ReplicationSuccess - Design and Analysis of Replication Studies

Provides utilities for the design and analysis of replication studies. Features both traditional methods based on statistical significance and more recent methods such as the sceptical p-value; Held L. (2020) <doi:10.1111/rssa.12493>, Held et al. (2022) <doi:10.1214/21-AOAS1502>, Micheloud et al. (2023) <doi:10.1111/stan.12312>. Also provides related methods including the harmonic mean chi-squared test; Held, L. (2020) <doi:10.1111/rssc.12410>, and intrinsic credibility; Held, L. (2019) <doi:10.1098/rsos.181534>. Contains datasets from five large-scale replication projects.

Last updated 1 months ago

5.35 score 1 stars 37 scripts 421 downloads

BayesRepDesign - Bayesian Design of Replication Studies

Provides functionality for determining the sample size of replication studies using Bayesian design approaches in the normal-normal hierarchical model (Pawel et al., 2023) <doi:10.1037/met0000604>.

Last updated 1 years ago

3.18 score 3 stars 4 scripts 176 downloads

ppRep - Analysis of Replication Studies using Power Priors

Provides functionality for Bayesian analysis of replication studies using power prior approaches (Pawel et al., 2023) <doi:10.1007/s11749-023-00888-5>.

Last updated 11 months ago

2.70 score 1 stars 3 scripts 134 downloads

BayesRep - Bayesian Analysis of Replication Studies

Provides tools for the analysis of replication studies using Bayes factors (Pawel and Held, 2022) <doi:10.1111/rssb.12491>.

Last updated 1 years ago

2.70 score 5 scripts 231 downloads

ciCalibrate - Calibration of Confidence Intervals to Support Intervals

Provides functionality for computing support intervals for univariate parameters based on confidence intervals or parameter estimates with standard errors (Pawel et al., 2023) <doi:10.1080/00031305.2023.2216239>.

Last updated 1 years ago

2.70 score 1 stars 3 scripts 144 downloads

bfpwr - Power and Sample Size Calculations for Bayes Factor Analysis

Implements z-test, t-test, and normal moment prior Bayes factors based on summary statistics, along with functionality to perform corresponding power and sample size calculations as described in Pawel and Held (2024) <doi:10.48550/arXiv.2406.19940>.

Last updated 26 days ago

2.04 score 11 scripts