Sun, 15 Feb 2026

Package pathling updated to version 9.3.0 with previous version 9.2.0 dated 2026-01-20

Title: A Library for using 'Pathling'
Description: R API for 'Pathling', a tool for querying and transforming electronic health record data that is represented using the 'Fast Healthcare Interoperability Resources' (FHIR) standard - see <https://pathling.csiro.au/docs>.
Author: Australian e-Health Research Centre, CSIRO [cph, cre], Piotr Szul [aut], John Grimes [aut]
Maintainer: "Australian e-Health Research Centre, CSIRO" <pathling@csiro.au>

Diff between pathling versions 9.2.0 dated 2026-01-20 and 9.3.0 dated 2026-02-15

 DESCRIPTION                        |   12 +-
 MD5                                |   10 +-
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More information about pathling at CRAN
Permanent link

Package afttest updated to version 4.5.2.1 with previous version 4.5.2 dated 2026-02-15

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', arXiv, <doi:10.48550/arXiv.2511.098 [...truncated...]
Author: Woojung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: Woojung Bae <matt.woojung@gmail.com>

Diff between afttest versions 4.5.2 dated 2026-02-15 and 4.5.2.1 dated 2026-02-15

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More information about afttest at CRAN
Permanent link

Package osmapiR updated to version 0.2.5 with previous version 0.2.4 dated 2025-08-18

Title: 'OpenStreetMap' API
Description: Interface to 'OpenStreetMap API' for fetching and saving data from/to the 'OpenStreetMap' database (<https://wiki.openstreetmap.org/wiki/API_v0.6>).
Author: Joan Maspons [aut, cre, cph] , Jon Harmon [rev] , Carlos Camara [rev]
Maintainer: Joan Maspons <joanmaspons@gmail.com>

Diff between osmapiR versions 0.2.4 dated 2025-08-18 and 0.2.5 dated 2026-02-15

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More information about osmapiR at CRAN
Permanent link

Package luajr updated to version 0.2.1 with previous version 0.2.0 dated 2025-09-08

Title: 'LuaJIT' Scripting
Description: An interface to 'LuaJIT' <https://luajit.org>, a just-in-time compiler for the 'Lua' scripting language <https://www.lua.org>. Allows users to run 'Lua' code from 'R'.
Author: Mike Pall [aut, cph] , Lua.org, PUC-Rio [cph] , Nicholas Davies [cre, ctb, cph] , Scott Lembcke, Howling Moon Software [ctb, cph]
Maintainer: Nicholas Davies <nicholas.davies@lshtm.ac.uk>

Diff between luajr versions 0.2.0 dated 2025-09-08 and 0.2.1 dated 2026-02-15

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More information about luajr at CRAN
Permanent link

Package healthbR updated to version 0.2.0 with previous version 0.1.1 dated 2026-02-04

Title: Access Brazilian Public Health Data
Description: Provides easy access to Brazilian public health data from multiple sources including VIGITEL (Surveillance of Risk Factors for Chronic Diseases by Telephone Survey), PNS (National Health Survey), 'PNAD' Continua (Continuous National Household Sample Survey), 'POF' (Household Budget Survey with food security and consumption data), 'Censo Demografico' (population denominators via 'SIDRA' API), SIM (Mortality Information System), SINASC (Live Birth Information System), 'SIH' (Hospital Information System), 'SIA' (Outpatient Information System), 'SINAN' (Notifiable Diseases Surveillance), 'CNES' (National Health Facility Registry), 'SI-PNI' (National Immunization Program - aggregated 1994-2019 via FTP, individual-level 'microdata' 2020+ via 'OpenDataSUS' API), 'SISAB' (Primary Care Health Information System - coverage indicators via REST API), ANS ('Agencia Nacional de Saude Suplementar' - supplementary health beneficiaries, consumer complaints, and financial statements), 'ANVISA' ('Agencia [...truncated...]
Author: Sidney Bissoli [aut, cre]
Maintainer: Sidney Bissoli <sbissoli76@gmail.com>

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Package LogisticEnsembles updated to version 1.0.0 with previous version 0.8.2 dated 2025-10-12

Title: Automatically Runs 18 Logistic Models-14 Individual Logistic Models and 4 Ensembles of Models
Description: Automatically returns results from 18 logistic models including 14 individual logistic models and 4 logistic ensembles of models. The package also returns 25 plots, 5 tables, and a summary report. The package automatically builds all 18 models, reports all results, and provides graphics to show how the models performed. This can be used for a wide range of data, such as sports or medical data. The package includes medical data (the Pima Indians data set), and information about the performance of Lebron James. The package can be used to analyze many other examples, such as stock market data. The package automatically returns many values for each model, such as True Positive Rate, True Negative Rate, False Positive Rate, False Negative Rate, Positive Predictive Value, Negative Predictive Value, F1 Score, Area Under the Curve. The package also returns 36 Receiver Operating Characteristic (ROC) curves for each of the 18 models.
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

Diff between LogisticEnsembles versions 0.8.2 dated 2025-10-12 and 1.0.0 dated 2026-02-15

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Package NumericEnsembles updated to version 1.0.0 with previous version 0.10.3 dated 2025-10-12

Title: Automatically Runs 18 Individual and 14 Ensembles of Models
Description: Automatically runs 18 individual models and 14 ensembles on numeric data, for a total of 32 models. The package automatically returns complete results on all 32 models, 25 charts and six tables. The user simply provides the tidy data, and answers a few questions (for example, how many times would you like to resample the data). From there the package randomly splits the data into train, test and validation sets as the user requests (for example, train = 0.60, test = 0.20, validation = 0.20), fits each of models on the training data, makes predictions on the test and validation sets, measures root mean squared error (RMSE), removes features above a user-set level of Variance Inflation Factor, and has several optional features including scaling all numeric data, four different ways to handle strings in the data. Perhaps the most significant feature is the package's ability to make predictions using the 32 pre trained models on totally new (untrained) data if the user selects that feature [...truncated...]
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

Diff between NumericEnsembles versions 0.10.3 dated 2025-10-12 and 1.0.0 dated 2026-02-15

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Package ClassificationEnsembles updated to version 1.0.0 with previous version 0.7.1 dated 2025-10-15

Title: Automatically Builds 12 Classification Models (6 Individual and 6 Ensembles of Models) from Classification Data
Description: Automatically builds 12 classification models from data. The package also returns 25 plots, 5 tables and a summary report.
Author: Russ Conte [aut, cre, cph]
Maintainer: Russ Conte <russconte@mac.com>

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Package alpha.correction.bh updated to version 0.1.0 with previous version 0.0.2 dated 2025-03-10

Title: Benjamini-Hochberg Alpha Correction
Description: Provides the alpha-adjustment correction from "Benjamini, Y., & Hochberg, Y. (1995) <doi:10.1111/j.2517-6161.1995.tb02031.x> Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal statistical society: series B (Methodological), 57(1), 289-300". For researchers interested in using the exact mathematical formulas and procedures as used in the original paper.
Author: Michael Mogessie [aut, cre]
Maintainer: Michael Mogessie <mogessie@upenn.edu>

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Package smdi updated to version 0.3.2 with previous version 0.3.1 dated 2024-10-04

Title: Perform Structural Missing Data Investigations
Description: An easy to use implementation of routine structural missing data diagnostics with functions to visualize the proportions of missing observations, investigate missing data patterns and conduct various empirical missing data diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ, Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data investigations on partially observed confounders in real-world evidence studies. JAMIA Open. 2024 Jan 31;7(1):ooae008. <doi:10.1093/jamiaopen/ooae008>.
Author: Janick Weberpals [aut, cre, cph]
Maintainer: Janick Weberpals <janick.developer@gmail.com>

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Package rerddapXtracto updated to version 1.2.5 with previous version 1.2.4 dated 2026-01-21

Title: Extracts Environmental Data from 'ERDDAP™' Web Services
Description: Contains three functions that access environmental data from any 'ERDDAP™' data web service. The rxtracto() function extracts data along a trajectory for a given "radius" around the point. The rxtracto_3D() function extracts data in a box. The rxtractogon() function extracts data in a polygon. All of those three function use the 'rerddap' package to extract the data, and should work with any 'ERDDAP™' server. There are also two functions, plotBBox() and plotTrack() that use the 'plotdap' package to simplify the creation of maps of the data.
Author: Roy Mendelssohn [aut, cre], Marie Auger-Methe [ctb], Sunny Bak-Hospital [ctb]
Maintainer: Roy Mendelssohn <roy.mendelssohn@noaa.gov>

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Package asympDiag updated to version 0.3.2 with previous version 0.3.1 dated 2025-03-27

Title: Diagnostic Tools for Asymptotic Theory
Description: Leveraging Monte Carlo simulations, this package provides tools for diagnosing regression models. It implements a parametric bootstrap framework to compute statistics, generates diagnostic envelopes to assess goodness-of-fit, and evaluates type I error control for Wald tests. By simulating data under the assumption that the model is true, it helps to identify model mis-specifications and enhances the reliability of the model inferences.
Author: Alvaro Kothe [aut, cre, cph] , Alexandre Patriota [aut]
Maintainer: Alvaro Kothe <kothe65@gmail.com>

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Package ForLion updated to version 0.4.0 with previous version 0.3.0 dated 2025-06-27

Title: 'ForLion' Algorithm to Find D-Optimal Designs for Experiments
Description: Designing experimental plans that involve both discrete and continuous factors with general parametric statistical models using the 'ForLion' algorithm and 'EW ForLion' algorithm. The algorithms searches for locally optimal designs and EW optimal designs under the D-criterion. See Huang, Y., Li, K., Mandal, A., & Yang, J., (2024) <doi:10.1007/s11222-024-10465-x> and Lin, S., Huang, Y., & Yang, J. (2025) <doi:10.48550/arXiv.2505.00629>.
Author: Yifei Huang [aut], Siting Lin [aut, cre], Jie Yang [aut]
Maintainer: Siting Lin <slin95@uic.edu>

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Package stable updated to version 1.1.7 with previous version 1.1.6 dated 2022-03-01

Title: Probability Functions and Generalized Regression Models for Stable Distributions
Description: Density, distribution, quantile and hazard functions of a stable variate; generalized regression models for the parameters of a stable distribution. See the README for how to make equivalent calls to those of 'stabledist' (i.e., Nolan's 0-parameterization and 1-parameterization as detailed in Nolan (2020)). See github for Lambert and Lindsey 1999 JRSS-C journal article, which details the parameterization of the Buck (1995) stable. See the Details section of the `?dstable` help file for context and references.
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] , Philippe Lambert [aut]
Maintainer: Bruce Swihart <bruce.swihart@gmail.com>

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Package rvMF updated to version 0.1.1 with previous version 0.1.0 dated 2024-03-27

Title: Fast Generation of von Mises-Fisher Distributed Pseudo-Random Vectors
Description: Generates pseudo-random vectors that follow an arbitrary von Mises-Fisher distribution on a sphere. This method is fast and efficient when generating a large number of pseudo-random vectors. Functions to generate random variates and compute density for the distribution of an inner product between von Mises-Fisher random vector and its mean direction are also provided. Details are in Kang and Oh (2024) <doi:10.1007/s11222-024-10419-3>.
Author: Seungwoo Kang [aut, cre] , Hee-Seok Oh [aut]
Maintainer: Seungwoo Kang <kangsw0401@snu.ac.kr>

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Package parcr updated to version 0.6.0 with previous version 0.5.3 dated 2025-07-18

Title: Construct Parsers for Structured Text Files
Description: Construct parser combinator functions, higher order functions that parse input. Construction of such parsers is transparent and easy. Their main application is the parsing of structured text files like those generated by laboratory instruments. Based on a paper by Hutton (1992) <doi:10.1017/S0956796800000411>.
Author: Douwe Molenaar [aut, cre, cph]
Maintainer: Douwe Molenaar <d.molenaar@vu.nl>

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Package gsDesign updated to version 3.9.0 with previous version 3.8.0 dated 2025-12-06

Title: Group Sequential Design
Description: Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.
Author: Keaven Anderson [aut, cre], Merck & Co., Inc., Rahway, NJ, USA and its affiliates [cph]
Maintainer: Keaven Anderson <keaven_anderson@merck.com>

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Package FatTailsR updated to version 2.0.1 with previous version 2.0.0 dated 2025-04-21

Title: Kiener Distributions and Fat Tails in Finance and Neuroscience
Description: Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions with left and right, symmetric or asymmetric fat tails in finance, neuroscience and other disciplines. Two algorithms to estimate the distribution parameters, quantiles, value-at-risk and expected shortfall. IMPORTANT: Standardization has been changed in versions >= 2.0.0 to get sd = 1 when kappa = Inf rather than 2*pi/sqrt(3) in versions <= 1.8.6. This affects parameter g (other parameters stay unchanged). Do not update if you need consistent comparisons with previous results for the g parameter.
Author: Patrice Kiener [aut, cre]
Maintainer: Patrice Kiener <fattailsr@inmodelia.com>

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Package swash updated to version 1.3.2 with previous version 1.3.1 dated 2026-01-15

Title: Swash-Backwash Model for the Single Epidemic Wave
Description: The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of spread of infectious diseases across space. This package enables the calculation of the Swash-Backwash Model for user-supplied panel data on regional infections. The package provides additional functions for bootstrap confidence intervals, country comparison, visualization of results, and data management. Furthermore, it contains several functions for analysis and visualization of (spatial) infection data.
Author: Thomas Wieland [aut, cre]
Maintainer: Thomas Wieland <geowieland@googlemail.com>

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Package rvec updated to version 1.0.1 with previous version 1.0.0 dated 2025-12-10

Title: Vectors Representing Random Variables
Description: Random vectors, called rvecs. An rvec holds multiple draws, but tries to behave like a standard R vector, including working well in data frames. Rvecs are useful for analysing output from a simulation or a Bayesian analysis.
Author: John Bryant [aut, cre], Bayesian Demography Limited [cph]
Maintainer: John Bryant <john@bayesiandemography.com>

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Package MLCM updated to version 0.4.4 with previous version 0.4.3 dated 2022-01-11

Title: Maximum Likelihood Conjoint Measurement
Description: Conjoint measurement is a psychophysical procedure in which stimulus pairs are presented that vary along 2 or more dimensions and the observer is required to compare the stimuli along one of them. This package contains functions to estimate the contribution of the n scales to the judgment by a maximum likelihood method under several hypotheses of how the perceptual dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.
Author: Ken Knoblauch [aut], Laurence T. Maloney [aut], Guillermo Aguilar [aut, cre]
Maintainer: Guillermo Aguilar <guillermo.aguilar@mail.tu-berlin.de>

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Package mapedit updated to version 0.8.0 with previous version 0.7.0 dated 2025-04-20

Title: Interactive Editing of Spatial Data in R
Description: Suite of interactive functions and helpers for selecting and editing geospatial data.
Author: Tim Appelhans [aut, cre], Kenton Russell [aut], Lorenzo Busetto [aut], Josh O'Brien [ctb], Jakob Gutschlhofer [ctb], Matt Johnson [ctb], Eli Pousson [ctb]
Maintainer: Tim Appelhans <tim.appelhans@gmail.com>

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Package cryptoQuotes updated to version 1.3.4 with previous version 1.3.3 dated 2025-09-15

Title: Open Access to Cryptocurrency Market Data, Sentiment Indicators and Interactive Charts
Description: This high-level API client provides open access to cryptocurrency market data, sentiment indicators, and interactive charting tools. The data is sourced from major cryptocurrency exchanges via 'curl' and returned in 'xts'-format. The data comes in open, high, low, and close (OHLC) format with flexible granularity, ranging from seconds to months. This flexibility makes it ideal for developing and backtesting trading strategies or conducting detailed market analysis.
Author: Serkan Korkmaz [cre, aut, ctb, cph] , Jonas Cuzulan Hirani [ctb]
Maintainer: Serkan Korkmaz <serkor1@duck.com>

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Package chatLLM updated to version 0.1.4 with previous version 0.1.3 dated 2025-08-19

Title: A Flexible Interface for 'LLM' API Interactions
Description: Provides a flexible interface for interacting with Large Language Model ('LLM') providers including 'OpenAI', 'Azure OpenAI', 'Azure AI Foundry', 'Groq', 'Anthropic', 'DeepSeek', 'DashScope', 'Gemini', 'Grok', 'GitHub Models', and AWS Bedrock. Supports both synchronous and asynchronous chat-completion APIs, with features such as retry logic, dynamic model selection, customizable parameters, and multi-message conversation handling. Designed to streamline integration with state-of-the-art LLM services across multiple platforms.
Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]
Maintainer: Kwadwo Daddy Nyame Owusu Boakye <kwadwo.owusuboakye@outlook.com>

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Package SimSurvNMarker (with last version 0.1.3) was removed from CRAN

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Package TrialSimulator updated to version 1.10.1 with previous version 1.10.0 dated 2026-02-15

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package TrialSimulator updated to version 1.10.0 with previous version 1.7.0 dated 2025-12-19

Title: Clinical Trial Simulator
Description: Simulate phase II and/or phase III clinical trials. It supports various types of endpoints and adaptive strategies. Tools for carrying out graphical testing procedure and combination test under group sequential design are also provided.
Author: Han Zhang [cre, aut]
Maintainer: Han Zhang <zhangh.ustc@gmail.com>

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Package pulsar (with last version 0.3.11) was removed from CRAN

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Package tsmethods updated to version 1.0.3 with previous version 1.0.2 dated 2024-09-22

Title: Time Series Methods
Description: Generic methods for use in a time series probabilistic framework, allowing for a common calling convention across packages. Additional methods for time series prediction ensembles and probabilistic plotting of predictions is included. A more detailed description is available at <https://www.nopredict.com/packages/tsmethods> which shows the currently implemented methods in the 'tsmodels' framework.
Author: Alexios Galanos [aut, cre, cph]
Maintainer: Alexios Galanos <alexios@4dscape.com>

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Package tinycodet updated to version 0.6.0 with previous version 0.5.8 dated 2025-09-21

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>

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Package quickSentiment updated to version 0.2.0 with previous version 0.1.0 dated 2026-02-06

Title: A Fast and Flexible Pipeline for Text Classification
Description: A high-level wrapper that simplifies text classification into three streamlined steps: preprocessing, model training, and prediction. It unifies the interface for multiple algorithms (including 'glmnet', 'ranger', and 'xgboost') and vectorization methods (Bag-of-Words, Term Frequency-Inverse Document Frequency (TF-IDF)), allowing users to go from raw text to a trained sentiment model in two function calls. The resulting model artifact automatically handles preprocessing for new datasets in the third step, ensuring consistent prediction pipelines.
Author: Alabhya Dahal [aut, cre]
Maintainer: Alabhya Dahal <alabhya.dahal@gmail.com>

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 18 files changed, 296 insertions(+), 129 deletions(-)

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Package afttest updated to version 4.5.2 with previous version 4.5.1 dated 2025-11-15

Title: Model Diagnostics for Accelerated Failure Time Models
Description: A collection of model checking methods for semiparametric accelerated failure time (AFT) models under the rank-based approach. For the (computational) efficiency, Gehan's weight is used. It provides functions to verify whether the observed data fit the specific model assumptions such as a functional form of each covariate, a link function, and an omnibus test. The p-value offered in this package is based on the Kolmogorov-type supremum test and the variance of the proposed test statistics is estimated through the re-sampling method. Furthermore, a graphical technique to compare the shape of the observed residual to a number of the approximated realizations is provided. See the following references; A general model-checking procedure for semiparametric accelerated failure time models, Statistics and Computing, 34 (3), 117 <doi:10.1007/s11222-024-10431-7>; Diagnostics for semiparametric accelerated failure time models with R package 'afttest', arXiv, <doi:10.48550/arXiv.2511.098 [...truncated...]
Author: Woojung Bae [aut, cre] , Dongrak Choi [aut] , Jun Yan [aut] , Sangwook Kang [aut]
Maintainer: Woojung Bae <matt.woojung@gmail.com>

Diff between afttest versions 4.5.1 dated 2025-11-15 and 4.5.2 dated 2026-02-15

 afttest-4.5.1/afttest/inst/examples/ex_plot.afttest.R   |only
 afttest-4.5.1/afttest/tests/testthat/test-afttestplot.R |only
 afttest-4.5.2/afttest/DESCRIPTION                       |    8 
 afttest-4.5.2/afttest/MD5                               |   31 
 afttest-4.5.2/afttest/NAMESPACE                         |    3 
 afttest-4.5.2/afttest/R/afttest.R                       |  454 +
 afttest-4.5.2/afttest/R/generic.R                       |  171 
 afttest-4.5.2/afttest/README.md                         |    2 
 afttest-4.5.2/afttest/inst/CITATION                     |    9 
 afttest-4.5.2/afttest/inst/bib/afttest.bib              |    5 
 afttest-4.5.2/afttest/inst/examples/ex_afttest.R        |   78 
 afttest-4.5.2/afttest/man/afttest.Rd                    |  105 
 afttest-4.5.2/afttest/man/plot.afttest.Rd               |   80 
 afttest-4.5.2/afttest/man/print.afttest.Rd              |   78 
 afttest-4.5.2/afttest/man/summary.afttest.Rd            |   78 
 afttest-4.5.2/afttest/src/Makevars                      |only
 afttest-4.5.2/afttest/src/afttest.cpp                   | 3676 +++-------------
 afttest-4.5.2/afttest/tests/testthat/test-afttest.R     |   76 
 18 files changed, 1658 insertions(+), 3196 deletions(-)

More information about afttest at CRAN
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