Copertina

nonprobsvy -- An R package for modern methods for non-probability surveys

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chrostowski, Łukasz, Chlebicki, Piotr, Beręsewicz, Maciej
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology Applications Computation
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Quantile balancing inverse probability weighting for non-probability samples
di: Beręsewicz, Maciej, et al.
Pubblicazione: (2024)

Data integration of non-probability and probability samples with predictive mean matching
di: Chlebicki, Piotr, et al.
Pubblicazione: (2024)

singleRcapture: An R Package for Single-Source Capture-Recapture Models
di: Chlebicki, Piotr, et al.
Pubblicazione: (2024)

pintervals: an R package for model-agnostic prediction intervals
di: Randahl, David, et al.
Pubblicazione: (2026)

HDNRA: An R package for HDLSS location testing with normal-reference approaches
di: Wang, Pengfei, et al.
Pubblicazione: (2024)

NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
di: Krotka, Pavla, et al.
Pubblicazione: (2023)

Survey calibration for causal inference: a simple method to balance covariate distributions
di: Beręsewicz, Maciej
Pubblicazione: (2023)

svc: An R package for Spatially Varying Coefficient Models
di: Akuoko-Frimpong, Justice, et al.
Pubblicazione: (2025)

BlockingPy: approximate nearest neighbours for blocking of records for entity resolution
di: Strojny, Tymoteusz, et al.
Pubblicazione: (2025)

cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
di: Govan, Emma, et al.
Pubblicazione: (2024)

A Bayesian nonlinear stationary model with multiple frequencies for business cycle analysis
di: Lenart, Łukasz, et al.
Pubblicazione: (2024)

Rank-based methods for estimating landmark win probability in longitudinal randomized controlled trials with missing data
di: Zou, Guangyong, et al.
Pubblicazione: (2026)

tinyVAST: R package with an expressive interface to specify lagged and simultaneous effects in multivariate spatio-temporal models
di: Thorson, James T., et al.
Pubblicazione: (2024)

Thompson, Ulam, or Gauss? Multi-criteria recommendations for posterior probability computation methods in Bayesian response-adaptive trials
di: Kaddaj, Daniel, et al.
Pubblicazione: (2024)

Integrating representative and non-representative survey data for efficient inference
di: Dyrkton, Nathaniel, et al.
Pubblicazione: (2024)

Evaluating Forecasts with scoringutils in R
di: Bosse, Nikos I., et al.
Pubblicazione: (2022)

An integrated method for clustering and association network inference
di: Tous, Jeanne, et al.
Pubblicazione: (2025)

Adaptive tuning of Hamiltonian Monte Carlo methods
di: Akhmatskaya, Elena, et al.
Pubblicazione: (2025)

The landscapemetrics and motif packages for measuring landscape patterns and processes
di: Nowosad, Jakub, et al.
Pubblicazione: (2024)

Representative dietary behavior patterns and associations with cardiometabolic outcomes in Puerto Rico using a Bayesian latent class analysis for non-probability samples
di: Wu, Stephanie M., et al.
Pubblicazione: (2025)

ldmppr: Location Dependent Marked Point Processes in R
di: Drew, Lane, et al.
Pubblicazione: (2026)

Generalized method of L-moment estimation for stationary and nonstationary extreme value models
di: Shin, Yonggwan, et al.
Pubblicazione: (2025)

Conditional probability tensor decompositions for multivariate categorical response regression
di: Molstad, Aaron J., et al.
Pubblicazione: (2022)

pumBayes: Bayesian Estimation of Probit Unfolding Models for Binary Preference Data in R
di: Shi, Skylar, et al.
Pubblicazione: (2025)

Efficient Bayesian inference for non-linear association structures in joint models: A hierarchical approach via INLA
di: Rustand, Denis, et al.
Pubblicazione: (2026)

Risk-Adjusted learning curve assessment using comparative probability metrics
di: Nadi, Adel Ahmadi, et al.
Pubblicazione: (2025)

Sample Size Calculations for Developing Clinical Prediction Models: Overview and pmsims R package
di: Shamsutdinova, Diana, et al.
Pubblicazione: (2026)

BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard
di: Axillus, Sophia, et al.
Pubblicazione: (2024)

crumble: A comprehensive framework for modern causal mediation analysis with intermediate confounding
di: Liu, Richard, et al.
Pubblicazione: (2026)

Addressing errors in multiple variables using generalized raking and cumulative probability models
di: Kawaguchi, Eric S., et al.
Pubblicazione: (2026)

Simulation-based Bayesian predictive probability of success for interim monitoring of clinical trials with competing event data: two case studies
di: Micoli, Chiara, et al.
Pubblicazione: (2024)

Toward a practical handbook for choosing among causal inference methods in non-randomized studies with binary outcomes: A simulation study for applied researchers
di: Aurensanz-Crespo, Adrián, et al.
Pubblicazione: (2026)

Direct covariance matrix estimation with compositional data
di: Molstad, Aaron J., et al.
Pubblicazione: (2022)

Comparing two spatial variables with the probability of agreement
di: Acosta, Jonathan, et al.
Pubblicazione: (2022)

New stochastic highway capacity estimation method and why product limit method is unsuitable
di: Mikolasek, Igor
Pubblicazione: (2020)

How to rank imputation methods?
di: Näf, Jeffrey, et al.
Pubblicazione: (2025)

Robust multiple method comparison and transformation
di: Dufey, Florian
Pubblicazione: (2022)

Adaptive Penalized Likelihood method for Markov Chains
di: Zhou, Yining, et al.
Pubblicazione: (2024)

R-Estimation with Right-Censored Data
di: Satten, Glen A., et al.
Pubblicazione: (2026)

Modelling non-stationarity in asymptotically independent extremes
di: Murphy-Barltrop, C. J. R., et al.
Pubblicazione: (2022)