Title: Genomic Prediction of Hybrid Performance
Description: Performs genomic prediction of hybrid performance using eight statistical methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost along with additive and additive-dominance models. Users are able to incorporate parental phenotypic information in all methods based on their specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al (2021) <doi: 10.1111/pbi.13458>).
Author: Yang Xu [aut, cre],
Guangning Yu [aut],
Yanru Cui [aut],
Shizhong Xu [aut],
Chenwu Xu [aut]
Maintainer: Yang Xu <xuyang_89@126.com>
Diff between predhy versions 2.1.1 dated 2024-05-23 and 2.1.2 dated 2025-04-05
DESCRIPTION | 32 ++++++++++++++++++++++++++------ MD5 | 12 ++++++------ R/convertgen.R | 2 +- R/cv.R | 6 +++--- R/predhy.predict_NCII.R | 14 +++++++------- man/convertgen.Rd | 2 +- man/cv.Rd | 6 +++--- 7 files changed, 47 insertions(+), 27 deletions(-)
Title: Phasing, Pedigree Reconstruction, Sire Imputation and
Recombination Events Identification of Half-sib Families Using
SNP Data
Description: Identification of recombination events, haplotype reconstruction, sire imputation and pedigree reconstruction using half-sib family SNP data.
Author: Mohammad Ferdosi [aut, cre],
Cedric Gondro [aut]
Maintainer: Mohammad Ferdosi <mhferdosi@yahoo.com>
Diff between hsphase versions 2.0.3 dated 2024-02-16 and 2.0.4 dated 2025-04-05
DESCRIPTION | 15 +++++++++------ MD5 | 10 +++++----- build/vignette.rds |binary inst/CITATION | 2 +- inst/doc/hsphase.pdf |binary src/swDetect.cpp | 2 +- 6 files changed, 16 insertions(+), 13 deletions(-)
Title: Augmented Bayesian Model Selection for Regression Models
Description: Tools to perform model selection alongside estimation under Linear, Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the spike-and-slab method, a probability for each possible model is estimated with the posterior mean, credibility interval, and standard deviation of coefficients and parameters under the most probable model.
Author: Francisco Segovia [aut, cre],
Luis Gutierres [aut],
Ramses Mena [aut]
Maintainer: Francisco Segovia <fasegovia@uc.cl>
Diff between abms versions 0.1 dated 2025-03-13 and 0.2 dated 2025-04-05
DESCRIPTION | 6 +- MD5 | 6 +- R/abms.R | 117 +++++++++++++++++++++++++++++++++++------------------- man/gibbs_abms.Rd | 12 +++++ 4 files changed, 95 insertions(+), 46 deletions(-)
Title: High-Level Functions for Tabulating, Charting and Reporting
Survey Data
Description: Craft polished tables and plots in Markdown reports.
Simply choose whether to treat your data as counts or metrics,
and the package will automatically generate well-designed default tables and plots for you.
Boiled down to the basics, with labeling features and simple interactive reports.
All functions are 'tidyverse' compatible.
Author: Jakob Juenger [aut, cre, cph] ,
Henrieke Kotthoff [aut, ctb],
Chantal Gaertner [ctb]
Maintainer: Jakob Juenger <jakob.juenger@uni-muenster.de>
Diff between volker versions 3.0.0 dated 2024-12-11 and 3.1.0 dated 2025-04-05
volker-3.0.0/volker/man/data_clean_sosci.Rd |only volker-3.1.0/volker/DESCRIPTION | 10 volker-3.1.0/volker/LICENSE | 4 volker-3.1.0/volker/MD5 | 469 - volker-3.1.0/volker/NAMESPACE | 196 volker-3.1.0/volker/NEWS.md | 81 volker-3.1.0/volker/R/checks.R | 116 volker-3.1.0/volker/R/clean.R | 134 volker-3.1.0/volker/R/cluster.R | 569 - volker-3.1.0/volker/R/config.R | 21 volker-3.1.0/volker/R/data.R | 2 volker-3.1.0/volker/R/effects.R | 473 - volker-3.1.0/volker/R/factor.R | 751 - volker-3.1.0/volker/R/idx.R | 14 volker-3.1.0/volker/R/import-standalone-purrr.R | 488 - volker-3.1.0/volker/R/imports.R | 204 volker-3.1.0/volker/R/labels.R | 156 volker-3.1.0/volker/R/model.R |only volker-3.1.0/volker/R/plots.R | 252 volker-3.1.0/volker/R/report.R | 10 volker-3.1.0/volker/R/skim.R | 78 volker-3.1.0/volker/R/tables.R | 169 volker-3.1.0/volker/R/utils.R | 31 volker-3.1.0/volker/R/volker-package.R | 16 volker-3.1.0/volker/README.md | 15 volker-3.1.0/volker/inst/doc/introduction.R | 221 volker-3.1.0/volker/inst/doc/introduction.Rmd | 174 volker-3.1.0/volker/inst/doc/introduction.html | 4101 ---------- volker-3.1.0/volker/inst/extdata/header.tex | 14 volker-3.1.0/volker/inst/extdata/styles.css | 96 volker-3.1.0/volker/inst/rmarkdown/templates/volker-report/skeleton/skeleton.Rmd | 100 volker-3.1.0/volker/inst/rmarkdown/templates/volker-report/template.yaml | 8 volker-3.1.0/volker/man/VLKR_FIG_SETTINGS.Rd | 36 volker-3.1.0/volker/man/VLKR_FILLDISCRETE.Rd | 32 volker-3.1.0/volker/man/VLKR_FILLGRADIENT.Rd | 32 volker-3.1.0/volker/man/VLKR_FILLPOLARIZED.Rd | 32 volker-3.1.0/volker/man/VLKR_MAX_CATEGORIES.Rd |only volker-3.1.0/volker/man/VLKR_NA_LEVELS.Rd | 32 volker-3.1.0/volker/man/VLKR_NA_NUMBERS.Rd | 32 volker-3.1.0/volker/man/VLKR_NORMAL_DIGITS.Rd | 32 volker-3.1.0/volker/man/VLKR_PLOT_LABELWRAP.Rd | 38 volker-3.1.0/volker/man/VLKR_POINT_ALPHA.Rd | 32 volker-3.1.0/volker/man/VLKR_POINT_MEAN_SHAPE.Rd | 32 volker-3.1.0/volker/man/VLKR_POINT_SIZE.Rd | 32 volker-3.1.0/volker/man/VLKR_WRAP_SEPARATOR.Rd | 32 volker-3.1.0/volker/man/add_clusters.Rd | 96 volker-3.1.0/volker/man/add_factors.Rd | 94 volker-3.1.0/volker/man/add_index.Rd | 62 volker-3.1.0/volker/man/cfg_get_na_numbers.Rd | 39 volker-3.1.0/volker/man/chatgpt.Rd | 72 volker-3.1.0/volker/man/check_has_column.Rd | 44 volker-3.1.0/volker/man/check_is_categorical.Rd |only volker-3.1.0/volker/man/check_is_dataframe.Rd | 44 volker-3.1.0/volker/man/check_is_numeric.Rd |only volker-3.1.0/volker/man/check_is_param.Rd | 59 volker-3.1.0/volker/man/cluster_plot.Rd | 120 volker-3.1.0/volker/man/cluster_tab.Rd | 120 volker-3.1.0/volker/man/codebook.Rd | 69 volker-3.1.0/volker/man/data_cat.Rd |only volker-3.1.0/volker/man/data_clean.Rd | 62 volker-3.1.0/volker/man/data_clean_default.Rd |only volker-3.1.0/volker/man/data_num.Rd |only volker-3.1.0/volker/man/data_prepare.Rd | 74 volker-3.1.0/volker/man/data_rev.Rd | 49 volker-3.1.0/volker/man/data_rm_missings.Rd | 40 volker-3.1.0/volker/man/data_rm_na_levels.Rd | 48 volker-3.1.0/volker/man/data_rm_na_numbers.Rd | 55 volker-3.1.0/volker/man/data_rm_negatives.Rd | 40 volker-3.1.0/volker/man/data_rm_zeros.Rd | 40 volker-3.1.0/volker/man/dot-add_to_vlkr_rprt.Rd | 44 volker-3.1.0/volker/man/dot-attr_insert.Rd | 48 volker-3.1.0/volker/man/dot-attr_transfer.Rd | 44 volker-3.1.0/volker/man/dot-density_mode.Rd | 40 volker-3.1.0/volker/man/dot-effect_correlations.Rd | 54 volker-3.1.0/volker/man/dot-effect_npmi.Rd | 62 volker-3.1.0/volker/man/dot-factor_with_attr.Rd | 40 volker-3.1.0/volker/man/dot-get_fig_settings.Rd | 30 volker-3.1.0/volker/man/dot-iqr.Rd | 36 volker-3.1.0/volker/man/dot-knit_plot.Rd | 64 volker-3.1.0/volker/man/dot-knit_prepare.Rd | 40 volker-3.1.0/volker/man/dot-knit_table.Rd | 36 volker-3.1.0/volker/man/dot-outliers.Rd | 36 volker-3.1.0/volker/man/dot-plot_bars.Rd | 84 volker-3.1.0/volker/man/dot-plot_cor.Rd | 72 volker-3.1.0/volker/man/dot-plot_lines.Rd | 52 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volker-3.1.0/volker/tests/testthat/test-plots.R | 5 volker-3.1.0/volker/tests/testthat/test-tables.R | 22 volker-3.1.0/volker/tests/testthat/test-theme.R | 106 volker-3.1.0/volker/tests/testthat/test-utils.R | 62 volker-3.1.0/volker/tests/testthat/test_skim.R | 50 volker-3.1.0/volker/vignettes/introduction.Rmd | 174 243 files changed, 11450 insertions(+), 14331 deletions(-)
Title: Fast Best Subset Selection
Description: Extremely efficient toolkit for solving the best subset selection problem <https://www.jmlr.org/papers/v23/21-1060.html>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <doi:10.1287/ijoc.2022.1241> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.
Author: Jin Zhu [aut, cre] ,
Zezhi Wang [aut],
Liyuan Hu [aut],
Junhao Huang [aut],
Kangkang Jiang [aut],
Yanhang Zhang [aut],
Borui Tang [aut],
Shiyun Lin [aut],
Junxian Zhu [aut],
Canhong Wen [aut],
Heping Zhang [aut] ,
Xueqin Wang [aut] ,
spectra contribu [...truncated...]
Maintainer: Jin Zhu <zhuj37@mail2.sysu.edu.cn>
Diff between abess versions 0.4.9 dated 2024-09-09 and 0.4.10 dated 2025-04-05
abess-0.4.10/abess/DESCRIPTION | 8 - abess-0.4.10/abess/MD5 | 21 ++-- abess-0.4.10/abess/NEWS.md | 3 abess-0.4.10/abess/R/RcppExports.R | 8 + abess-0.4.10/abess/configure.ac | 2 abess-0.4.10/abess/src/AlgorithmGraph.h |only abess-0.4.10/abess/src/AlgorithmIsing.h |only abess-0.4.10/abess/src/RcppExports.cpp | 31 ++++++ abess-0.4.10/abess/src/api.cpp | 96 +++++++++++++++++++ abess-0.4.10/abess/src/api.h | 7 + abess-0.4.10/abess/src/path.h | 1 abess-0.4.10/abess/src/utilities.cpp | 140 +++++++++++++++++++++++++--- abess-0.4.9/abess/tests/testthat/Rplots.pdf |only 13 files changed, 290 insertions(+), 27 deletions(-)
Title: Functions to Help in your Coding Etiquette
Description: Adds some functions to help in your coding etiquette.
'tinycodet' primarily focuses on 4 aspects.
1) Safer decimal (in)equality testing,
standard-evaluated alternatives to with() and aes(),
and other functions for safer coding.
2) A new package import system,
that attempts to combine the benefits of using a package without attaching it,
with the benefits of attaching a package.
3) Extending the string manipulation capabilities of the 'stringi' R package.
4) Reducing repetitive code.
Besides linking to 'Rcpp', 'tinycodet' has only one other dependency, namely 'stringi'.
Author: Tony Wilkes [aut, cre, cph]
Maintainer: Tony Wilkes <tony_a_wilkes@outlook.com>
Diff between tinycodet versions 0.5.4 dated 2025-01-09 and 0.5.6 dated 2025-04-05
DESCRIPTION | 8 ++++---- LICENSE | 2 +- MD5 | 20 ++++++++++---------- NEWS.md | 5 +++++ R/import_as.R | 21 ++++++++++----------- R/import_inops.R | 5 ++++- R/internal_functions.R | 9 +++++++-- R/lock.R | 8 ++++---- man/import_as.Rd | 18 ++++++++---------- man/import_inops.Rd | 5 ++++- src/rcpp_import.cpp | 9 +++++---- 11 files changed, 62 insertions(+), 48 deletions(-)
Title: Generate "LaTeX"" Tables of Descriptive Statistics
Description: These functions are especially helpful when writing reports of data analysis using "Sweave".
Author: Kaspar Rufibach [aut, cre]
Maintainer: Kaspar Rufibach <kaspar.rufibach@gmail.com>
Diff between reporttools versions 1.1.3 dated 2021-10-12 and 1.1.4 dated 2025-04-05
DESCRIPTION | 12 +++++++----- MD5 | 14 +++++++------- NEWS | 4 ++++ build/partial.rdb |binary build/vignette.rds |binary inst/CITATION | 8 ++++---- inst/doc/reporttools.pdf |binary man/addLineBreak.Rd | 2 +- 8 files changed, 23 insertions(+), 17 deletions(-)
Title: Augmented Inverse Probability Weighting
Description: The 'AIPW' package implements the augmented inverse probability weighting, a doubly robust estimator, for average causal effect estimation with user-defined stacked machine learning algorithms. To cite the 'AIPW' package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar, Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects. American Journal of Epidemiology. <doi:10.1093/aje/kwab207>". Visit: <https://yqzhong7.github.io/AIPW/> for more information.
Author: Yongqi Zhong [aut, cre] ,
Ashley Naimi [aut] ,
Gabriel Conzuelo [ctb],
Edward Kennedy [ctb]
Maintainer: Yongqi Zhong <yq.zhong7@gmail.com>
Diff between AIPW versions 0.6.3.2 dated 2021-06-11 and 0.6.9.2 dated 2025-04-05
AIPW-0.6.3.2/AIPW/tests/testthat/test-sl.R |only AIPW-0.6.9.2/AIPW/DESCRIPTION | 10 AIPW-0.6.9.2/AIPW/MD5 | 67 - AIPW-0.6.9.2/AIPW/NAMESPACE | 12 AIPW-0.6.9.2/AIPW/NEWS.md |only AIPW-0.6.9.2/AIPW/R/AIPW.R | 80 + AIPW-0.6.9.2/AIPW/R/AIPW_base.R | 13 AIPW-0.6.9.2/AIPW/R/AIPW_nuis.R | 2 AIPW-0.6.9.2/AIPW/R/AIPW_tmle.R | 35 AIPW-0.6.9.2/AIPW/R/Repeated.R |only AIPW-0.6.9.2/AIPW/R/aipw_wrapper.R | 4 AIPW-0.6.9.2/AIPW/R/data.R | 4 AIPW-0.6.9.2/AIPW/README.md | 341 +++++-- AIPW-0.6.9.2/AIPW/build/vignette.rds |binary AIPW-0.6.9.2/AIPW/inst/CITATION | 21 AIPW-0.6.9.2/AIPW/inst/doc/AIPW.R | 59 + AIPW-0.6.9.2/AIPW/inst/doc/AIPW.Rmd | 85 + AIPW-0.6.9.2/AIPW/inst/doc/AIPW.html | 642 +++++++++++---- AIPW-0.6.9.2/AIPW/inst/doc/Repated_Crossfitting.R |only AIPW-0.6.9.2/AIPW/inst/doc/Repated_Crossfitting.Rmd |only AIPW-0.6.9.2/AIPW/inst/doc/Repated_Crossfitting.html |only AIPW-0.6.9.2/AIPW/man/AIPW.Rd | 10 AIPW-0.6.9.2/AIPW/man/AIPW_base.Rd | 2 AIPW-0.6.9.2/AIPW/man/AIPW_tmle.Rd | 20 AIPW-0.6.9.2/AIPW/man/Repeated.Rd |only AIPW-0.6.9.2/AIPW/man/aipw_wrapper.Rd | 4 AIPW-0.6.9.2/AIPW/man/eager_sim_obs.Rd | 2 AIPW-0.6.9.2/AIPW/man/eager_sim_rct.Rd | 2 AIPW-0.6.9.2/AIPW/man/figures/one_line-1.png |binary AIPW-0.6.9.2/AIPW/man/figures/one_line-2.png |binary AIPW-0.6.9.2/AIPW/man/repfit.Rd |only AIPW-0.6.9.2/AIPW/man/summary_median.Rd |only AIPW-0.6.9.2/AIPW/tests/testthat/Rplots.pdf |binary AIPW-0.6.9.2/AIPW/tests/testthat/test-AIPW-constructor.R | 10 AIPW-0.6.9.2/AIPW/tests/testthat/test-Repeated.R |only AIPW-0.6.9.2/AIPW/tests/testthat/test-f_lapply.R | 8 AIPW-0.6.9.2/AIPW/tests/testthat/test-fit.R | 3 AIPW-0.6.9.2/AIPW/tests/testthat/test-stratified_fit.R | 1 AIPW-0.6.9.2/AIPW/vignettes/AIPW.Rmd | 85 + AIPW-0.6.9.2/AIPW/vignettes/Repated_Crossfitting.Rmd |only 40 files changed, 1142 insertions(+), 380 deletions(-)
Title: Serialize R Objects to JSON, JavaScript Object Notation
Description: This is a package that allows conversion to and from
data in Javascript object notation (JSON) format.
This allows R objects to be inserted into Javascript/ECMAScript/ActionScript code
and allows R programmers to read and convert JSON content to R objects.
This is an alternative to rjson package. Originally, that was too slow for converting large R objects to JSON
and was not extensible. rjson's performance is now similar to this package, and perhaps slightly faster in some cases.
This package uses methods and is readily extensible by defining methods for different classes,
vectorized operations, and C code and callbacks to R functions for deserializing JSON objects to R.
The two packages intentionally share the same basic interface. This package (RJSONIO) has many additional
options to allow customizing the generation and processing of JSON content.
This package uses libjson rather than implementing yet another JSON parser. The aim is to support
other general projects by building on [...truncated...]
Author: Yaoxiang Li [aut, ctb, cre] ,
CRAN Team [aut],
Duncan Temple Lang [aut] ,
Jonathan Wallace [aut]
Maintainer: Yaoxiang Li <liyaoxiang@outlook.com>
Diff between RJSONIO versions 1.3-1.11 dated 2025-03-26 and 2.0.0 dated 2025-04-05
DESCRIPTION | 27 +- MD5 | 29 +- man/asJSVars.Rd | 99 +++---- man/basicJSONHandler.Rd | 82 +++--- man/fromJSON.Rd | 600 +++++++++++++++++++++++------------------------ man/isValidJSON.Rd | 98 +++---- man/readJSONStream.Rd | 168 ++++++------- man/toJSON.Rd | 442 +++++++++++++++++----------------- src/JSONAllocator.cpp |only src/JSONChildren.cpp |only src/JSONDebug.cpp |only src/JSONIterators.cpp |only src/JSONMemory.cpp |only src/JSONNode.cpp |only src/JSONNode_Mutex.cpp |only src/JSONOptions.h |only src/JSONPreparse.cpp |only src/JSONStream.cpp |only src/JSONValidator.cpp |only src/JSONWorker.cpp |only src/JSONWriter.cpp |only src/internalJSONNode.cpp |only src/libjson.cpp |only 23 files changed, 787 insertions(+), 758 deletions(-)
Title: Smooth Estimation of GPD Shape Parameter
Description: Given independent and identically distributed observations X(1), ..., X(n) from a Generalized Pareto distribution with shape parameter gamma in [-1,0], offers several estimates to compute estimates of gamma. The estimates are based on the principle of replacing the order statistics by quantiles of a distribution function based on a log--concave density function. This procedure is justified by the fact that the GPD density is log--concave for gamma in [-1,0].
Author: Kaspar Rufibach [aut, cre],
Samuel Mueller [aut]
Maintainer: Kaspar Rufibach <kaspar.rufibach@gmail.com>
Diff between smoothtail versions 2.0.5 dated 2016-07-13 and 2.0.6 dated 2025-04-05
DESCRIPTION | 17 ++++++++++------- MD5 | 18 +++++++++--------- NEWS | 4 ++++ man/falk.Rd | 2 +- man/falkMVUE.Rd | 2 +- man/generalizedPick.Rd | 2 +- man/gpd.Rd | 2 +- man/lambdaGenPick.Rd | 2 +- man/pickands.Rd | 2 +- man/smoothtail-package.Rd | 8 ++++---- 10 files changed, 33 insertions(+), 26 deletions(-)
Title: Estimation of Weight Functions in Meta Analysis
Description: Publication bias, the fact that studies identified for inclusion in a meta analysis do not represent all studies on the topic of interest, is commonly recognized as a threat to the validity of the results of a meta analysis. One way to explicitly model publication bias is via selection models or weighted probability distributions. In this package we provide implementations of several parametric and nonparametric weight functions. The novelty in Rufibach (2011) is the proposal of a non-increasing variant of the nonparametric weight function of Dear & Begg (1992). The new approach potentially offers more insight in the selection process than other methods, but is more flexible than parametric approaches. To maximize the log-likelihood function proposed by Dear & Begg (1992) under a monotonicity constraint we use a differential evolution algorithm proposed by Ardia et al (2010a, b) and implemented in Mullen et al (2009). In addition, we offer a method to compute a confidence inter [...truncated...]
Author: Kaspar Rufibach [aut, cre]
Maintainer: Kaspar Rufibach <kaspar.rufibach@gmail.com>
Diff between selectMeta versions 1.0.8 dated 2015-07-03 and 1.0.9 dated 2025-04-05
DESCRIPTION | 12 +++++++----- MD5 | 14 +++++++------- NEWS | 4 ++++ R/pPval.r | 4 ++-- data/education.rda |binary data/passive_smoking.rda |binary man/DearBegg.Rd | 2 +- man/selectMeta-package.Rd | 4 ++-- 8 files changed, 23 insertions(+), 17 deletions(-)
Title: Getting Bibliographic Records from 'OpenAlex' Database Using
'DSL' API
Description: A set of tools to extract bibliographic content from
'OpenAlex' database using API <https://docs.openalex.org>.
Author: Massimo Aria [aut, cre, cph] ,
Corrado Cuccurullo [ctb] ,
Trang Le [aut] ,
June Choe [aut]
Maintainer: Massimo Aria <aria@unina.it>
Diff between openalexR versions 1.4.0 dated 2024-07-11 and 2.0.0 dated 2025-04-05
DESCRIPTION | 14 - MD5 | 72 +++++---- NAMESPACE | 2 NEWS.md | 24 +++ R/coro.R | 5 R/data.R | 13 + R/oa2bibliometrix.R | 34 +--- R/oa2df.R | 272 ++++++++++++++-------------------- R/oa_fetch.R | 73 ++++++--- R/oa_snowball.R | 5 R/openalexR-coverage.R |only R/openalexR-internal.R | 5 R/simplify.R | 12 - R/utils.R | 93 +++++++++++ README.md | 231 ++++++++++------------------ data/concept_abbrev.rda |binary data/oa2df_coverage.rda |only man/abstract_build.Rd |only man/authors2df.Rd | 12 - man/concepts2df.Rd | 11 - man/get_coverage.Rd |only man/institutions2df.Rd | 11 - man/keywords2df.Rd |only man/oa2bibliometrix.Rd | 10 - man/oa2df.Rd | 4 man/oa2df_coverage.Rd |only man/oa_fetch.Rd | 13 + man/oa_generate.Rd | 7 man/oa_query.Rd | 2 man/oa_random.Rd | 11 + man/oa_request.Rd | 4 man/process_affil.Rd |only man/process_paper_authors.Rd |only man/snowball2df.Rd | 5 man/topics2df.Rd | 11 - tests/testthat/test-coverage.R |only tests/testthat/test-group_by.R |only tests/testthat/test-oa2bibliometrix.R | 7 tests/testthat/test-oa2df.R | 4 tests/testthat/test-oa_fetch.R | 81 +++++++--- tests/testthat/test-oa_ngrams.R | 4 tests/testthat/test-oa_snowball.R | 8 - 42 files changed, 586 insertions(+), 474 deletions(-)
Title: Estimation and Additional Tools for Alternative Shared Frailty
Models
Description: Provide estimation and data generation tools for some new multivariate frailty models.
This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders,
truncated normal, mixture of inverse Gaussian, mixture of Birnbaum-Saunders and
generalized exponential as the distribution for the frailty terms. For the basal model,
it is considered a parametric approach based on the exponential, Weibull and the
piecewise exponential distributions as well as a semiparametric approach.
For details, see Gallardo and Bourguignon (2025) <doi:10.1002/bimj.70044> and
Gallardo et al. (2024) <doi:10.1007/s11222-024-10458-w>.
Author: Diego Gallardo [aut, cre],
Marcelo Bourguignon [aut],
John Santibanez [ctb]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>
Diff between extrafrail versions 1.12 dated 2024-09-22 and 1.13 dated 2025-04-05
DESCRIPTION | 24 +- MD5 | 12 - NEWS.md | 3 R/frailty.fit.R | 541 +++++++++++++++++++++++++++++++++++++++++++++++++ R/print.extrafrail.R | 17 + R/summary.extrafrail.R | 17 + man/frailty.fit.Rd | 7 7 files changed, 601 insertions(+), 20 deletions(-)
Title: Meteorological Data Processing
Description: Set of tools aimed at processing meteorological data, converting hourly recorded data to daily, monthly and annual data.
Author: Wagner Martins dos Santos [aut, cre]
,
Hoi Leong Lee [aut],
Edimir Xavier Leal Ferraz [aut]
,
Abelardo Antonio de Assuncao Montenegro [aut],
Lady Daiane Costa de Sousa Martins [aut]
,
Alan Cezar Bezerra [aut],
Ênio Farias de Franca e Silva [aut],
Thi [...truncated...]
Maintainer: Wagner Martins dos Santos <wagnnerms97@gmail.com>
Diff between DataMetProcess versions 1.0.3 dated 2024-10-03 and 1.0.4 dated 2025-04-05
DataMetProcess-1.0.3/DataMetProcess/inst/DataMetProcess_Shiny/app.R |only DataMetProcess-1.0.3/DataMetProcess/inst/DataMetProcess_Shiny/rsconnect |only DataMetProcess-1.0.4/DataMetProcess/DESCRIPTION | 48 DataMetProcess-1.0.4/DataMetProcess/MD5 | 29 DataMetProcess-1.0.4/DataMetProcess/NAMESPACE | 24 DataMetProcess-1.0.4/DataMetProcess/R/calculateETrefPM.R | 6 DataMetProcess-1.0.4/DataMetProcess/build/vignette.rds |binary DataMetProcess-1.0.4/DataMetProcess/inst/DataMetProcess_Shiny/App.R |only DataMetProcess-1.0.4/DataMetProcess/inst/DataMetProcess_Shiny/partitions/ui_partitions/ui_about.R | 6 DataMetProcess-1.0.4/DataMetProcess/inst/doc/DataMetProcess-vignette.R | 32 DataMetProcess-1.0.4/DataMetProcess/inst/doc/DataMetProcess-vignette.html | 4 DataMetProcess-1.0.4/DataMetProcess/inst/extdata/2019_INMET_CO_DF_A001_BRASILIA_01-01-2019_A_31-12-2019.CSV |17538 +++++----- DataMetProcess-1.0.4/DataMetProcess/man/DMPshiny.Rd | 78 DataMetProcess-1.0.4/DataMetProcess/man/adjustDate.Rd | 104 DataMetProcess-1.0.4/DataMetProcess/man/calculateDMY.Rd | 176 DataMetProcess-1.0.4/DataMetProcess/man/calculateETrefPM.Rd | 220 DataMetProcess-1.0.4/DataMetProcess/man/list_inmet.Rd | 74 17 files changed, 9186 insertions(+), 9153 deletions(-)
More information about DataMetProcess at CRAN
Permanent link
Title: Search Download and Handle Data from Copernicus Marine Service
Information
Description: Subset and download data from EU Copernicus Marine
Service Information: <https://data.marine.copernicus.eu>.
Import data on the oceans physical and biogeochemical state
from Copernicus into R without the need of external software.
Author: Pepijn de Vries [aut, cre, dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between CopernicusMarine versions 0.2.4 dated 2024-12-22 and 0.2.5 dated 2025-04-05
DESCRIPTION | 6 +++--- MD5 | 10 +++++----- NEWS.md | 13 +++++++++---- R/cms_products_list.r | 2 +- README.md | 9 +++++---- man/figures/README-leaflet-1.png |binary 6 files changed, 23 insertions(+), 17 deletions(-)
More information about CopernicusMarine at CRAN
Permanent link
Title: Constrained Sampling in Paid Research Studies
Description: In the context of paid research studies and clinical trials, budget considerations and patient sampling from available populations are subject to inherent constraints. We introduce the 'CDsampling' package, which integrates optimal design theories within the framework of constrained sampling. This package offers the possibility to find both D-optimal approximate and exact allocations for samplings with or without constraints. Additionally, it provides functions to find constrained uniform sampling as a robust sampling strategy with limited model information. Our package offers functions for the computation of the Fisher information matrix under generalized linear models (including regular linear regression model) and multinomial logistic models.To demonstrate the applications, we also provide a simulated dataset and a real dataset embedded in the package. Yifei Huang, Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.
Author: Yifei Huang [aut, cre],
Liping Tong [aut],
Jie Yang [aut]
Maintainer: Yifei Huang <yhuan39@uic.edu>
Diff between CDsampling versions 0.1.5 dated 2025-03-30 and 0.1.6 dated 2025-04-05
DESCRIPTION | 8 ++--- MD5 | 16 +++++----- R/bounded_uniform.R | 5 +-- R/print.list_output.R | 35 +++++++++++++++++----- inst/doc/Intro_to_CDsampling.R | 6 +-- inst/doc/Intro_to_CDsampling.Rmd | 12 ++++--- inst/doc/Intro_to_CDsampling.html | 60 ++++++++++++++++++++++---------------- man/bounded_uniform.Rd | 4 +- vignettes/Intro_to_CDsampling.Rmd | 12 ++++--- 9 files changed, 99 insertions(+), 59 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2023-10-20 1.3.1
Title: Easily Create Presentation-Ready Display Tables
Description: Build display tables from tabular data with an easy-to-use
set of functions. With its progressive approach, we can construct
display tables with a cohesive set of table parts. Table values can be
formatted using any of the included formatting functions. Footnotes
and cell styles can be precisely added through a location targeting
system. The way in which 'gt' handles things for you means that you
don't often have to worry about the fine details.
Author: Richard Iannone [aut, cre] ,
Joe Cheng [aut],
Barret Schloerke [aut] ,
Ellis Hughes [aut] ,
Alexandra Lauer [aut] ,
JooYoung Seo [aut] ,
Ken Brevoort [aut] ,
Olivier Roy [aut],
Posit Software, PBC [cph, fnd]
Maintainer: Richard Iannone <rich@posit.co>
Diff between gt versions 0.11.1 dated 2024-10-04 and 1.0.0 dated 2025-04-05
gt-0.11.1/gt/tests/testthat/_snaps/as_gtable.md |only gt-0.11.1/gt/tests/testthat/_snaps/as_latex.md |only gt-0.11.1/gt/tests/testthat/_snaps/utils_render_grid.md |only gt-0.11.1/gt/tests/testthat/test-as_gtable.R |only gt-0.11.1/gt/tests/testthat/test-as_latex.R |only gt-0.11.1/gt/tests/testthat/test-l_fmt_date_time.R |only gt-1.0.0/gt/DESCRIPTION | 13 gt-1.0.0/gt/LICENSE | 2 gt-1.0.0/gt/MD5 | 334 +++++++--------- gt-1.0.0/gt/NAMESPACE | 1 gt-1.0.0/gt/NEWS.md | 26 + gt-1.0.0/gt/R/as_data_frame.R | 2 gt-1.0.0/gt/R/build_data.R | 2 gt-1.0.0/gt/R/cols_add.R | 4 gt-1.0.0/gt/R/cols_align.R | 2 gt-1.0.0/gt/R/cols_align_decimal.R | 2 gt-1.0.0/gt/R/cols_hide.R | 2 gt-1.0.0/gt/R/cols_label.R | 9 gt-1.0.0/gt/R/cols_merge.R | 6 gt-1.0.0/gt/R/cols_move.R | 2 gt-1.0.0/gt/R/cols_units.R | 4 gt-1.0.0/gt/R/cols_width.R | 4 gt-1.0.0/gt/R/compile_scss.R | 4 gt-1.0.0/gt/R/data_color.R | 14 gt-1.0.0/gt/R/datasets.R | 4 gt-1.0.0/gt/R/dt__.R | 2 gt-1.0.0/gt/R/dt_body.R | 2 gt-1.0.0/gt/R/dt_boxhead.R | 25 - gt-1.0.0/gt/R/dt_cols_merge.R | 4 gt-1.0.0/gt/R/dt_data.R | 2 gt-1.0.0/gt/R/dt_footnotes.R | 2 gt-1.0.0/gt/R/dt_formats.R | 2 gt-1.0.0/gt/R/dt_groups_rows.R | 14 gt-1.0.0/gt/R/dt_has_built.R | 2 gt-1.0.0/gt/R/dt_heading.R | 4 gt-1.0.0/gt/R/dt_locale.R | 2 gt-1.0.0/gt/R/dt_options.R | 5 gt-1.0.0/gt/R/dt_row_groups.R | 2 gt-1.0.0/gt/R/dt_source_notes.R | 2 gt-1.0.0/gt/R/dt_spanners.R | 2 gt-1.0.0/gt/R/dt_stub_df.R | 3 gt-1.0.0/gt/R/dt_stubhead.R | 2 gt-1.0.0/gt/R/dt_styles.R | 2 gt-1.0.0/gt/R/dt_substitutions.R | 2 gt-1.0.0/gt/R/dt_summary.R | 13 gt-1.0.0/gt/R/dt_transforms.R | 2 gt-1.0.0/gt/R/export.R | 200 +++++---- gt-1.0.0/gt/R/extract.R | 104 ++-- gt-1.0.0/gt/R/fmt.R | 44 +- gt-1.0.0/gt/R/fmt_date_time.R | 2 gt-1.0.0/gt/R/fmt_number.R | 16 gt-1.0.0/gt/R/format_data.R | 88 +--- gt-1.0.0/gt/R/format_vec.R | 44 +- gt-1.0.0/gt/R/gt-package.R | 2 gt-1.0.0/gt/R/gt.R | 2 gt-1.0.0/gt/R/gt_group.R | 4 gt-1.0.0/gt/R/gt_preview.R | 4 gt-1.0.0/gt/R/gt_split.R | 2 gt-1.0.0/gt/R/gtsave.R | 4 gt-1.0.0/gt/R/helpers.R | 59 +- gt-1.0.0/gt/R/image.R | 2 gt-1.0.0/gt/R/info_tables.R | 8 gt-1.0.0/gt/R/knitr-utils.R | 8 gt-1.0.0/gt/R/location_methods.R | 2 gt-1.0.0/gt/R/modify_rows.R | 2 gt-1.0.0/gt/R/nanoplot.R | 10 gt-1.0.0/gt/R/opts.R | 34 + gt-1.0.0/gt/R/print.R | 2 gt-1.0.0/gt/R/quarto.R | 9 gt-1.0.0/gt/R/reexports.R | 2 gt-1.0.0/gt/R/render_as_html.R | 6 gt-1.0.0/gt/R/render_as_i_html.R | 19 gt-1.0.0/gt/R/resolver.R | 24 - 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Title: Plot Records per Time of Day
Description: Splits date and time of day components from
continuous 'datetime' objects, then plots them using grammar
of graphics ('ggplot2'). Plots can also be decorated with
solar cycle information (e.g., sunset, sunrise, etc.).
This is useful for visualising data that are associated with
the solar cycle.
Author: Pepijn de Vries [aut, cre] ,
Sander Lagerveld [dtc]
Maintainer: Pepijn de Vries <pepijn.devries@outlook.com>
Diff between gghourglass versions 0.0.1 dated 2025-03-25 and 0.0.2 dated 2025-04-05
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Title: Process Biogas Data and Predict Biogas Production
Description: Functions for calculating biochemical methane potential (BMP) from laboratory measurements and other types of data processing and prediction useful for biogas research. Raw laboratory measurements for diverse methods (volumetric, manometric, gravimetric, gas density) can be processed to calculate BMP. Theoretical maximum BMP or methane or biogas yield can be predicted from various measures of substrate composition. Molar mass and calculated oxygen demand (COD') can be determined from a chemical formula. Measured gas volume can be corrected for water vapor and to standard (or user-defined) temperature and pressure. Gas quantity can be converted between volume, mass, and moles. A function for planning BMP experiments can consider multiple constraints in suggesting substrate or inoculum quantities, and check for problems. Inoculum and substrate mass can be determined for planning BMP experiments. Finally, a set of first-order models can be fit to measured methane production rate or cumula [...truncated...]
Author: Sasha D. Hafner [aut, cre] ,
Charlotte Rennuit [aut],
Camilla Justesen [aut],
Nanna Lojborg [aut],
Jacob Mortensen [aut],
Jonas Ohlsson [aut],
Sergi Astals [ctb],
Konrad Koch [ctb],
Soeren Weinrich [ctb],
Jin Mi Triolo [ctb],
Ali Heidarzadeh Vazifehk [...truncated...]
Maintainer: Sasha D. Hafner <sasha.hafner@bce.au.dk>
Diff between biogas versions 1.61 dated 2024-12-05 and 1.64.0 dated 2025-04-05
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Title: Tree-Based Scan Statistics
Description: Implementation of unconditional Bernoulli Scan Statistic developed
by Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039>
for hierarchical tree structures. Tree-based Scan Statistics are an
exploratory method to identify event clusters across the space of a
hierarchical tree.
Author: Joshua P. Entrop [aut, cre, cph]
,
Viktor Wintzell [aut]
Maintainer: Joshua P. Entrop <joshuaentrop@posteo.de>
Diff between TreeMineR versions 1.0.2 dated 2024-08-27 and 1.0.3 dated 2025-04-05
DESCRIPTION | 14 MD5 | 57 ++- NAMESPACE | 12 NEWS.md | 22 - R/TreeMineR.R | 566 ++++++++++++++++++------------------- R/atc_codes.R | 26 - R/calc_llr.R | 66 ++-- R/create_tree.R | 140 ++++----- R/cut_the_tree.R | 124 ++++---- R/diagnoses.R | 32 +- R/drop_cuts.R | 214 ++++++------- R/icd_10_se.R | 26 - R/icd_10_se_dict.R | 26 - README.md | 46 +-- build |only inst |only man/TreeMineR.Rd | 242 +++++++-------- man/atc_codes.Rd | 34 +- man/create_tree.Rd | 44 +- man/diagnoses.Rd | 44 +- man/drop_cuts.Rd | 112 +++---- man/icd_10_se.Rd | 34 +- man/icd_10_se_dict.Rd | 34 +- tests/testthat.R | 24 - tests/testthat/test-TreeMineR.R | 340 +++++++++++----------- tests/testthat/test-calc_llr.R | 16 - tests/testthat/test-create_tree.R | 26 - tests/testthat/test-cut_the_tree.R | 62 ++-- tests/testthat/test-drop_cuts.R | 98 +++--- vignettes |only 30 files changed, 1247 insertions(+), 1234 deletions(-)
Title: Correct Bias in DNA Methylation Analyses
Description: Implementation of the algorithms (with minor modifications)
to correct bias in quantitative DNA methylation analyses as described
by Moskalev et al. (2011) <doi:10.1093/nar/gkr213>. Publication:
Kapsner et al. (2021) <doi:10.1002/ijc.33681>.
Author: Lorenz A. Kapsner [cre, aut, cph]
,
Evgeny A. Moskalev [aut]
Maintainer: Lorenz A. Kapsner <lorenz.kapsner@gmail.com>
Diff between rBiasCorrection versions 0.3.4 dated 2022-06-20 and 0.3.5 dated 2025-04-05
rBiasCorrection-0.3.4/rBiasCorrection/inst/doc/rBiasCorrection_benchmarking.Rmd |only rBiasCorrection-0.3.4/rBiasCorrection/inst/doc/rBiasCorrection_howto.Rmd |only rBiasCorrection-0.3.4/rBiasCorrection/vignettes/rBiasCorrection_benchmarking.Rmd |only rBiasCorrection-0.3.4/rBiasCorrection/vignettes/rBiasCorrection_howto.Rmd |only rBiasCorrection-0.3.5/rBiasCorrection/DESCRIPTION | 22 rBiasCorrection-0.3.5/rBiasCorrection/MD5 | 157 - rBiasCorrection-0.3.5/rBiasCorrection/NAMESPACE | 1 rBiasCorrection-0.3.5/rBiasCorrection/R/aggregated_input.R | 26 rBiasCorrection-0.3.5/rBiasCorrection/R/better_model.R | 18 rBiasCorrection-0.3.5/rBiasCorrection/R/biascorrection.R | 52 rBiasCorrection-0.3.5/rBiasCorrection/R/calibration_plot.R | 90 rBiasCorrection-0.3.5/rBiasCorrection/R/clean_dt.R | 42 rBiasCorrection-0.3.5/rBiasCorrection/R/create_agg_df.R | 10 rBiasCorrection-0.3.5/rBiasCorrection/R/create_exampleplot.R | 14 rBiasCorrection-0.3.5/rBiasCorrection/R/create_plots.R | 2 rBiasCorrection-0.3.5/rBiasCorrection/R/createbarerrorplots.R | 69 rBiasCorrection-0.3.5/rBiasCorrection/R/cubic.R | 122 rBiasCorrection-0.3.5/rBiasCorrection/R/helper-table_prep.R | 2 rBiasCorrection-0.3.5/rBiasCorrection/R/hyperbolic.R | 170 - rBiasCorrection-0.3.5/rBiasCorrection/R/nls_solver.R |only rBiasCorrection-0.3.5/rBiasCorrection/R/plotting_utility.R | 2 rBiasCorrection-0.3.5/rBiasCorrection/R/regression_utility.R | 21 rBiasCorrection-0.3.5/rBiasCorrection/R/solving_equations.R | 2 rBiasCorrection-0.3.5/rBiasCorrection/R/statistics_list.R | 2 rBiasCorrection-0.3.5/rBiasCorrection/R/utils.R | 51 rBiasCorrection-0.3.5/rBiasCorrection/R/zzz.R |only rBiasCorrection-0.3.5/rBiasCorrection/build/partial.rdb |binary rBiasCorrection-0.3.5/rBiasCorrection/build/vignette.rds |binary rBiasCorrection-0.3.5/rBiasCorrection/data/example._plot.df_agg.rda |binary rBiasCorrection-0.3.5/rBiasCorrection/data/example.data_calibration.rda |binary rBiasCorrection-0.3.5/rBiasCorrection/data/example.data_experimental.rda |binary rBiasCorrection-0.3.5/rBiasCorrection/inst/CITATION | 18 rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_benchmarking.R | 71 rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_benchmarking.html | 400 -- rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_benchmarking.qmd |only rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_howto.R | 14 rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_howto.html | 884 ++---- rBiasCorrection-0.3.5/rBiasCorrection/inst/doc/rBiasCorrection_howto.qmd |only rBiasCorrection-0.3.5/rBiasCorrection/man/aggregated_input.Rd | 21 rBiasCorrection-0.3.5/rBiasCorrection/man/better_model.Rd | 10 rBiasCorrection-0.3.5/rBiasCorrection/man/biascorrection.Rd | 40 rBiasCorrection-0.3.5/rBiasCorrection/man/calibration_plot.Rd | 2 rBiasCorrection-0.3.5/rBiasCorrection/man/clean_dt.Rd | 23 rBiasCorrection-0.3.5/rBiasCorrection/man/clean_up.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/create_exampleplot.Rd | 2 rBiasCorrection-0.3.5/rBiasCorrection/man/createbarerrorplots.Rd | 10 rBiasCorrection-0.3.5/rBiasCorrection/man/example._plot.df_agg.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/example._plot_coef_c.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/example._plot_coef_h.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/example.data_calibration.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/example.data_experimental.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/get_timestamp.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/handle_text_input.Rd | 4 rBiasCorrection-0.3.5/rBiasCorrection/man/on_start.Rd | 18 rBiasCorrection-0.3.5/rBiasCorrection/man/plotting_utility.Rd | 10 rBiasCorrection-0.3.5/rBiasCorrection/man/regression_utility.Rd | 2 rBiasCorrection-0.3.5/rBiasCorrection/man/solving_equations.Rd | 14 rBiasCorrection-0.3.5/rBiasCorrection/man/statistics_list.Rd | 8 rBiasCorrection-0.3.5/rBiasCorrection/man/substitutions_create.Rd | 6 rBiasCorrection-0.3.5/rBiasCorrection/man/write_csv.Rd | 2 rBiasCorrection-0.3.5/rBiasCorrection/man/write_log.Rd | 8 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat.R | 4 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/algorithm_minmax_FALSE.md | 1409 +--------- rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/algorithm_minmax_FALSE_re.md | 225 - rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/algorithm_minmax_TRUE.md | 1358 +-------- rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/algorithm_minmax_TRUE_re.md | 225 - rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/clean_dt.md | 960 ++---- rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/create_aggregated.md | 160 - rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/cubic.md |only rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/_snaps/hyperbolic.md | 76 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-algorithm_minmax_FALSE.R | 249 - rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-algorithm_minmax_FALSE_re.R | 46 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-algorithm_minmax_TRUE.R | 249 - rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-algorithm_minmax_TRUE_re.R | 46 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-biascorrection.R | 83 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-clean_dt.R | 100 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-create_aggregated.R | 26 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-cubic.R |only rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-hyperbolic.R | 58 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-plotting.R | 21 rBiasCorrection-0.3.5/rBiasCorrection/tests/testthat/test-utils.R | 3 rBiasCorrection-0.3.5/rBiasCorrection/vignettes/img |only rBiasCorrection-0.3.5/rBiasCorrection/vignettes/rBiasCorrection_benchmarking.qmd |only rBiasCorrection-0.3.5/rBiasCorrection/vignettes/rBiasCorrection_howto.qmd |only 84 files changed, 2443 insertions(+), 5325 deletions(-)
More information about rBiasCorrection at CRAN
Permanent link
Title: Coloured Formatting for Columns
Description: Provides 'pillar' and 'colonnade' generics designed
for formatting columns of data using the full range of colours
provided by modern terminals.
Author: Kirill Mueller [aut, cre] ,
Hadley Wickham [aut],
RStudio [cph]
Maintainer: Kirill Mueller <kirill@cynkra.com>
Diff between pillar versions 1.10.1 dated 2025-01-07 and 1.10.2 dated 2025-04-05
DESCRIPTION | 8 +- MD5 | 46 ++++++------ NEWS.md | 21 +++++ R/ggplot2.R | 4 - R/glimpse.R | 9 +- R/options.R | 4 - R/tbl-format-setup.R | 6 + R/tbl-format.R | 2 inst/doc/debugme.html | 5 - inst/doc/extending.R | 4 - inst/doc/extending.Rmd | 4 - inst/doc/extending.html | 26 +++---- inst/doc/printing.R | 6 + inst/doc/printing.html | 91 ++++++++++++------------ tests/testthat/_snaps/ggplot2/basic.svg | 92 +++++++++++++------------ tests/testthat/_snaps/ggplot2/log-scale.svg | 67 +++++++++--------- tests/testthat/_snaps/glimpse.md | 102 +++++++++++++++++++++++----- tests/testthat/_snaps/tbl-format-setup.md | 17 ++++ tests/testthat/_snaps/tbl-format.md | 46 ++++++++++++ tests/testthat/helper-unknown-rows.R | 3 tests/testthat/test-glimpse.R | 35 +++++++++ tests/testthat/test-tbl-format-setup.R | 7 + tests/testthat/test-tbl-format.R | 27 +++++++ vignettes/extending.Rmd | 4 - 24 files changed, 439 insertions(+), 197 deletions(-)
Title: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions
Description: Provide data generation and estimation tools for the multivariate scale mixtures of normal
presented in Lange and Sinsheimer (1993) <doi:10.2307/1390698>, the multivariate scale
mixtures of skew-normal presented in Zeller, Lachos and Vilca (2011)
<doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of normal
presented in Louredo, Zeller and Ferreira (2021) <doi:10.1007/s13571-021-00257-y>
and the multivariate scale mixtures of skew-normal-Cauchy presented in Kahrari et al. (2020)
<doi:10.1080/03610918.2020.1804582>.
Author: Clecio Ferreira [aut],
Diego Gallardo [aut, cre],
Camila Zeller [aut]
Maintainer: Diego Gallardo <dgallardo@ubiobio.cl>
Diff between skewMLRM versions 1.6 dated 2021-11-24 and 1.7 dated 2025-04-05
DESCRIPTION | 12 ++++++------ MD5 | 6 +++--- NEWS.md | 3 +++ man/rM.Rd | 2 +- 4 files changed, 13 insertions(+), 10 deletions(-)
Title: R Interface to 'Redatam' Library
Description: Provides an API to work with 'Redatam' (see <https://redatam.org>)
databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running
'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam'
core and provides functions to open/close a database (redatam_open()/redatam_close()),
list entities and variables from the database (redatam_entities(), redatam_variables())
and execute a 'SPC' program and gets the results as data frames
(redatam_query(), redatam_run()).
Author: Jaime Salvador [aut, cre] ,
CELADE [cph]
Maintainer: Jaime Salvador <jaime.salvador@ideasybits.com>
Diff between redatamx versions 1.1.1 dated 2025-04-03 and 1.1.2 dated 2025-04-05
DESCRIPTION | 6 +++--- MD5 | 12 ++++++------ NEWS.md | 5 +++++ README.md | 2 +- configure | 37 ++++++++++++++++++++++--------------- configure.win | 37 +++++++++++++++++++++---------------- src/red_initialize.cpp | 24 ++++++++++++++++-------- 7 files changed, 74 insertions(+), 49 deletions(-)
Title: Download Official Data on Brazil's Federal Budget
Description: Allows users to download and analyze official data on Brazil's federal budget through the 'SPARQL' endpoint
provided by the Integrated Budget and Planning System ('SIOP'). This package enables access to detailed information on budget
allocations and expenditures of the federal government, making it easier to analyze and visualize these data. Technical
information on the Brazilian federal budget is available (Portuguese only) at <https://www1.siop.planejamento.gov.br/mto/>.
The 'SIOP' endpoint is available at <https://www1.siop.planejamento.gov.br/sparql/>.
Author: Daniel Gersten Reiss [aut, cre]
,
Bernardo Borba de Andrade [ctb]
,
Gustavo Jose de Guimaraes e Souza [ctb]
,
Ministerio do Planejamento e Orcamento [cph, fnd]
Maintainer: Daniel Gersten Reiss <daniel.reiss@planejamento.gov.br>
Diff between orcamentoBR versions 1.0.3 dated 2025-03-05 and 1.0.4 dated 2025-04-05
DESCRIPTION | 6 ++--- MD5 | 10 ++++----- R/SIOPutils.R | 37 +++++++++++++++++++++------------ R/orcamentoBR.R | 50 +++++++++++++++++++++++++++------------------ man/despesaDetalhada.Rd | 14 ++++++++++-- man/detailedExpenditure.Rd | 16 +++++++++++--- 6 files changed, 88 insertions(+), 45 deletions(-)
Title: High Throughput 'GoMiner'
Description: Two papers published in the early 2000's (Zeeberg, B.R., Feng, W., Wang, G. et al.
(2003) <doi:10.1186/gb-2003-4-4-r28>) and (Zeeberg, B.R., Qin, H., Narashimhan, S., et al. (2005)
<doi:10.1186/1471-2105-6-168>) implement 'GoMiner' and 'High Throughput GoMiner'
('HTGM') to map lists of genes to the Gene Ontology (GO) <https://geneontology.org>. Until recently,
these were hosted on a server at The National Cancer Institute (NCI). In order to continue
providing these services to the bio-medical community, I have developed stand-alone versions.
The current package 'HTGM' builds upon my recent package 'GoMiner'.
The output of 'GoMiner' is a heatmap showing the relationship of a single list
of genes and the significant categories into which they map. 'High Throughput GoMiner'
('HTGM') integrates the results of the individual 'GoMiner' analyses. The output of 'HTGM'
is a heatmap showing the relationship of the significant categories derived from each gene list.
The heatmap [...truncated...]
Author: Barry Zeeberg [aut, cre]
Maintainer: Barry Zeeberg <barryz2013@gmail.com>
Diff between HTGM versions 1.0 dated 2025-04-02 and 1.1 dated 2025-04-05
DESCRIPTION | 8 ++++---- MD5 | 8 ++++---- R/HTGM.R | 5 ++++- inst/doc/HTGM.html | 4 ++-- man/hyperlinks.Rd | 5 ++++- 5 files changed, 18 insertions(+), 12 deletions(-)
Title: A Convenient R Interface with the OpenAI 'ChatGPT' API
Description: A convenient interface with the OpenAI 'ChatGPT' API <https://openai.com/api>. 'gptr' allows you to interact with 'ChatGPT', a powerful language model, for various natural language processing tasks. The 'gptr' R package makes talking to 'ChatGPT' in R super easy. It helps researchers and data folks by simplifying the complicated stuff, like asking questions and getting answers. With 'gptr', you can use 'ChatGPT' in R without any hassle, making it simpler for everyone to do cool things with language!
Author: Wanjun Gu [aut, cre]
Maintainer: Wanjun Gu <wanjun.gu@ucsf.edu>
Diff between gptr versions 0.6.0 dated 2024-05-07 and 0.7.0 dated 2025-04-05
DESCRIPTION | 6 +++--- MD5 | 7 ++++--- R/get_response.R | 16 ++++++++-------- README.md | 14 +++++++++----- man/img |only 5 files changed, 24 insertions(+), 19 deletions(-)
Title: Integrating Ecosystem Remote Sensing Products to Derive EBV
Indicators
Description: Essential Biodiversity Variables (EBV) are state variables with dimensions on time, space, and biological organization that document biodiversity change. Freely available ecosystem remote sensing products (ERSP) are downloaded and integrated with data for national or regional domains to derive indicators for EBV in the class ecosystem structure (Pereira et al., 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents, fragmentation, and information-theory indices. To process ERSP, users must provide a polygon or geographic administrative data map. Downloadable ERSP include Global Surface Water (Peckel et al., 2016) <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013) <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et al., 2013) <doi:10.1080/17538947.2013.786146>.
Author: Wilson Lara Henao [aut, cre] ,
Victor Gutierrez-Velez [aut] ,
Ivan Gonzalez [ctb] ,
Maria C. Londono [ctb]
Maintainer: Wilson Lara Henao <wilarhen@gmail.com>
Diff between ecochange versions 2.9.3.2 dated 2024-06-11 and 2.9.3.3 dated 2025-04-05
DESCRIPTION | 8 MD5 | 48 ++-- NEWS | 182 +++++++--------- R/EBVstats.R | 6 R/gaugeIndicator.R | 6 R/plot.EBVstats.R | 2 R/plot.Indicator.R | 2 R/sampleIndicator.R | 4 R/tabuleRaster.R | 4 build/vignette.rds |binary inst/doc/EcochangeTutorial.R | 126 +++++------ inst/doc/EcochangeTutorial.html | 437 +++++++++++++++++++++++++--------------- man/EBVstats.Rd | 11 - man/echanges.Rd | 5 man/gaugeIndicator.Rd | 11 - man/getGADM.Rd | 16 - man/getWRS.Rd | 13 - man/getrsp.Rd | 15 - man/listGP.Rd | 5 man/plot.EBVstats.Rd | 7 man/plot.Indicator.Rd | 7 man/plot.echanges.Rd | 5 man/rsp2ebv.Rd | 23 +- man/sampleIndicator.Rd | 9 man/tabuleRaster.Rd | 15 - 25 files changed, 556 insertions(+), 411 deletions(-)
Title: Biological Analysis and Visualization of Weather Radar Data
Description: Extract, visualize and summarize aerial movements of birds and
insects from weather radar data. See Dokter, A. M. et al. (2018)
"bioRad: biological analysis and visualization of weather radar data" <doi:10.1111/ecog.04028>
for a software paper describing package and methodologies.
Author: Adriaan M. Dokter [aut, cre] ,
Peter Desmet [aut] ,
Bart Kranstauber [aut] ,
Cecilia Nilsson [aut] ,
Stijn Van Hoey [aut] ,
Bart Hoekstra [ctb] ,
Pieter Huybrechts [ctb] ,
Hidde Leijnse [ctb] ,
Nicolas Noe [ctb] ,
Raphael Nussbaumer [ctb] ,
Jurriaan [...truncated...]
Maintainer: Adriaan M. Dokter <biorad@cornell.edu>
Diff between bioRad versions 0.9.0 dated 2025-03-31 and 0.9.1 dated 2025-04-05
DESCRIPTION | 8 ++++---- MD5 | 16 ++++++++-------- NEWS.md | 4 ++++ R/map.R | 6 ++++-- README.md | 2 +- inst/doc/bioRad.html | 2 +- inst/doc/range_correction.html | 19 +++++++++++-------- man/figures/README-plot_ppi-1.png |binary man/map.Rd | 4 ++++ 9 files changed, 37 insertions(+), 24 deletions(-)
Title: Small Area Estimation Using Model-Assisted Projection Method
Description: Combines information from two independent surveys using a model-assisted projection method. Designed for survey sampling scenarios where a large sample collects only auxiliary information (Survey 1) and a smaller sample provides data on both variables of interest and auxiliary variables (Survey 2). Implements a working model to generate synthetic values of the variable of interest by fitting the model to Survey 2 data and predicting values for Survey 1 based on its auxiliary variables (Kim & Rao, 2012) <doi:10.1093/biomet/asr063>.
Author: Ridson Al Farizal P [aut, cre, cph]
,
Azka Ubaidillah [aut] ,
Silvi Ajeng Larasati [aut],
Amelia Rahayu [aut]
Maintainer: Ridson Al Farizal P <ridsonalfarizal15@gmail.com>
Diff between sae.projection versions 0.1.2 dated 2025-02-18 and 0.1.3 dated 2025-04-05
sae.projection-0.1.2/sae.projection/R/proj_random_forest.R |only sae.projection-0.1.2/sae.projection/data/df_susenas_mar2020.rda |only sae.projection-0.1.2/sae.projection/data/df_susenas_sep2020.rda |only sae.projection-0.1.2/sae.projection/man/df_susenas_mar2020.Rd |only sae.projection-0.1.2/sae.projection/man/df_susenas_sep2020.Rd |only sae.projection-0.1.2/sae.projection/man/proj_random_forest.Rd |only sae.projection-0.1.3/sae.projection/DESCRIPTION | 19 sae.projection-0.1.3/sae.projection/MD5 | 40 sae.projection-0.1.3/sae.projection/NAMESPACE | 7 sae.projection-0.1.3/sae.projection/R/data.R | 331 ++-- sae.projection-0.1.3/sae.projection/R/projection.R | 674 ++++------ sae.projection-0.1.3/sae.projection/R/projection_randomforest.R |only sae.projection-0.1.3/sae.projection/R/projection_xgboost.R |only sae.projection-0.1.3/sae.projection/data/df_survey_A.rda |only sae.projection-0.1.3/sae.projection/data/df_survey_B.rda |only sae.projection-0.1.3/sae.projection/data/df_svy22.rda |binary sae.projection-0.1.3/sae.projection/data/df_svy23.rda |binary sae.projection-0.1.3/sae.projection/data/df_svy_A.rda |only sae.projection-0.1.3/sae.projection/data/df_svy_B.rda |only sae.projection-0.1.3/sae.projection/man/df_survey_A.Rd |only sae.projection-0.1.3/sae.projection/man/df_survey_B.Rd |only sae.projection-0.1.3/sae.projection/man/df_svy22.Rd | 6 sae.projection-0.1.3/sae.projection/man/df_svy23.Rd | 6 sae.projection-0.1.3/sae.projection/man/df_svy_A.Rd |only sae.projection-0.1.3/sae.projection/man/df_svy_B.Rd |only sae.projection-0.1.3/sae.projection/man/projection.Rd | 14 sae.projection-0.1.3/sae.projection/man/projection_randomforest.Rd |only sae.projection-0.1.3/sae.projection/man/projection_rf.Rd | 8 sae.projection-0.1.3/sae.projection/man/projection_rf_CorrectedBias.Rd | 12 sae.projection-0.1.3/sae.projection/man/projection_xgboost.Rd |only 30 files changed, 588 insertions(+), 529 deletions(-)
More information about sae.projection at CRAN
Permanent link
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-12-06 0.5.0
2022-06-08 0.4.0
2022-02-04 0.3.1
2021-12-11 0.3.0
2021-11-02 0.2.0
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2025-02-17 0.1.0
Title: A Flexible Algorithm for Model Selection
Description: Given a set of parameters describing model dynamics and a corresponding cost function,
FAMoS performs a dynamic forward-backward model selection on a specified selection
criterion. It also applies a non-local swap search method. Works on any cost function.
For detailed information see Gabel et al. (2019) <doi:10.1371/journal.pcbi.1007230>.
Author: Michael Gabel [aut, cre],
Tobias Hohl [aut]
Maintainer: Michael Gabel <m_gabel@gmx.de>
Diff between FAMoS versions 0.3.0 dated 2020-04-14 and 0.3.1 dated 2025-04-05
FAMoS-0.3.0/FAMoS/vignettes/FAMoS-EvaluationFunctions_files |only FAMoS-0.3.1/FAMoS/DESCRIPTION | 16 FAMoS-0.3.1/FAMoS/MD5 | 76 +-- FAMoS-0.3.1/FAMoS/NEWS.md | 5 FAMoS-0.3.1/FAMoS/R/base_optim_function.R | 16 FAMoS-0.3.1/FAMoS/R/famos_function.R | 80 +-- FAMoS-0.3.1/FAMoS/R/retrieve_results_function.R | 160 +++--- FAMoS-0.3.1/FAMoS/R/return_results_function.R | 254 +++++----- FAMoS-0.3.1/FAMoS/README.md | 23 FAMoS-0.3.1/FAMoS/build/vignette.rds |binary FAMoS-0.3.1/FAMoS/inst/doc/FAMoS-EvaluationFunctions.R | 82 +-- FAMoS-0.3.1/FAMoS/inst/doc/FAMoS-EvaluationFunctions.html | 171 ++++-- FAMoS-0.3.1/FAMoS/inst/doc/FAMoS-Examples.R | 222 ++++---- FAMoS-0.3.1/FAMoS/inst/doc/FAMoS-Examples.html | 279 ++++++----- FAMoS-0.3.1/FAMoS/man/aicc.weights.Rd | 62 +- FAMoS-0.3.1/FAMoS/man/base.optim.Rd | 204 ++++---- FAMoS-0.3.1/FAMoS/man/combine.and.fit.Rd | 80 +-- FAMoS-0.3.1/FAMoS/man/combine.par.Rd | 64 +- FAMoS-0.3.1/FAMoS/man/famos.Rd | 302 ++++++------ FAMoS-0.3.1/FAMoS/man/famos.performance.Rd | 76 +-- FAMoS-0.3.1/FAMoS/man/get.most.distant.Rd | 54 +- FAMoS-0.3.1/FAMoS/man/make.directories.Rd | 52 +- FAMoS-0.3.1/FAMoS/man/model.appr.Rd | 64 +- FAMoS-0.3.1/FAMoS/man/parscale.famos.Rd | 74 +- FAMoS-0.3.1/FAMoS/man/random.init.model.Rd | 56 +- FAMoS-0.3.1/FAMoS/man/retrieve.results.Rd | 120 ++-- FAMoS-0.3.1/FAMoS/man/return.results.Rd | 126 ++--- FAMoS-0.3.1/FAMoS/man/sc.order.Rd | 78 +-- FAMoS-0.3.1/FAMoS/man/set.crit.parms.Rd | 58 +- 29 files changed, 1456 insertions(+), 1398 deletions(-)
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2022-07-03 0.1.3
Previous versions (as known to CRANberries) which should be available via the Archive link are:
2024-11-27 0.4.1
2024-10-09 0.4.0
2024-09-17 0.3.0
2024-08-31 0.2.0
2024-07-02 0.1.0
Title: A System of Soil Classification for Making and Interpreting Soil
Surveys
Description: Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy.
Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation.
Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.
Author: Andrew Brown [aut, cre],
Dylan Beaudette [aut]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between SoilTaxonomy versions 0.2.4 dated 2023-11-16 and 0.2.7 dated 2025-04-05
DESCRIPTION | 11 - MD5 | 76 ++++++---- NAMESPACE | 2 NEWS.md | 14 + R/SoilTaxonomyLevels.R | 2 R/data-documentation.R | 113 +++++++++++++-- R/diagnostic-features.R | 2 R/explainST.R | 75 +++++----- R/extractSMR.R | 85 ++++++----- R/family-classes.R | 8 - R/formative-elements.R | 2 R/getLastChildTaxon.R | 2 R/getTaxonCriteria.R |only R/getTaxonSMR.R |only R/higherTaxaCodes.R | 8 - R/higherTaxaLevels.R | 2 R/isValidST.R | 2 README.md | 240 ++++++++++++++++----------------- build/vignette.rds |binary data/ST.rda |binary data/ST_SMR_13th.rda |only data/ST_criteria_13th.rda |only data/ST_family_classes.rda |binary data/ST_features.rda |binary data/ST_formative_elements.rda |binary data/ST_higher_taxa_codes_12th.rda |binary data/ST_higher_taxa_codes_13th.rda |binary data/ST_unique_list.rda |binary data/WRB_4th_2022.rda |only inst/doc/diagnostics.R | 2 inst/doc/diagnostics.html | 238 ++++++++++++++++---------------- inst/doc/family-level_taxonomy.R | 2 inst/doc/family-level_taxonomy.html | 136 +++++++++--------- inst/doc/taxon-letter-codes.R | 2 inst/doc/taxon-letter-codes.html | 154 ++++++++++----------- man/ST_SMR_13th.Rd |only man/ST_criteria_13th.Rd |only man/SoilTaxonomy-package.Rd | 3 man/WRB_4th_2022.Rd |only man/getTaxonCriteria.Rd |only man/getTaxonSMR.Rd |only tests/testthat/test-extractSMR.R | 20 +- tests/testthat/test-getTaxonCriteria.R |only tests/testthat/test-getTaxonSMR.R |only tests/testthat/test-parseFamily.R | 3 45 files changed, 672 insertions(+), 532 deletions(-)
Title: Soil Database Interface
Description: A collection of functions for reading soil data from U.S. Department of Agriculture Natural Resources Conservation Service (USDA-NRCS) and National Cooperative Soil Survey (NCSS) databases.
Author: Dylan Beaudette [aut],
Jay Skovlin [aut],
Stephen Roecker [aut],
Andrew Brown [aut, cre]
Maintainer: Andrew Brown <andrew.g.brown@usda.gov>
Diff between soilDB versions 2.8.8 dated 2025-02-10 and 2.8.9 dated 2025-04-05
soilDB-2.8.8/soilDB/R/get_projectmapunit_from_NASIS.R |only soilDB-2.8.9/soilDB/DESCRIPTION | 8 soilDB-2.8.9/soilDB/MD5 | 147 ++--- soilDB-2.8.9/soilDB/NAMESPACE | 42 - soilDB-2.8.9/soilDB/NEWS.md | 16 soilDB-2.8.9/soilDB/R/OSDquery.R | 2 soilDB-2.8.9/soilDB/R/SDA-spatial.R | 4 soilDB-2.8.9/soilDB/R/SDA_query.R | 18 soilDB-2.8.9/soilDB/R/aqp_data.R |only soilDB-2.8.9/soilDB/R/estimateColorMixture.R | 33 - soilDB-2.8.9/soilDB/R/fetchKSSL.R | 106 ++- soilDB-2.8.9/soilDB/R/fetchLDM.R | 25 soilDB-2.8.9/soilDB/R/fetchNASISLabData.R | 10 soilDB-2.8.9/soilDB/R/fetchNASISWebReport.R | 12 soilDB-2.8.9/soilDB/R/fetchNASIS_components.R | 51 + soilDB-2.8.9/soilDB/R/fetchNASIS_pedons.R | 40 - soilDB-2.8.9/soilDB/R/fetchNASIS_report.R | 42 - soilDB-2.8.9/soilDB/R/fetchOSD.R | 48 + soilDB-2.8.9/soilDB/R/fetchPedonPC.R | 24 soilDB-2.8.9/soilDB/R/fetchRaCA.R | 24 soilDB-2.8.9/soilDB/R/fetchSDA_spatial.R | 25 soilDB-2.8.9/soilDB/R/fetchSOLUS.R | 18 soilDB-2.8.9/soilDB/R/fetchSRI.R | 9 soilDB-2.8.9/soilDB/R/fetchSoilGrids.R | 15 soilDB-2.8.9/soilDB/R/fetchVegdata.R | 24 soilDB-2.8.9/soilDB/R/get_NASIS_table_name_by_purpose.R | 3 soilDB-2.8.9/soilDB/R/get_SDA_hydric.R | 9 soilDB-2.8.9/soilDB/R/get_SDA_interpretation.R | 78 ++ soilDB-2.8.9/soilDB/R/get_SDA_property.R | 274 ++++++++-- soilDB-2.8.9/soilDB/R/get_colors_from_NASIS_db.R | 5 soilDB-2.8.9/soilDB/R/get_colors_from_pedon_db.R | 2 soilDB-2.8.9/soilDB/R/get_component_data_from_NASIS_db.R | 5 soilDB-2.8.9/soilDB/R/get_component_from_GDB.R | 106 ++- soilDB-2.8.9/soilDB/R/get_component_from_SDA.R | 29 - soilDB-2.8.9/soilDB/R/get_project_from_NASIS.R |only soilDB-2.8.9/soilDB/R/get_site_data_from_NASIS_db.R | 35 + soilDB-2.8.9/soilDB/R/get_vegplot_data_from_NASIS_db.R | 54 + soilDB-2.8.9/soilDB/R/simplifyColorData.R | 32 - soilDB-2.8.9/soilDB/R/soilDB-package.R | 44 + soilDB-2.8.9/soilDB/R/uncode.R | 3 soilDB-2.8.9/soilDB/R/utils.R | 84 +-- soilDB-2.8.9/soilDB/inst/WORDLIST | 44 + soilDB-2.8.9/soilDB/inst/doc/fetchNASIS.R | 2 soilDB-2.8.9/soilDB/inst/doc/fetchNASIS.Rmd | 2 soilDB-2.8.9/soilDB/inst/doc/wcs-ssurgo.R | 28 - soilDB-2.8.9/soilDB/inst/doc/wcs-ssurgo.Rmd | 28 - soilDB-2.8.9/soilDB/inst/doc/wcs-ssurgo.html | 102 ++- soilDB-2.8.9/soilDB/man/OSDquery.Rd | 2 soilDB-2.8.9/soilDB/man/SDA_spatialQuery.Rd | 4 soilDB-2.8.9/soilDB/man/estimateColorMixture.Rd | 2 soilDB-2.8.9/soilDB/man/fetchGDB.Rd | 8 soilDB-2.8.9/soilDB/man/fetchKSSL.Rd | 12 soilDB-2.8.9/soilDB/man/fetchLDM.Rd | 2 soilDB-2.8.9/soilDB/man/fetchOSD.Rd | 18 soilDB-2.8.9/soilDB/man/fetchSOLUS.Rd | 2 soilDB-2.8.9/soilDB/man/fetchSoilGrids.Rd | 8 soilDB-2.8.9/soilDB/man/fetchVegdata.Rd | 36 + soilDB-2.8.9/soilDB/man/get_NASIS_metadata.Rd | 1 soilDB-2.8.9/soilDB/man/get_mapunit_from_NASIS.Rd | 6 soilDB-2.8.9/soilDB/man/get_project_from_NASIS.Rd |only soilDB-2.8.9/soilDB/man/get_site_data_from_NASIS_db.Rd | 7 soilDB-2.8.9/soilDB/man/loafercreek.Rd | 44 + soilDB-2.8.9/soilDB/man/simplifyColorData.Rd | 7 soilDB-2.8.9/soilDB/tests/testthat/test-aqp_data.R |only soilDB-2.8.9/soilDB/tests/testthat/test-estimateColorMixture.R | 40 - soilDB-2.8.9/soilDB/tests/testthat/test-fetchKSSL.R | 38 - soilDB-2.8.9/soilDB/tests/testthat/test-fetchLDM.R | 18 soilDB-2.8.9/soilDB/tests/testthat/test-fetchNASISLabData.R | 15 soilDB-2.8.9/soilDB/tests/testthat/test-fetchNASISWebReport.R | 24 soilDB-2.8.9/soilDB/tests/testthat/test-fetchOSD.R | 30 - soilDB-2.8.9/soilDB/tests/testthat/test-fetchSDA_component.R | 25 soilDB-2.8.9/soilDB/tests/testthat/test-fetchSRI.R | 92 +-- soilDB-2.8.9/soilDB/tests/testthat/test-fetchSoilGrids.R | 32 - soilDB-2.8.9/soilDB/tests/testthat/test-simplifyColorData.R | 34 - soilDB-2.8.9/soilDB/tests/testthat/test-soilDBdata.R | 7 soilDB-2.8.9/soilDB/vignettes/fetchNASIS.Rmd | 2 soilDB-2.8.9/soilDB/vignettes/wcs-ssurgo.Rmd | 28 - 77 files changed, 1427 insertions(+), 829 deletions(-)
Title: Comprehensive TIFF I/O with Full Support for 'ImageJ' TIFF Files
Description: General purpose TIFF file I/O for R users. Currently the
only such package with read and write support for TIFF files with
floating point (real-numbered) pixels, and the only package that can
correctly import TIFF files that were saved from 'ImageJ' and write
TIFF files than can be correctly read by 'ImageJ'
<https://imagej.net/ij/>. Also supports text image I/O.
Author: Rory Nolan [aut, cre] ,
Kent Johnson [aut],
Simon Urbanek [ctb],
Sergi Padilla-Parra [ths] ,
Jeroen Ooms [rev, ctb] ,
Jon Clayden [rev]
Maintainer: Rory Nolan <rorynoolan@gmail.com>
Diff between ijtiff versions 3.1.1 dated 2025-03-21 and 3.1.3 dated 2025-04-05
DESCRIPTION | 6 +-- MD5 | 18 ++++----- NEWS.md | 12 ++++++ README.md | 1 inst/doc/reading-and-writing-images.html | 28 +++++++------- inst/doc/text-images.html | 4 +- inst/doc/the-imagej-problem.html | 8 ++-- inst/doc/tiff-tags.html | 4 +- src/tags.c | 29 +------------- tools/config/configure.R | 62 +++++++++++++++---------------- 10 files changed, 79 insertions(+), 93 deletions(-)