kyotil - Utility Functions for Statistical Analysis Report Generation and Monte Carlo Studies
Helper functions for creating formatted summary of regression models, writing publication-ready tables to latex files, and running Monte Carlo experiments.
Last updated
openblas
7.85 score 9 dependents 227 scripts 1.3k downloadschngpt - Estimation and Hypothesis Testing for Threshold Regression
Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) <DOI:10.1186/s12859-017-1863-x> and the package vignette.
Last updated
openblascpp
5.49 score 1 stars 3 dependents 65 scripts 1.1k downloadsmarginalizedRisk - Estimating Marginalized Risk
Estimates risk as a function of a marker by integrating over other covariates in a conditional risk model.
Last updated
3.69 score 49 scripts 647 downloadsmdw - Maximum Diversity Weighting
Dimension-reduction methods aim at defining a score that maximizes signal diversity. Three approaches, tree weight, maximum entropy weights, and maximum variance weights are provided. These methods are described in He and Fong (2019) <DOI:10.1002/sim.8212>.
Last updated
3.41 score 26 scripts 193 downloadscopcor - Correlates of Protection and Correlates of Risk Functions
Correlates of protection (CoP) and correlates of risk (CoR) study the immune biomarkers associated with an infectious disease outcome, e.g. COVID or HIV-1 infection. This package contains shared functions for analyzing CoP and CoR, including bootstrapping procedures, competing risk estimation, and bootstrapping marginalized risks.
Last updated
2.93 score 17 scripts 193 downloadsrobustrank - Robust Rank-Based Tests
Implements two-sample tests for paired data with missing values (Fong, Huang, Lemos and McElrath 2018, Biostatics, <doi:10.1093/biostatistics/kxx039>) and modified Wilcoxon-Mann-Whitney two sample location test, also known as the Fligner-Policello test.
Last updated
1.00 score 9 scripts 234 downloadskrm - Kernel Based Regression Models
Implements several methods for testing the variance component parameter in regression models that contain kernel-based random effects, including a maximum of adjusted scores test. Several kernels are supported, including a profile hidden Markov model mutual information kernel for protein sequence. This package is described in Fong et al. (2015) <DOI:10.1093/biostatistics/kxu056>.
Last updated
cpp
1.00 score 1 stars 5 scripts 194 downloads