New package WFC with initial version 2.0.1
Package: WFC
Title: Workflow-Oriented Survey Weight Calibration
Version: 2.0.1
Author: Kunxiang Ma [aut, cre], WEIAN DATA TECH Co., Ltd. [cph, fnd]
Maintainer: Kunxiang Ma <makunxiang@weiandata.com>
Description: Provides a disciplined precheck, execution, and diagnostics workflow for survey weighting and raking. Weight construction requires design-only data, a verified external target, outcome-blind planning, and human approval before weight locking, with bilingual reports for decision and statistical audiences. Converts calibrated and replicate weights into standard survey designs, provides optional broom-style result projections, and records serializable production pipeline provenance. Supports fixed, predeclared soft calibration tolerances and categorical entropy balancing from verified margins, plus panel attrition weighting, high-influence unit diagnostics, Fay's balanced repeated replication, and opt-in parallel execution for long runs. Calibration methods follow Deville and Saerndal (1992) <doi:10.1080/01621459.1992.10475217>, and entropy balancing follows Hainmueller (2012) <doi:10.1093/pan/mpr025>.
License: GPL (>= 2)
Copyright: See file inst/COPYRIGHTS.
URL: https://github.com/weiandata/WFC
BugReports: https://github.com/weiandata/WFC/issues
Encoding: UTF-8
Depends: R (>= 3.6.0)
Imports: digest, parallel, stats, utils
LazyData: true
Suggests: cli, covr, generics, knitr, openxlsx, rmarkdown, survey, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 21:39:56 UTC; makunxiang
Repository: CRAN
Date/Publication: 2026-08-06 13:50:06 UTC

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New package UniLindleyApprox with initial version 0.1.0
Package: UniLindleyApprox
Title: Bayesian Point Estimation Using Lindley's Approximation Under Censoring Schemes
Version: 0.1.0
Description: Performs Bayesian point estimation using Lindley's Approximation (1980) <doi:10.1111/j.2517-6161.1980.tb01102.x> for arbitrary univariate probability distributions under numerous censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, log-prior density, initial parameter vector, support bounds, and observed data; the package automatically computes Bayesian point estimates under various loss functions using Lindley's approximation. Supported schemes include complete data, right censoring, left censoring, interval censoring, random censoring, block random censoring, Type-I censoring, Type-II censoring, progressive Type-II censoring, progressive first failure censoring, joint Type-I censoring, joint Type-II censoring, balanced joint progressive Type-II censoring, hybrid censoring, hybrid Type-I censoring, hybrid Type-II censoring, Type-I hybrid censoring, Type-II progressively hybrid censoring, [...truncated...]
License: GPL-3
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices, utils, methods, numDeriv, MASS
Suggests: testthat (>= 3.0.0), ggplot2, future, parallel, knitr, rmarkdown
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 00:54:59 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:13 UTC

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New package tinyroxygen with initial version 0.1
Package: tinyroxygen
Title: A Tiny 'Roxygen'-Style Documentation Generator
Version: 0.1
Description: A minimalistic, dependency-free alternative to 'roxygen2'. Reads '#'' comment blocks above R functions and objects and turns them into '.Rd' documentation files and a 'NAMESPACE' file. 'tinyroxygen' is to 'roxygen2' what 'tinytest' is to 'testthat', a lightweight alternative built with base R only, with no recursive dependencies to install. 'Roxygen' stands for R documentation inspired by the 'Doxygen' for 'C++' documentation tools.
License: Apache License 2.0
Depends: R (>= 4.1.0)
Encoding: UTF-8
NeedsCompilation: yes
Copyright: See file LICENSE.note for the license of the bundled 'cmark' library used for Markdown support.
Packaged: 2026-07-28 14:00:43 UTC; pacha
Author: Mauricio Vargas Sepulveda [aut, cre]
Maintainer: Mauricio Vargas Sepulveda <m.vargas.sepulveda@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:20:02 UTC

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New package TH with initial version 1.0.0
Package: TH
Title: Educational Hypothesis Tests in R
Version: 1.0.0
Description: Provides educational implementations of one- and two-sample Z tests, Student and Welch t tests, a paired t test, an F test for two variances, and Pearson chi-square tests for goodness of fit, independence, and homogeneity. Functions validate mutually exclusive raw-data and summary-statistics interfaces, return structured htest-compatible results, and optionally display step-by-step graphical explanations.
License: GPL (>= 3)
Encoding: UTF-8
Language: en-US
Imports: graphics, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 00:31:13 UTC; wsbar
Author: Willian Silva Barros [aut, cre, cph]
Maintainer: Willian Silva Barros <willian.barros@ufpel.edu.br>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:20 UTC

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New package tejoR with initial version 0.2.2
Package: tejoR
Title: Statistical Harmonization of Territorial Series Across Changing Geographies
Version: 0.2.2
Description: Builds, validates, seals and applies weighting matrices ('crosswalks') to carry statistical series across changing zoning systems, such as the transition from the 112 Unidades de Planeamiento Zonal (UPZ) to the 33 Unidades de Planeamiento Local (UPL) in Bogota (Decree 555 of 2021). Implements the 'tejo-crosswalk/0.2' specification shared with the 'Python' package 'tejo': 'sha256'-sealed artifacts, non-negative weights that sum to one for each source unit, dasymetric weighting with vector ancillary data via 'sf', rates that are never interpolated directly, and missing values that propagate instead of being silently imputed. Methods: Tobler (1979) <doi:10.1080/01621459.1979.10481647>; Mennis (2003) <doi:10.1111/0033-0124.10042>. Descripcion en espanol: construye, valida, sella y aplica matrices de ponderadores ('crosswalks') para trasladar series estadisticas entre mallas geograficas que cambian, como la transicion de UPZ a UPL en Bogota (Decreto 555 de 2021): integridad por [...truncated...]
License: MIT + file LICENSE
URL: https://github.com/adriGr52/tejoR
BugReports: https://github.com/adriGr52/tejoR/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: sf, jsonlite, digest, stats, utils
Suggests: testthat
NeedsCompilation: no
Packaged: 2026-07-17 15:22:12 UTC; root
Author: Luz Adriana Gutierrez Rodriguez [aut, cre]
Maintainer: Luz Adriana Gutierrez Rodriguez <adrig63@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:50:02 UTC

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New package tanner with initial version 1.8.0
Package: tanner
Title: Puberty Stage Line Diagrams and SDS for Tanner Pubertal Stages
Version: 1.8.0
Date: 2026-07-18
Description: Plots Tanner pubertal stage measurements (genital, pubic hair, testicular volume, breast, menarche) against Dutch 1997 growth-study references as stage line diagrams, and converts observed stages to age-conditional standard deviation scores (SDS). Testicular volume can be entered as a raw orchidometer reading in ml. Implements the method of van Buuren and Ooms (2009) <doi:10.1002/sim.3567>.
License: MIT + file LICENSE
URL: https://github.com/growthcharts/tanner, https://growthcharts.org/tanner/
BugReports: https://github.com/growthcharts/tanner/issues
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: haven
LazyData: true
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 20:39:47 UTC; buurensv
Author: Stef van Buuren [aut, cre], Jeroen Ooms [aut]
Maintainer: Stef van Buuren <stef.vanbuuren@tno.nl>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:02 UTC

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New package qtsa with initial version 0.1.1
Package: qtsa
Title: Quantum Time Series Analysis: Drift, Noise Spectroscopy and Calibration Forecasting
Version: 0.1.1
Author: Leila Marvian Mashhad [aut, cre]
Maintainer: Leila Marvian Mashhad <leila.marveian@gmail.com>
Description: Tools for exploratory statistical analysis of quantum-hardware calibration time series. The package provides simulators for random telegraph noise (RTN), power-law noise, and Ornstein-Uhlenbeck dephasing; Welch and sine-multitaper power spectral density estimators; a lightweight two-state hidden Markov model for switching signals; cumulative sum (CUSUM) and binary-segmentation diagnostics for calibration drift; residual-quantile interval forecasts; and filter-function calculations for illustrative coherence curves. The package includes a reproducible generator of simulated superconducting-qubit calibration records; it does not retrieve authenticated live provider data. Methodological background is provided by Welch (1967) <doi:10.1109/TAU.1967.1161901>, Thomson (1982) <doi:10.1109/PROC.1982.12433>, Rabiner (1989) <doi:10.1109/5.18626>, Page (1954) <doi:10.1093/biomet/41.1-2.100>, Paladino et al. (2014) <doi:10.1103/RevModPhys.86.361>, and Cywinski et al. ( [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils
NeedsCompilation: no
Packaged: 2026-07-28 17:03:42 UTC; user
Repository: CRAN
Date/Publication: 2026-08-06 13:10:09 UTC

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New package PsyMetricTools with initial version 1.2.2
Package: PsyMetricTools
Version: 1.2.2
Title: Psychometric and Statistical Analysis Tools
Description: Provides tools for psychometric and statistical analysis in social sciences, including functions for data preprocessing, factor analysis, reliability testing, descriptive statistics, visualization of Likert-scale items, measurement invariance analysis, and handling of multi-class imbalance. Facilitates advanced data analysis tasks commonly encountered in psychological and educational research. Includes an updated easy_invariance() function for ordinal data following Wu and Estabrook (2016) <doi:10.1037/met0000051>.
License: GPL (>= 3)
URL: https://github.com/jventural/PsyMetricTools
BugReports: https://github.com/jventural/PsyMetricTools/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: lavaan, semTools, psych, dplyr, tidyr, ggplot2, purrr, tibble, stringr, gridExtra, gtable, grid, pbapply, tidyselect, rlang, grDevices, scales, stats, utils
Suggests: testthat (>= 3.0.0), EGAnet, bootnet, future, future.apply, progressr, progress, careless, qgraph, semPlot, ggridges, ggpubr, forcats, RColorBrewer, openxlsx, lavaan.mi, blavaan, HDInterval, ggplotify, patchwork, wesanderson, circlize
NeedsCompilation: no
Packaged: 2026-07-28 17:49:55 UTC; PC
Author: Jose Ventura-Leon [aut, cre]
Maintainer: Jose Ventura-Leon <jventuraleon@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:21 UTC

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New package paintr with initial version 0.0.1
Package: paintr
Title: Create Graphics of 'R' Data Structures
Version: 0.0.1
Description: Draws teaching diagrams of the contents of common 'R' data structures (vectors, matrices, data frames, lists, and arrays) so their shape and values can be read at a glance. Two backends render the same picture, with base 'R' graphics through the paint_*() functions and 'ggplot2' through the gpaint_*() functions. The label under each cell is the expression you would type to reach that cell, so every diagram doubles as a lesson in how to subset and index the object it draws.
URL: https://github.com/coatless-rpkg/paintr, https://r-pkg.thecoatlessprofessor.com/paintr/
BugReports: https://github.com/coatless-rpkg/paintr/issues
Depends: R (>= 4.2.0)
License: GPL (>= 2)
Encoding: UTF-8
Imports: graphics, grDevices, grid
Suggests: downlit, evaluate, ggplot2, knitr, quarto, svglite, testthat (>= 3.0.0), withr
VignetteBuilder: quarto
NeedsCompilation: no
Packaged: 2026-07-28 17:50:25 UTC; ronin
Author: James Joseph Balamuta [aut, cre, cph]
Maintainer: James Joseph Balamuta <james.balamuta@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:10:14 UTC

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New package mochita with initial version 1.0.0
Package: mochita
Title: Test R Web Applications
Version: 1.0.0
Description: Write so-called 'Integration Tests' for your R web applications by declaring an HTTP request and the expectations its response should meet.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: httpuv, nanonext (>= 1.10.1), R6, testthat (>= 3.0.0)
Suggests: routing, yyjsonr
URL: https://github.com/JulioCollazos64/mochita
BugReports: https://github.com/JulioCollazos64/mochita/issues
NeedsCompilation: no
Packaged: 2026-07-29 04:03:52 UTC; julio
Author: Julio Collazos [aut, cre], supertest contributors [ctb, cph]
Maintainer: Julio Collazos <amarullazo626@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:02 UTC

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New package logtree with initial version 0.1.0
Package: logtree
Title: Tree-Style Console Logger for Nested Processes
Version: 0.1.0
Description: Render nested process execution as a live, colored tree in the console, with tree connectors, status glyphs, and elapsed time per step. Nesting depth is tracked via frame exit handlers so it never desynchronizes, even when a step errors. Builds on the 'cli' package for console rendering.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.0)
Imports: cli, rlang, withr
Suggests: covr, jsonlite, knitr, logger, pkgdown, rmarkdown, testthat (>= 3.1.4)
VignetteBuilder: knitr
URL: https://github.com/IvanSortino/logtree, https://ivansortino.github.io/logtree/
BugReports: https://github.com/IvanSortino/logtree/issues
NeedsCompilation: no
Packaged: 2026-07-28 22:10:36 UTC; sortino
Author: Ivan Sortino [aut, cre, cph]
Maintainer: Ivan Sortino <ivan.sortino97@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:08 UTC

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New package IntervalCensoredMultistateR2 with initial version 1.0.0
Package: IntervalCensoredMultistateR2
Title: Regression Analysis in Interval-Censored Multistate Models
Version: 1.0.0
Date: 2026-07-28
Author: Lu You [aut, cre]
Maintainer: Lu You <lu.you@epi.usf.edu>
Description: Estimates regression coefficients in proportional hazards models for interval-censored multistate data. Individuals may be observed at irregular times and their states may be partially observed. Allowable transitions and transition-specific covariate effects can be specified. The numerical estimation is implemented in 'C++' using 'RcppArmadillo'. The method implemented in this package is described in You, Liu, and Krischer (2024) <doi:10.1002/sim.10079>.
License: GPL-3
Imports: Rcpp (>= 1.0.11)
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.6.0)
Suggests: testthat (>= 3.0.0)
LazyData: true
Encoding: UTF-8
NeedsCompilation: yes
Packaged: 2026-07-28 17:53:24 UTC; youl
Repository: CRAN
Date/Publication: 2026-08-06 13:10:28 UTC

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New package fitdistrBayes with initial version 0.2.0
Package: fitdistrBayes
Title: Objective Bayesian Distribution Fitting
Version: 0.2.0
Description: Fits common univariate distributions using registered objective Bayesian priors, including Jeffreys, reference, and maximal data information priors. Model-specific posterior propriety and moment conditions are checked before computation. Exact simulation, marginalization, slice sampling, and adaptive Metropolis algorithms are selected from posterior structure, with a common interface for summaries, diagnostics, prediction, and pointwise log-likelihood evaluation. The reference-prior framework follows Bernardo (1979) <doi:10.1111/j.2517-6161.1979.tb01066.x>.
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Suggests: posterior
NeedsCompilation: no
Packaged: 2026-07-29 01:29:34 UTC; pedro
Author: Pedro Luiz Ramos [aut, cre, cph]
Maintainer: Pedro Luiz Ramos <pedro.ramos@uc.cl>
Repository: CRAN
Date/Publication: 2026-08-06 13:40:14 UTC

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New package BayesSplineUR with initial version 0.1.0
Package: BayesSplineUR
Title: Bayesian Unit Root Test for AR(1) Model with Trend Approximated by Linear Spline Function
Version: 0.1.0
Description: Performs Bayesian unit root testing for autoregressive time series models with non-linear trend components approximated by linear spline functions, as proposed by Kumar et al. (2020) <doi:10.19139/soic-2310-5070-786>. The package 'BayesSplineUR' computes posterior odds ratios, Bayes factors, and posterior probabilities for the unit root hypothesis against trend-stationary alternatives in models with linear spline trends or maintained polynomial trends as developed by Chaturvedi and Kumar (2005) <doi:10.1016/j.spl.2005.04.044>. Includes automatic knot selection using information criteria (AIC/BIC) and theoretical foundations for Bayesian unit root testing under structural breaks and maintained trends drawing from Schotman and van Dijk (1991) <doi:10.1016/0304-4076(91)90038-F>, Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>, Ouliaris et al. (1988) <doi:10.1007/978-94-009-2953-1_10>, and Perron (1989) <doi:10.2307/1913683>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 01:06:10 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:30:02 UTC

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New package BayesPanelUR with initial version 0.1.0
Package: BayesPanelUR
Title: Bayesian Unit Root Test for Panel Data Models
Version: 0.1.0
Description: Implements the Bayesian unit root test for Panel Autoregressive (PAR) time series models developed by Kumar et al. (2016) <https://hdl.handle.net/10419/179393>. The package evaluates the unit root hypothesis (difference stationarity versus trend stationarity) in panel data using the Posterior Odds Ratio (POR). It accommodates PAR models with linear time trend as well as linear time trend with augmentation terms of arbitrary order. Full posterior probabilities, Bayes factors, and individual panel estimates are computed automatically.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-29 02:15:59 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:30:07 UTC

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New package sappviz with initial version 1.0.16
Package: sappviz
Title: Sector-Adjusted Points Plot for Feature Dominance
Version: 1.0.16
Description: Visualizes feature influence by projecting data into 2D via PCA and adjusting points toward sector centers weighted by importances. Supports linear models and optionally tree-based models via SHAP values from the 'fastshap' package. For tree-based models, please install 'fastshap' manually from the CRAN archive: <https://cran.r-project.org/src/contrib/Archive/fastshap/>.
License: MIT + file LICENSE
URL: <https://github.com/FaresAminu/sappviz>
BugReports: https://github.com/FaresAminu/sappviz/issues
Imports: ggplot2 (>= 3.4.0), ggrepel (>= 0.9.0), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, randomForest, MASS, fastshap
Encoding: UTF-8
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 10:53:22 UTC; Click Computers
Author: Mohamed Amine FARES [aut, cre]
Maintainer: Mohamed Amine FARES <fares.mohamedamin@esas-eloued.dz>
Repository: CRAN
Date/Publication: 2026-08-06 12:50:02 UTC

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New package NSTempRFA with initial version 0.2.0
Package: NSTempRFA
Title: Adapts the Regional Frequency Analysis to Air Temperature
Version: 0.2.0
Description: Adapts the index-flood technique to extreme air temperature data. The package uses the additive approach proposed in Martins et al. (2022) <doi:10.1590/1678-4499.20220061> and adapt it to climate change conditions through the use of nonstationary parametric distributions.
License: MIT + file LICENSE
URL: https://github.com/gabrielblain/NSTempRFA
BugReports: https://github.com/gabrielblain/NSTempRFA/issues
Depends: R (>= 3.5)
Imports: extRemes, ismev, lmom, lmomRFA, MASS, Matrix, rrcov, spsUtil, stats, utils
Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
Language: en-US
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-28 11:05:50 UTC; gabrielblain
Author: Gabriel Constantino Blain [aut, cre] , Graciela R. Sobierajski [aut] , Leticia L. Martins [aut] , Adam H. Sparks [aut]
Maintainer: Gabriel Constantino Blain <gabriel.blain@sp.gov.br>
Repository: CRAN
Date/Publication: 2026-08-06 12:50:06 UTC

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New package glcdp with initial version 1.0.0
Package: glcdp
Title: Discover, Access, and Import Global Light Commons Data Packages
Version: 1.0.0
Description: Discovers Global Light Commons data packages through their registry, opens immutable passing revisions, and provides searchable inventories of package metadata. Selected metadata and measurement files can be downloaded or imported with metadata-defined columns, types, factor levels, date-time values, and time zones. 'Git Large File Storage' objects are resolved without requiring an external 'Git LFS' installation, and imported file groups can be explicitly collected into data suitable for personal light exposure analysis workflows. An included 'shiny' application supports interactive discovery, inspection, selection, preview, and reproducible handoff to 'R'.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: cli, digest, dplyr, httr2, jsonlite, lubridate, readr, tibble
Suggests: bslib (>= 0.6.0), knitr, rmarkdown, shiny (>= 1.7.2), testthat (>= 3.0.0)
VignetteBuilder: knitr
URL: https://tscnlab.github.io/glc-dp-r/, https://github.com/tscnlab/glc-dp-r
BugReports: https://github.com/tscnlab/glc-dp-r/issues
NeedsCompilation: no
Packaged: 2026-07-28 18:47:37 UTC; zauner
Author: Johannes Zauner [aut, cre, cph] , Salma M. Thalji [aut, cph] , Manuel Spitschan [aut, cph]
Maintainer: Johannes Zauner <johannes.zauner@tum.de>
Repository: CRAN
Date/Publication: 2026-08-06 13:00:02 UTC

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New package DataAudit with initial version 0.1.0
Package: DataAudit
Title: Comprehensive Data Quality Auditing and Validation
Version: 0.1.0
Description: Provides tools for systematic assessment, validation, and reporting of data quality. The package detects common data-quality problems including missing or blank values, duplicate observations, infinite values, constant and near-zero variance variables, outliers, invalid ranges and categories, type and pattern violations, problematic dates and identifiers, sequence errors, dependency violations, and cross-variable inconsistencies. It also supports reusable validation rules, integrated audit reports, and standardized data-quality scoring for reproducible data-quality assessment workflows.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), tibble
VignetteBuilder: knitr
URL: https://github.com/vinodhpmd/DataAudit
BugReports: https://github.com/vinodhpmd/DataAudit/issues
NeedsCompilation: no
Packaged: 2026-07-28 12:21:45 UTC; m
Author: Vinodh Kumar Obli Rajendran [aut, cre] , Keerthi Aaradhana [aut]
Maintainer: Vinodh Kumar Obli Rajendran <vinodhkumar.rajendran@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 12:40:02 UTC

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New package BCodifSIS with initial version 0.3.2
Package: BCodifSIS
Title: Ball-Codifference Sure Independence Screening
Version: 0.3.2
Description: Computes Ball-codifference scores and performs sure independence screening for high-dimensional predictors. The score combines random-ball empirical probabilities with a bounded local codifference weight based on trigonometric characteristic-function contrasts. The functions are intended for marginal screening when moment-based dependence summaries may be unstable or undefined, such as in heavy-tailed data. The implemented methodology is described in Rezapour and Maroufy (2026) "Ball-Codifference Screening for Heavy-Tailed Predictors" <doi:10.48550/arXiv.2607.20821>.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats
NeedsCompilation: yes
SystemRequirements: C99
URL: https://arxiv.org/abs/2607.20821
Packaged: 2026-07-28 20:12:54 UTC; mrezapou
Author: Mohsen Rezapour [aut, cre]
Maintainer: Mohsen Rezapour <mohsenrzp@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 13:00:08 UTC

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New package UniIS with initial version 0.1.0
Package: UniIS
Title: Importance Sampling Inference for Censored Univariate Data
Version: 0.1.0
Description: Distribution-independent framework for importance-sampling inference with univariate observations subject to censoring or truncation. Users provide probability functions and a proposal over model parameters. Constructs observed-data likelihood contributions, computes numerically stable importance weights, and supplies posterior, likelihood, predictive, diagnostic, and model-comparison summaries. Covers complete, right, left, interval, Type-I, Type-II, progressive Type-II, first-failure, progressive first-failure, doubly Type-II, middle-censored, and left/right-truncated data. Methods for importance sampling and censoring schemes are described in Geweke (1989) <doi:10.2307/2290062>, Hesterberg (1995) <doi:10.1080/00031305.1995.10476138>, Robert and Casella (2004, ISBN:978-0-387-21617-1), Kundu and Joarder (2006) <doi:10.1016/j.csda.2005.05.002>, Banerjee and Kundu (2008) <doi:10.1109/TR.2008.916890>, Iyer, Jammalamadaka, and Kundu (2008) <doi:10.1016/j.jspi.20 [...truncated...]
License: GPL-3
Encoding: UTF-8
Language: en-US
Depends: R (>= 4.1.0)
Imports: stats, graphics
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 16:14:41 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:10:02 UTC

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New package RGDrivers with initial version 0.1.0
Package: RGDrivers
Title: Analysis of Stream Network Topology and Order
Version: 0.1.0
Description: Provides tools for analyzing stream networks, including graph construction, calculation of Link Magnitude, D-LINK, and export of spatial data. The Link Magnitude (Shreve stream order) method follows Shreve (1966) <doi:10.1086/627137>. The D-LINK metric follows Osborne & Wiley (1992) <doi:10.1139/f92-076>.
License: MIT + file LICENSE
URL: https://github.com/diogosbr/RGDrivers
BugReports: https://github.com/diogosbr/RGDrivers/issues
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: terra, igraph, dplyr, sf, rlang
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 16:59:35 UTC; diogo
Author: Diogo S. B. Rocha [aut, cre], Renata T. Capellao [aut]
Maintainer: Diogo S. B. Rocha <diogosbr@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:20:02 UTC

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New package LRErdd with initial version 0.1.0
Package: LRErdd
Title: Regression Discontinuity Designs as Local Randomized Experiments
Version: 0.1.0
Description: A set of functions for the design and analysis of Regression Discontinuity Designs as local randomized experiments within the potential outcome approach as formalized in Li, Mattei and Mealli (2015) <doi:10.1214/15-AOAS809>. A subset of functions implements the design phase of the study, where the focus is on the selection of suitable subpopulations for which valid causal inference can be drawn. These functions provide summary statistics of pre- and post-treatment variables by treatment status and select suitable subpopulations around the threshold where pre-treatment variables are well balanced between treatment groups, using randomization-based tests with adjustment for multiplicities. Functions for a visual inspection of the results are also provided. Finally, the package includes a set of functions for drawing inference on causal effects for the selected subpopulations using randomization-based modes of inference. Specifically, the Fisher Exact p-value and Neyman approaches a [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 3.5)
Imports: ggplot2, cowplot, gtools, R6, shiny, stats
Suggests: knitr, rmarkdown, bslib, shinycssloaders, DT, openxlsx, testthat (>= 3.0.0)
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2026-07-19 18:13:46 UTC; root
Author: Ibon Tamayo [aut, cre], Alessandra Mattei [aut], Fabrizia Mealli [aut], Marie-Abele Bind [aut]
Maintainer: Ibon Tamayo <itamuria@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 10:20:08 UTC

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New package BDPTobitQR with initial version 0.1.0
Package: BDPTobitQR
Title: Bayesian Double-Penalty Tobit Quantile Regression for Longitudinal Interval-Censored Data
Version: 0.1.0
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Description: Implements Bayesian Double-Penalty Tobit Quantile Regression methods for longitudinal interval-censored data as proposed by Zhao et al. (2024) <doi:10.3390/math12121782>. Supports Bayesian Tobit quantile regression with double adaptive Lasso penalty ('PDAL-BTQR'), double Lasso penalty ('PDL-BTQR'), and unpenalized mixed-effects ('P-BTQR'). Handles left, right, interval, and bilateral censoring schemes in longitudinal and clustered structures. Includes Gibbs sampling algorithms, parameter estimation, standard error computation, posterior credible intervals, forecast predictions, DIC, LPML, and diagnostic plotting. References: Tobin (1958) <doi:10.2307/1907382>; Koenker and Bassett (1978) <doi:10.2307/1913643>; Zou (2006) <doi:10.1198/016214506000000735>; Alhamzawi and Yu (2012) <doi:10.1016/j.csda.2011.11.018>; Zhao et al. (2024) <doi:10.3390/math12121782>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: stats, graphics, grDevices
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 02:54:12 UTC; shikhar tyagi
Repository: CRAN
Date/Publication: 2026-08-06 07:00:08 UTC

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New package BayesURTrend with initial version 0.1.0
Package: BayesURTrend
Title: Bayesian Unit Root Test for Model with Maintained Trend
Version: 0.1.0
Description: Performs Bayesian unit root testing for time series models with maintained polynomial trend components as proposed by Chaturvedi and Kumar (2005) <doi:10.1016/j.spl.2005.04.044>. The package 'BayesURTrend' computes posterior odds ratios, Bayes factors, and posterior probabilities for unit root hypotheses against stationary alternatives in autoregressive models augmented with polynomial trends. Methodological foundations for Bayesian unit root testing under structural breaks and maintained trends are drawn from Schotman and van Dijk (1991) <doi:10.1016/0304-4076(91)90038-F>, Phillips and Perron (1988) <doi:10.1093/biomet/75.2.335>, and Ouliaris et al. (1988) <doi:10.1007/978-94-009-2953-1_10>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0)
Imports: stats, graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-07-28 03:12:30 UTC; shikhar tyagi
Author: Shikhar Tyagi [aut, cre] , Arvind Pandey [aut], Bhupendra Singh [aut], Vrijesh Tripathi [aut]
Maintainer: Shikhar Tyagi <shikhar1093tyagi@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-06 07:00:02 UTC

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