donohue <mdonohue@usc.edu>

Diff between longpower versions 1.0.23 dated 2021-04-20 and 1.0.24 dated 2023-01-11

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 13 files changed, 893 insertions(+), 162 deletions(-)

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New package connectwidgets with initial version 0.2.0
Package: connectwidgets
Title: Organize and Curate Your Content Within 'Posit Connect'
Version: 0.2.0
Description: A collection of helper functions and 'htmlwidgets' to help publishers curate content collections on 'Posit Connect'. The components, Card, Grid, Table, Search, and Filter can be used to produce a showcase page or gallery contained within a static or interactive R Markdown page.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, lintr, rmarkdown, testthat, webmockr, withr
Imports: R6, httr, jsonlite, tibble, htmlwidgets, reactable, dplyr, magrittr, htmltools, glue, rlang, digest, crosstalk, reactR, purrr, bslib, sass
URL: https://rstudio.github.io/connectwidgets/, https://github.com/rstudio/connectwidgets
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-10 23:57:00 UTC; bsmith
Author: Brian Smith [aut, cre], Marcos Navarro [aut], David Aja [ctb], Kelly O'Briant [ctb], Posit [cph]
Maintainer: Brian Smith <brian@rstudio.com>
Repository: CRAN
Date/Publication: 2023-01-11 10:20:15 UTC

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New package BTSR with initial version 0.1.3
Package: BTSR
Date: 2023-01-10
Title: Bounded Time Series Regression
Version: 0.1.3
Copyright: see file COPYRIGHTS
Depends: R (>= 4.0.0)
Description: Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in 'FORTRAN', which translates into very fast algorithms. The main references are Bayer et al. (2017) <doi:10.1016/j.jhydrol.2017.10.006>, Pumi et al. (2019) <doi:10.1016/j.jspi.2018.10.001>, Pumi et al. (2021) <doi:10.1111/sjos.12439> and Pumi et al. (2022) <arXiv:2211.02097>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2023-01-10 18:11:43 UTC; Taiane
Author: Taiane Schaedler Prass [aut, cre, com] , Guilherme Pumi [ctb, aut] , Fabio Mariano Bayer [ctb] , Jack Joseph Dongarra [ctb], Cleve Moler [ctb], Gilbert Wright Stewart [ctb], Ciyou Zhu [ctb], Richard H. Byrd [ctb], Jorge Nocedal [ctb], Jose Luis Moral [...truncated...]
Maintainer: Taiane Schaedler Prass <taianeprass@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-11 10:03:20 UTC

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New package azlogr with initial version 0.0.3
Package: azlogr
Title: Logging in 'R' and Post to 'Azure Log Analytics' Workspace
Version: 0.0.3
Description: It extends the functionality of 'logger' package. Additional logging metadata can be configured to be collected. Logging messages are displayed on console and optionally they are sent to 'Azure Log Analytics' workspace in real-time.
License: MIT + file LICENSE
URL: https://atalv.github.io/azlogr/ https://github.com/atalv/azlogr/
BugReports: https://github.com/atalv/azlogr/issues/
Suggests: covr, knitr, mockery, pkgdown, rmarkdown, testthat (>= 3.1.0)
Encoding: UTF-8
Imports: caTools, digest, httr (>= 1.0.0), jsonlite, logger (>= 0.2.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-11 05:14:33 UTC; atal
Author: Vivek Atal [aut, cre]
Maintainer: Vivek Atal <atalvivek@yahoo.co.in>
Repository: CRAN
Date/Publication: 2023-01-11 10:30:05 UTC

More information about azlogr at CRAN
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Package statpsych updated to version 1.3.0 with previous version 1.2.0 dated 2022-08-19

Title: Statistical Methods for Psychologists
Description: Implements confidence interval and sample size methods that are especially useful in psychological research. The methods can be applied in 1-group, 2-group, paired-samples, and multiple-group designs and to a variety of parameters including means, medians, proportions, slopes, standardized mean differences, standardized linear contrasts of means, plus several measures of correlation and association. The confidence intervals and sample size functions are applicable to single parameters as well as differences, ratios, and linear contrasts of parameters. The sample size functions can be used to approximate the sample size needed to estimate a parameter or function of parameters with desired confidence interval precision or to perform a variety of hypothesis tests (directional two-sided, equivalence, superiority, noninferiority) with desired power. For details see: Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.
Author: Douglas G. Bonett [aut, cre], Robert J. Calin-Jageman [ctb]
Maintainer: Douglas G. Bonett <dgbonett@ucsc.edu>

Diff between statpsych versions 1.2.0 dated 2022-08-19 and 1.3.0 dated 2023-01-11

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Package FAMetA updated to version 0.1.5 with previous version 0.1.4 dated 2022-03-01

Title: Fatty Acid Metabolic Analysis
Description: Fatty acid metabolic analysis aimed to the estimation of FA import (I), de novo synthesis (S), fractional contribution of the 13C-tracers (D0, D1, D2), elongation (E) and desaturation (Des) based on mass isotopologue data.
Author: Maribel Alcoriza-Balaguer [aut, cre], Juan Carlos Garcia-Canaveras [ctb], Agustin Lahoz [ths]
Maintainer: Maribel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

Diff between FAMetA versions 0.1.4 dated 2022-03-01 and 0.1.5 dated 2023-01-11

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Package bartMachine updated to version 1.3.3 with previous version 1.3.2 dated 2022-10-25

Title: Bayesian Additive Regression Trees
Description: An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Author: Adam Kapelner and Justin Bleich
Maintainer: Adam Kapelner <kapelner@qc.cuny.edu>

Diff between bartMachine versions 1.3.2 dated 2022-10-25 and 1.3.3 dated 2023-01-11

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Package EdSurvey updated to version 3.0.2 with previous version 3.0.1 dated 2022-10-06

Title: Analysis of NCES Education Survey and Assessment Data
Description: Read in and analyze functions for education survey and assessment data from the National Center for Education Statistics (NCES) <https://nces.ed.gov/>, including National Assessment of Educational Progress (NAEP) data <https://nces.ed.gov/nationsreportcard/> and data from the International Assessment Database: Organisation for Economic Co-operation and Development (OECD) <https://www.oecd.org/>, including Programme for International Student Assessment (PISA), Teaching and Learning International Survey (TALIS), Programme for the International Assessment of Adult Competencies (PIAAC), and International Association for the Evaluation of Educational Achievement (IEA) <https://www.iea.nl/>, including Trends in International Mathematics and Science Study (TIMSS), TIMSS Advanced, Progress in International Reading Literacy Study (PIRLS), International Civic and Citizenship Study (ICCS), International Computer and Information Literacy Study (ICILS), and Civic Education S [...truncated...]
Author: Paul Bailey [aut, cre], Ahmad Emad [aut], Huade Huo [aut], Michael Lee [aut], Yuqi Liao [aut], Alex Lishinski [aut], Trang Nguyen [aut], Qingshu Xie [aut], Jiao Yu [aut], Ting Zhang [aut], Eric Buehler [aut], person, person), Jeppe Bundsgaard [ctb], [...truncated...]
Maintainer: Paul Bailey <pbailey@air.org>

Diff between EdSurvey versions 3.0.1 dated 2022-10-06 and 3.0.2 dated 2023-01-11

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Package EFA.dimensions updated to version 0.1.7.6 with previous version 0.1.7.4 dated 2022-02-06

Title: Exploratory Factor Analysis Functions for Assessing Dimensionality
Description: Functions for eleven procedures for determining the number of factors, including functions for parallel analysis and the minimum average partial test. There are also functions for conducting principal components analysis, principal axis factor analysis, maximum likelihood factor analysis, image factor analysis, and extension factor analysis, all of which can take raw data or correlation matrices as input and with options for conducting the analyses using Pearson correlations, Kendall correlations, Spearman correlations, gamma correlations, or polychoric correlations. Varimax rotation, promax rotation, and Procrustes rotations can be performed. Additional functions focus on the factorability of a correlation matrix, the congruences between factors from different datasets, the assessment of local independence, the assessment of factor solution complexity, and internal consistency. Auerswald & Moshagen (2019, <doi:10.1037/met0000200>); Fabrigar & Wegener (2012, ISBN:978-0-19 [...truncated...]
Author: Brian P. O'Connor [aut, cre]
Maintainer: Brian P. O'Connor <brian.oconnor@ubc.ca>

Diff between EFA.dimensions versions 0.1.7.4 dated 2022-02-06 and 0.1.7.6 dated 2023-01-11

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Package conjurer updated to version 1.6.0 with previous version 1.5.0 dated 2022-05-01

Title: A Parametric Method for Generating Synthetic Data
Description: Generates synthetic data distributions to enable testing various modelling techniques in ways that real data does not allow. Noise can be added in a controlled manner such that the data seems real. This methodology is generic and therefore benefits both the academic and industrial research.
Author: Sidharth Macherla [aut, cre]
Maintainer: Sidharth Macherla <msidharthrasik@gmail.com>

Diff between conjurer versions 1.5.0 dated 2022-05-01 and 1.6.0 dated 2023-01-11

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Package ToxicR (with last version 22.12.1.0.7) was removed from CRAN

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

2022-12-13 22.12.1.0.7

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New package triact with initial version 0.2.0
Package: triact
Title: Analyzing the Lying Behavior of Cows from Accelerometer Data
Version: 0.2.0
Description: Assists in analyzing the lying behavior of cows from raw data recorded with a triaxial accelerometer attached to the hind leg of a cow. Allows the determination of common measures for lying behavior including total lying duration, the number of lying bouts, and the mean duration of lying bouts. Further capabilities are the description of lying laterality and the calculation of proxies for the level of physical activity of the cow. Reference: Simmler M., Brouwers S. (2023) <https://gitlab.com/AgroSimi/triact_manuscript>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Imports: R6 (>= 2.5.0), data.table (>= 1.14.0), parallel (>= 4.1.2), checkmate (>= 2.0.0), lubridate (>= 1.7.10), methods, stats
Suggests: signal (>= 0.7-7), tibble, rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-10 14:10:35 UTC; f80850181
Author: Michael Simmler [aut, cre] , Stijn Brouwers [ctb]
Maintainer: Michael Simmler <michael.simmler@agroscope.admin.ch>
Repository: CRAN
Date/Publication: 2023-01-11 06:40:02 UTC

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New package sfdep with initial version 0.2.3
Package: sfdep
Title: Spatial Dependence for Simple Features
Version: 0.2.3
Description: An interface to 'spdep' to integrate with 'sf' objects and the 'tidyverse'.
License: GPL-3
URL: https://sfdep.josiahparry.com, https://github.com/josiahparry/sfdep
Suggests: broom, dbscan, dplyr, ggplot2, knitr, magrittr, patchwork, purrr, pracma, rmarkdown, sfnetworks, stringr, testthat (>= 3.0.0), tibble, tidyr, vctrs, yaml, zoo, Kendall, igraph, tidygraph
Encoding: UTF-8
Imports: sf, cli, spdep, stats, rlang
Depends: R (>= 3.5.0)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-01-10 13:37:32 UTC; josiahparry
Author: Josiah Parry [aut, cre]
Maintainer: Josiah Parry <josiah.parry@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-11 06:30:02 UTC

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New package em with initial version 1.0.0
Package: em
Title: Generic EM Algorithm
Version: 1.0.0
Description: A generic function for running the Expectation-Maximization (EM) algorithm within a maximum likelihood framework, based on Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> is implemented. It can be applied after a model fitting using R's existing functions and packages.
URL: https://github.com/wudongjie/em
License: GPL (>= 3)
Encoding: UTF-8
SystemRequirements: C++11
BugReports: https://github.com/wudongjie/em/issues
NeedsCompilation: yes
Depends: R (>= 3.0.0)
Imports: stats, utils, survival, plm, methods, mclust, dplyr, numDeriv, nnet, magrittr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (>= 3.0.0), parallel, fitdistrplus, gnm
LazyData: true
Packaged: 2023-01-09 23:27:09 UTC; eastm
Author: Dongjie Wu [aut, cre, cph]
Maintainer: Dongjie Wu <dwu.jacob@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-11 06:20:02 UTC

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New package datetimeoffset with initial version 0.1.2
Package: datetimeoffset
Title: Datetimes with Optional UTC Offsets and/or Heterogeneous Time Zones
Version: 0.1.2
Description: Supports import/export for a number of datetime string standards and R datetime classes often including lossless re-export of any original reduced precision including 'ISO 8601' <https://en.wikipedia.org/wiki/ISO_8601> and 'pdfmark' <https://opensource.adobe.com/dc-acrobat-sdk-docs/library/pdfmark/> datetime strings. Supports local/global datetimes with optional UTC offsets and/or (possibly heterogeneous) time zones with up to nanosecond precision.
URL: https://trevorldavis.com/R/datetimeoffset/dev/, https://github.com/trevorld/r-datetimeoffset
BugReports: https://github.com/trevorld/r-datetimeoffset
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: clock, methods, purrr (>= 1.0.0), vctrs (>= 0.5.0)
Suggests: lubridate (>= 1.9.0), nanotime (>= 0.3.7), knitr, parttime, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr, rmarkdown
NeedsCompilation: no
Packaged: 2023-01-09 23:39:35 UTC; trevor
Author: Trevor L Davis [aut, cre]
Maintainer: Trevor L Davis <trevor.l.davis@gmail.com>
Repository: CRAN
Date/Publication: 2023-01-11 06:30:08 UTC

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