INTRIGUE - Quantify and Control Reproducibility in High-Throughput Experiments
Estimate the proportions of the null and the reproducibility and non-reproducibility of the signal group for the input data set. The Bayes factor calculation and EM (Expectation Maximization) algorithm procedures are also included.
Last updated 4 years ago
1.64 score 22 dependenciessnSMART - Small N Sequential Multiple Assignment Randomized Trial Methods
Consolidated data simulation, sample size calculation and analysis functions for several snSMART (small sample sequential, multiple assignment, randomized trial) designs under one library. See Wei, B., Braun, T.M., Tamura, R.N. and Kidwell, K.M. "A Bayesian analysis of small n sequential multiple assignment randomized trials (snSMARTs)." (2018) Statistics in medicine, 37(26), pp.3723-3732 <doi:10.1002/sim.7900>.
Last updated 6 days ago
bayesian-analysisclinical-trialsrare-diseasesmall-sample
1 stars 1.47 score 54 dependenciesPPMR - Probabilistic Two Sample Mendelian Randomization
Efficient statistical inference of two-sample MR (Mendelian Randomization) analysis. It can account for the correlated instruments and the horizontal pleiotropy, and can provide the accurate estimates of both causal effect and horizontal pleiotropy effect as well as the two corresponding p-values. There are two main functions in the 'PPMR' package. One is PMR_individual() for individual level data, the other is PMR_summary() for summary data.
Last updated 5 years ago
2 stars 1.09 score 2 dependenciesmedScan - Large Scale Single Mediator Hypothesis Testing
A collection of methods for large scale single mediator hypothesis testing. The six included methods for testing the mediation effect are Sobel's test, Max P test, joint significance test under the composite null hypothesis, high dimensional mediation testing, divide-aggregate composite null test, and Sobel's test under the composite null hypothesis. Du et al (2023) <doi:10.1002/gepi.22510>.
Last updated 7 months ago
0.84 score 39 dependenciesFEprovideR - Fixed Effects Logistic Model with High-Dimensional Parameters
A structured profile likelihood algorithm for the logistic fixed effects model and an approximate expectation maximization (EM) algorithm for the logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and Li, Y. (2013) <doi:10.1007/s10985-013-9264-6>.
Last updated 5 years ago
1 stars 0.83 score 29 dependenciesSynDI - Synthetic Data Integration
Regression inference for multiple populations by integrating summary-level data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2021) A synthetic data integration framework to leverage external summary-level information from heterogeneous populations <arXiv:2106.06835>.
Last updated 2 years ago
1 stars 0.73 score 73 dependenciesmessi - Mediation Analysis with External Summary-Level Information on Total Effect
Fits the hard constraint, soft constraint, and unconstrained models in Boss et al. (2023) for mediation analyses with external summary-level information on the total effect.
Last updated 1 years ago
0.73 score 33 dependencieshlt - Higher-Order Item Response Theory
Higher-order latent trait theory (item response theory). We implement the generalized partial credit model with a second-order latent trait structure. Latent regression can be done on the second-order latent trait. For a pre-print of the methods, see, "Latent Regression in Higher-Order Item Response Theory with the R Package hlt" <https://mkleinsa.github.io/doc/hlt_proof_draft_brmic.pdf>.
Last updated 2 years ago
0.00 score 45 dependencies