Sat, 13 May 2023

New package bigstep with initial version 1.1.1
Package: bigstep
Title: Stepwise Selection for Large Data Sets
Version: 1.1.1
Date: 2023-5-11
Description: Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) <doi:10.1534/genetics.103.021683>.
License: GPL-3
URL: https://github.com/pmszulc/bigstep
BugReports: https://github.com/pmszulc/bigstep/issues
Depends: R (>= 3.5.0)
Imports: bigmemory, magrittr, matrixStats, R.utils, RcppEigen, speedglm, stats, utils
Suggests: devtools, knitr, rmarkdown, testthat
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-05-11 14:03:12 UTC; Piotr
Author: Piotr Szulc [aut, cre]
Maintainer: Piotr Szulc <piotr.michal.szulc@gmail.com>
Repository: CRAN
Date/Publication: 2023-05-13 23:12:03 UTC

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Package fairml updated to version 0.8 with previous version 0.7 dated 2022-09-10

Title: Fair Models in Machine Learning
Description: Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al. (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own approach from Scutari, Panero and Proissl (2022) <https://link.springer.com/content/pdf/10.1007/s11222-022-10143-w.pdf> that uses ridge regression to enforce fairness.
Author: Marco Scutari [aut, cre]
Maintainer: Marco Scutari <scutari@bnlearn.com>

Diff between fairml versions 0.7 dated 2022-09-10 and 0.8 dated 2023-05-13

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Package apollo updated to version 0.2.9 with previous version 0.2.8 dated 2022-08-09

Title: Tools for Choice Model Estimation and Application
Description: Choice models are a widely used technique across numerous scientific disciplines. The Apollo package is a very flexible tool for the estimation and application of choice models in R. Users are able to write their own model functions or use a mix of already available ones. Random heterogeneity, both continuous and discrete and at the level of individuals and choices, can be incorporated for all models. There is support for both standalone models and hybrid model structures. Both classical and Bayesian estimation is available, and multiple discrete continuous models are covered in addition to discrete choice. Multi-threading processing is supported for estimation and a large number of pre and post-estimation routines, including for computing posterior (individual-level) distributions are available. For examples, a manual, and a support forum, visit <http://www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) <isbn:978-0-521-74738-7> and [...truncated...]
Author: Stephane Hess [aut, cre], David Palma [aut], Thomas Hancock [ctb]
Maintainer: Stephane Hess <S.Hess@leeds.ac.uk>

Diff between apollo versions 0.2.8 dated 2022-08-09 and 0.2.9 dated 2023-05-13

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More information about apollo at CRAN
Permanent link

Package ggdist updated to version 3.3.0 with previous version 3.2.1 dated 2023-01-18

Title: Visualizations of Distributions and Uncertainty
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include but are not limited to: points with multiple uncertainty intervals, eye plots (Spiegelhalter D., 1999) <https://ideas.repec.org/a/bla/jorssa/v162y1999i1p45-58.html>, density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>, quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>, complementary cumulative distribution function barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>, and fit curves with multiple uncertainty ri [...truncated...]
Author: Matthew Kay [aut, cre], Brenton M. Wiernik [ctb]
Maintainer: Matthew Kay <mjskay@northwestern.edu>

Diff between ggdist versions 3.2.1 dated 2023-01-18 and 3.3.0 dated 2023-05-13

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 ggdist-3.2.1/ggdist/man/figures                                                                                   |only
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 ggdist-3.3.0/ggdist/DESCRIPTION                                                                                   |   39 
 ggdist-3.3.0/ggdist/MD5                                                                                           |  417 +--
 ggdist-3.3.0/ggdist/NAMESPACE                                                                                     |   38 
 ggdist-3.3.0/ggdist/NEWS.md                                                                                       |   65 
 ggdist-3.3.0/ggdist/R/abstract_stat_slabinterval.R                                                                |   43 
 ggdist-3.3.0/ggdist/R/auto_partial.R                                                                              |   14 
 ggdist-3.3.0/ggdist/R/bounder.R                                                                                   |only
 ggdist-3.3.0/ggdist/R/curve_interval.R                                                                            |  110 
 ggdist-3.3.0/ggdist/R/density.R                                                                                   |  491 +++-
 ggdist-3.3.0/ggdist/R/distributions.R                                                                             |   59 
 ggdist-3.3.0/ggdist/R/geom_dotsinterval.R                                                                         |    9 
 ggdist-3.3.0/ggdist/R/geom_lineribbon.R                                                                           |   31 
 ggdist-3.3.0/ggdist/R/geom_slabinterval.R                                                                         |   82 
 ggdist-3.3.0/ggdist/R/geom_spike.R                                                                                |only
 ggdist-3.3.0/ggdist/R/lkjcorr_marginal.R                                                                          |   31 
 ggdist-3.3.0/ggdist/R/parse_dist.R                                                                                |   61 
 ggdist-3.3.0/ggdist/R/point_interval.R                                                                            |  119 -
 ggdist-3.3.0/ggdist/R/rd_slabinterval.R                                                                           |    6 
 ggdist-3.3.0/ggdist/R/rd_spike.R                                                                                  |only
 ggdist-3.3.0/ggdist/R/scale_thickness.R                                                                           |    9 
 ggdist-3.3.0/ggdist/R/smooth.R                                                                                    |   21 
 ggdist-3.3.0/ggdist/R/stat_dotsinterval.R                                                                         |    2 
 ggdist-3.3.0/ggdist/R/stat_lineribbon.R                                                                           |    3 
 ggdist-3.3.0/ggdist/R/stat_pointinterval.R                                                                        |    2 
 ggdist-3.3.0/ggdist/R/stat_slabinterval.R                                                                         |  233 +-
 ggdist-3.3.0/ggdist/R/stat_spike.R                                                                                |only
 ggdist-3.3.0/ggdist/R/testthat.R                                                                                  |   39 
 ggdist-3.3.0/ggdist/R/util.R                                                                                      |   20 
 ggdist-3.3.0/ggdist/R/weighted_ecdf.R                                                                             |   45 
 ggdist-3.3.0/ggdist/R/weighted_hist.R                                                                             |  244 ++
 ggdist-3.3.0/ggdist/R/weighted_quantile.R                                                                         |    1 
 ggdist-3.3.0/ggdist/inst/doc/dotsinterval.R                                                                       |    8 
 ggdist-3.3.0/ggdist/inst/doc/dotsinterval.Rmd                                                                     |   10 
 ggdist-3.3.0/ggdist/inst/doc/dotsinterval.html                                                                    |   24 
 ggdist-3.3.0/ggdist/inst/doc/freq-uncertainty-vis.R                                                               |    2 
 ggdist-3.3.0/ggdist/inst/doc/freq-uncertainty-vis.Rmd                                                             |    2 
 ggdist-3.3.0/ggdist/inst/doc/freq-uncertainty-vis.html                                                            |   10 
 ggdist-3.3.0/ggdist/inst/doc/lineribbon.R                                                                         |    9 
 ggdist-3.3.0/ggdist/inst/doc/lineribbon.Rmd                                                                       |   18 
 ggdist-3.3.0/ggdist/inst/doc/lineribbon.html                                                                      |  262 +-
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 ggdist-3.3.0/ggdist/inst/doc/slabinterval.html                                                                    | 1146 +++++-----
 ggdist-3.3.0/ggdist/man/align.Rd                                                                                  |only
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 ggdist-3.3.0/ggdist/man/bandwidth.Rd                                                                              |only
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 ggdist-3.3.0/ggdist/man/bounder_cooke.Rd                                                                          |only
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 ggdist-3.3.0/ggdist/man/breaks.Rd                                                                                 |only
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 ggdist-3.3.0/ggdist/man/geom_pointinterval.Rd                                                                     |    3 
 ggdist-3.3.0/ggdist/man/geom_slab.Rd                                                                              |    5 
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 ggdist-3.3.0/ggdist/man/ggdist-ggproto.Rd                                                                         |    8 
 ggdist-3.3.0/ggdist/man/marginalize_lkjcorr.Rd                                                                    |   27 
 ggdist-3.3.0/ggdist/man/parse_dist.Rd                                                                             |   58 
 ggdist-3.3.0/ggdist/man/point_interval.Rd                                                                         |   43 
 ggdist-3.3.0/ggdist/man/scale_thickness.Rd                                                                        |   67 
 ggdist-3.3.0/ggdist/man/smooth_density.Rd                                                                         |   29 
 ggdist-3.3.0/ggdist/man/smooth_discrete.Rd                                                                        |    2 
 ggdist-3.3.0/ggdist/man/smooth_none.Rd                                                                            |    2 
 ggdist-3.3.0/ggdist/man/stat_ccdfinterval.Rd                                                                      |   75 
 ggdist-3.3.0/ggdist/man/stat_cdfinterval.Rd                                                                       |   75 
 ggdist-3.3.0/ggdist/man/stat_dots.Rd                                                                              |    6 
 ggdist-3.3.0/ggdist/man/stat_dotsinterval.Rd                                                                      |    6 
 ggdist-3.3.0/ggdist/man/stat_eye.Rd                                                                               |   73 
 ggdist-3.3.0/ggdist/man/stat_gradientinterval.Rd                                                                  |   73 
 ggdist-3.3.0/ggdist/man/stat_halfeye.Rd                                                                           |   73 
 ggdist-3.3.0/ggdist/man/stat_histinterval.Rd                                                                      |   93 
 ggdist-3.3.0/ggdist/man/stat_interval.Rd                                                                          |    3 
 ggdist-3.3.0/ggdist/man/stat_lineribbon.Rd                                                                        |    8 
 ggdist-3.3.0/ggdist/man/stat_pointinterval.Rd                                                                     |    3 
 ggdist-3.3.0/ggdist/man/stat_ribbon.Rd                                                                            |    6 
 ggdist-3.3.0/ggdist/man/stat_slab.Rd                                                                              |   73 
 ggdist-3.3.0/ggdist/man/stat_slabinterval.Rd                                                                      |   70 
 ggdist-3.3.0/ggdist/man/stat_spike.Rd                                                                             |only
 ggdist-3.3.0/ggdist/man/weighted_ecdf.Rd                                                                          |only
 ggdist-3.3.0/ggdist/man/weighted_quantile.Rd                                                                      |    3 
 ggdist-3.3.0/ggdist/tests/testthat.R                                                                              |   19 
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Package RVCompare updated to version 0.1.7 with previous version 0.1.6 dated 2022-05-27

Title: Compare Real Valued Random Variables
Description: A framework with tools to compare two random variables via stochastic dominance. See the README.md at <https://github.com/EtorArza/RVCompare> for a quick start guide. It can compute the Cp and Cd of two probability distributions and the Cumulative Difference Plot as explained in E. Arza (2022) <doi:10.1080/10618600.2022.2084405>. Uses bootstrap or DKW-bounds to compute the confidence bands of the cumulative distributions. These two methods are described in B. Efron. (1979) <doi:10.1214/aos/1176344552> and P. Massart (1990) <doi:10.1214/aop/1176990746>.
Author: Etor Arza
Maintainer: Etor Arza <etorarza@gmail.com>

Diff between RVCompare versions 0.1.6 dated 2022-05-27 and 0.1.7 dated 2023-05-13

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Package canvasXpress updated to version 1.43.7 with previous version 1.42.9 dated 2023-03-10

Title: Visualization Package for CanvasXpress in R
Description: Enables creation of visualizations using the CanvasXpress framework in R. CanvasXpress is a standalone JavaScript library for reproducible research with complete tracking of data and end-user modifications stored in a single PNG image that can be played back. See <https://www.canvasxpress.org> for more information.
Author: Isaac Neuhaus [aut], Connie Brett [aut, cre]
Maintainer: Connie Brett <connie@aggregate-genius.com>

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Package ReadDIM updated to version 0.2.11 with previous version 0.2.10 dated 2020-06-23

Title: Read ESA SNAP Processed Raster Format in R
Description: It helps you to read (.dim) images with CRS directly into R programming. One can import both Sentinel 1 and 2 images or any processed data with this software.
Author: Subhadip Datta
Maintainer: Subhadip Datta <subhadipdatta007@gmail.com>

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Package ExtractTrainData updated to version 9.1.6 with previous version 9.1.5 dated 2020-06-23

Title: Extract Values from Raster
Description: By using a multispectral image and ESRI shapefile (Point/ Line/ Polygon), a data table will be generated for classification, regression or other processing. The data table will be contained by band wise raster values and shapefile ids (User Defined).
Author: Suhadip Datta
Maintainer: Subhadip Datta <subhadipdatta007@gmail.com>

Diff between ExtractTrainData versions 9.1.5 dated 2020-06-23 and 9.1.6 dated 2023-05-13

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Package pROC updated to version 1.18.2 with previous version 1.18.0 dated 2021-09-03

Title: Display and Analyze ROC Curves
Description: Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Author: Xavier Robin [cre, aut] , Natacha Turck [aut], Alexandre Hainard [aut], Natalia Tiberti [aut], Frederique Lisacek [aut], Jean-Charles Sanchez [aut], Markus Mueller [aut], Stefan Siegert [ctb] , Matthias Doering [ctb] , Zane Billings [ctb]
Maintainer: Xavier Robin <pROC-cran@xavier.robin.name>

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Package marginaleffects updated to version 0.11.2 with previous version 0.11.1 dated 2023-03-31

Title: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests
Description: Compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 80 classes of statistical models in R. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference.
Author: Vincent Arel-Bundock [aut, cre, cph] , Marcio Augusto Diniz [ctb] , Noah Greifer [ctb] , Etienne Bacher [ctb]
Maintainer: Vincent Arel-Bundock <vincent.arel-bundock@umontreal.ca>

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Package rcartocolor updated to version 2.1.1 with previous version 2.0.0 dated 2019-05-03

Title: 'CARTOColors' Palettes
Description: Provides color schemes for maps and other graphics designed by 'CARTO' as described at <https://carto.com/carto-colors/>. It includes four types of palettes: aggregation, diverging, qualitative, and quantitative.
Author: Jakub Nowosad [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package colorblindcheck updated to version 1.0.2 with previous version 1.0.0 dated 2021-09-09

Title: Check Color Palettes for Problems with Color Vision Deficiency
Description: Compare color palettes with simulations of color vision deficiencies - deuteranopia, protanopia, and tritanopia. It includes calculation of distances between colors, and creating summaries of differences between a color palette and simulations of color vision deficiencies. This work was inspired by the blog post at <http://www.vis4.net/blog/2018/02/automate-colorblind-checking/>.
Author: Jakub Nowosad [aut, cre]
Maintainer: Jakub Nowosad <nowosad.jakub@gmail.com>

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Package esreg updated to version 0.6.2 with previous version 0.6.1 dated 2023-03-22

Title: Joint Quantile and Expected Shortfall Regression
Description: Simultaneous modeling of the quantile and the expected shortfall of a response variable given a set of covariates, see Dimitriadis and Bayer (2019) <doi:10.1214/19-EJS1560>.
Author: Sebastian Bayer [aut, cre], Timo Dimitriadis [aut]
Maintainer: Sebastian Bayer <sebastian.bayer@uni-konstanz.de>

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Package spatstat.explore updated to version 3.2-1 with previous version 3.1-0 dated 2023-03-13

Title: Exploratory Data Analysis for the 'spatstat' Family
Description: Functionality for exploratory data analysis and nonparametric analysis of spatial data, mainly spatial point patterns, in the 'spatstat' family of packages. (Excludes analysis of spatial data on a linear network, which is covered by the separate package 'spatstat.linnet'.) Methods include quadrat counts, K-functions and their simulation envelopes, nearest neighbour distance and empty space statistics, Fry plots, pair correlation function, kernel smoothed intensity, relative risk estimation with cross-validated bandwidth selection, mark correlation functions, segregation indices, mark dependence diagnostics, and kernel estimates of covariate effects. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two-stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
Author: Adrian Baddeley [aut, cre, cph] , Rolf Turner [aut, cph] , Ege Rubak [aut, cph] , Kasper Klitgaard Berthelsen [ctb], Warick Brown [cph], Achmad Choiruddin [ctb], Jean-Francois Coeurjolly [ctb], Ottmar Cronie [ctb], Tilman Davies [ctb, cph], Julian Gi [...truncated...]
Maintainer: Adrian Baddeley <Adrian.Baddeley@curtin.edu.au>

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Package ggpicrust2 updated to version 1.6.5 with previous version 1.6.3 dated 2023-05-07

Title: Make 'PICRUSt2' Output Analysis and Visualization Easier
Description: Provides a convenient way to analyze and visualize 'PICRUSt2' output with pre-defined plots and functions. Allows for generating statistical plots about microbiome functional predictions and offers customization options. Features a one-click option for creating publication-level plots, saving time and effort in producing professional-grade figures. Streamlines the 'PICRUSt2' analysis and visualization process. For more details, see Yang et al. (2023) <arXiv:2303.10388>.
Author: Chen Yang [aut, cre], Liangliang Zhang [aut]
Maintainer: Chen Yang <cafferychen7850@gmail.com>

Diff between ggpicrust2 versions 1.6.3 dated 2023-05-07 and 1.6.5 dated 2023-05-13

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Package stringstatic updated to version 0.1.1 with previous version 0.1.0 dated 2023-03-09

Title: Dependency-Free String Operations
Description: Provides drop-in replacements for functions from the 'stringr' package, with the same user interface. These functions have no external dependencies and can be copied directly into your package code using the 'staticimports' package.
Author: Alexander Rossell Hayes [aut, cre, cph] , Eli Pousson [ctb] and str_split functions), Hadley Wickham [ctb, cph] , RStudio [cph]
Maintainer: Alexander Rossell Hayes <alexander@rossellhayes.com>

Diff between stringstatic versions 0.1.0 dated 2023-03-09 and 0.1.1 dated 2023-05-13

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Package fdasrvf updated to version 2.0.2 with previous version 2.0.1 dated 2023-03-03

Title: Elastic Functional Data Analysis
Description: Performs alignment, PCA, and modeling of multidimensional and unidimensional functions using the square-root velocity framework (Srivastava et al., 2011 <arXiv:1103.3817> and Tucker et al., 2014 <DOI:10.1016/j.csda.2012.12.001>). This framework allows for elastic analysis of functional data through phase and amplitude separation.
Author: J. Derek Tucker [aut, cre] , Aymeric Stamm [ctb]
Maintainer: J. Derek Tucker <jdtuck@sandia.gov>

Diff between fdasrvf versions 2.0.1 dated 2023-03-03 and 2.0.2 dated 2023-05-13

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Package EBglmnet updated to version 5.3 with previous version 5.2 dated 2022-12-22

Title: Empirical Bayesian Lasso and Elastic Net Methods for Generalized Linear Models
Description: Provides empirical Bayesian lasso and elastic net algorithms for variable selection and effect estimation. Key features include sparse variable selection and effect estimation via generalized linear regression models, high dimensionality with p>>n, and significance test for nonzero effects. This package outperforms other popular methods such as lasso and elastic net methods in terms of power of detection, false discovery rate, and power of detecting grouping effects. Please reference its use as A Huang and D Liu (2016) <doi: 10.1093/bioinformatics/btw143>.
Author: Anhui Huang, Dianting Liu
Maintainer: Anhui Huang <anhuihuang@gmail.com>

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Package VeryLargeIntegers updated to version 0.2.1 with previous version 0.1.9 dated 2022-12-01

Title: Store and Operate with Arbitrarily Large Integers
Description: Multi-precision library that allows to store and operate with arbitrarily big integers without loss of precision. It includes a large list of tools to work with them, like: - Arithmetic and logic operators - Modular-arithmetic operators - Computer Number Theory utilities - Probabilistic primality tests - Factorization algorithms - Random generators of diferent types of integers.
Author: Javier Leiva Cuadrado
Maintainer: Javier Leiva Cuadrado <jleivacuadrado@gmail.com>

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 VeryLargeIntegers-0.2.1/VeryLargeIntegers/R/primes.R          |    2 
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/R/primescount.R     |    2 
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/R/random.R          |   16 +-
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/R/roots.R           |   18 +--
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/R/vli.R             |    8 +
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/man/Pi.Rd           |   24 ++--
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/man/roots.Rd        |    4 
 VeryLargeIntegers-0.2.1/VeryLargeIntegers/man/vli.Rd          |    3 
 32 files changed, 177 insertions(+), 166 deletions(-)

More information about VeryLargeIntegers at CRAN
Permanent link

Package animl updated to version 1.1.0 with previous version 1.0.0 dated 2022-03-23

Title: A Collection of ML Tools for Conservation Research
Description: Functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's 'MegaDector' model and then a second model trained on the classes of interest.
Author: Kyra Swanson [aut, cre] , Mathias Tobler [aut]
Maintainer: Kyra Swanson <tswanson@sdzwa.org>

Diff between animl versions 1.0.0 dated 2022-03-23 and 1.1.0 dated 2023-05-13

 animl-1.0.0/animl/R/checkMD.R                      |only
 animl-1.0.0/animl/R/classifyMD.R                   |only
 animl-1.0.0/animl/R/classifySequence.R             |only
 animl-1.0.0/animl/R/classifySpecies.R              |only
 animl-1.0.0/animl/R/convertMDresults.R             |only
 animl-1.0.0/animl/R/decodeImage.R                  |only
 animl-1.0.0/animl/R/extractFiles.R                 |only
 animl-1.0.0/animl/R/generateCrops.R                |only
 animl-1.0.0/animl/R/loadMDmodel.R                  |only
 animl-1.0.0/animl/R/multispecies.R                 |only
 animl-1.0.0/animl/R/resize_pad.R                   |only
 animl-1.0.0/animl/build                            |only
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 animl-1.0.0/animl/man/classifyImageMD.Rd           |only
 animl-1.0.0/animl/man/classifyImagesBatchMD.Rd     |only
 animl-1.0.0/animl/man/classifySequence.Rd          |only
 animl-1.0.0/animl/man/classifyVideo.Rd             |only
 animl-1.0.0/animl/man/convertMDResultsSimple.Rd    |only
 animl-1.0.0/animl/man/convertMDresults.Rd          |only
 animl-1.0.0/animl/man/decode_img_full.Rd           |only
 animl-1.0.0/animl/man/decode_img_resize.Rd         |only
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 animl-1.0.0/animl/man/extractFiles.Rd              |only
 animl-1.0.0/animl/man/multispecies.Rd              |only
 animl-1.0.0/animl/man/parseMDsimple.Rd             |only
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 animl-1.0.0/animl/man/resize_pad.Rd                |only
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 animl-1.1.0/animl/DESCRIPTION                      |   15 
 animl-1.1.0/animl/LICENSE                          |    4 
 animl-1.1.0/animl/MD5                              |  114 ++--
 animl-1.1.0/animl/NAMESPACE                        |   65 +-
 animl-1.1.0/animl/R/applyPredictions.R             |only
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 animl-1.1.0/animl/R/detectMD.R                     |only
 animl-1.1.0/animl/R/extractBoxes.R                 |  565 +++++++++++----------
 animl-1.1.0/animl/R/fileManagement.R               |only
 animl-1.1.0/animl/R/generators.R                   |only
 animl-1.1.0/animl/R/imagesFromVideos.R             |  200 ++++---
 animl-1.1.0/animl/R/loadMDModel.R                  |only
 animl-1.1.0/animl/R/parseMD.R                      |only
 animl-1.1.0/animl/R/parseMDjson.R                  |  118 +---
 animl-1.1.0/animl/R/pipeline.R                     |only
 animl-1.1.0/animl/R/plotBoxes.R                    |  138 ++---
 animl-1.1.0/animl/R/predictSpecies.R               |only
 animl-1.1.0/animl/R/sequenceClassification.R       |only
 animl-1.1.0/animl/R/setupDirectory.R               |only
 animl-1.1.0/animl/R/splitData.R                    |only
 animl-1.1.0/animl/R/symlink.R                      |only
 animl-1.1.0/animl/R/testMD.R                       |only
 animl-1.1.0/animl/R/updateResults.R                |only
 animl-1.1.0/animl/R/utils-pipe.R                   |only
 animl-1.1.0/animl/README.md                        |  116 ++++
 animl-1.1.0/animl/man/ImageGenerator.Rd            |only
 animl-1.1.0/animl/man/ImageGeneratorSize.Rd        |only
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 animl-1.1.0/animl/man/convertCoordinates.Rd        |only
 animl-1.1.0/animl/man/cropImageGenerator.Rd        |only
 animl-1.1.0/animl/man/cropImageTrainGenerator.Rd   |only
 animl-1.1.0/animl/man/detectObject.Rd              |only
 animl-1.1.0/animl/man/detectObjectBatch.Rd         |only
 animl-1.1.0/animl/man/extractBoxes.Rd              |  103 ++-
 animl-1.1.0/animl/man/extractBoxesFromFlat.Rd      |   92 +--
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 animl-1.1.0/animl/man/imagesFromVideos.Rd          |   90 +--
 animl-1.1.0/animl/man/loadData.Rd                  |only
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 animl-1.1.0/animl/man/loadMDModel.Rd               |   46 -
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 animl-1.1.0/animl/man/parseMDjson.Rd               |   48 -
 animl-1.1.0/animl/man/pipe.Rd                      |only
 animl-1.1.0/animl/man/plotBoxes.Rd                 |   54 +-
 animl-1.1.0/animl/man/predictSpecies.Rd            |only
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 animl-1.1.0/animl/man/sequenceClassification.Rd    |only
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 animl-1.1.0/animl/man/testMD.Rd                    |only
 animl-1.1.0/animl/man/updateResults.Rd             |only
 99 files changed, 1009 insertions(+), 759 deletions(-)

More information about animl at CRAN
Permanent link


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