Author: Lu Bai, Scott Bartell, Robin Bliss, and Veronica Vieira
Description: Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (submitted).  Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).
Depends: R (>= 2.10.0), sp, gam, survival

Packaged: 2019-01-22 04:37:05 UTC; scottbartell

Description: Contains functions for mapping odds ratios, hazard ratios, or other effect estimates using individual-level data such as case-control study data, using generalized additive models (GAMs) or Cox models for smoothing with a two-dimensional predictor (e.g., geolocation or exposure to chemical mixtures) while adjusting linearly for confounding variables, using methods described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et al. (2020).  Includes convenient functions for mapping point estimates and confidence intervals, efficient control sampling, and permutation tests for the null hypothesis that the two-dimensional predictor is not associated with the outcome variable (adjusting for confounders).
Packaged: 2022-05-25 21:20:51 UTC; drbartell

Title: Multivariate Analysis of Variance Panel, PERMANOVA and Bayesian
Authors@R: c(person("Maria", "Mendoza-Marcillo", role = c("aut", "cre"),
person("Mauricio", "Rojas-Campuzano", role = c("aut","ctb"),
person("Sergio", "Bauz-Olvera", role = c("aut","ctb"),
Description: It covers approaches to multivariate analysis of variance, PERMANOVA and a Bayesian analysis, presenting an assumption test section together with a decision diagram that will allow selecting the appropriate technique for the analysis. The presentation of results is through an interactive panel, in which you can view automatic conclusions based on the tests, dynamic graphics through 'Highchart', also the package uses 'Stan' for Bayesian analysis.
Imports: methods, DT, MANOVA.RM, shiny, shinydashboardPlus,
shinydashboard, MultBiplotR, broom, car, dplyr, highcharter,
htmltools, nortest, purrr, reshape, shinycssloaders, stringr,
tibble, MVN, heplots, mvnormtest, vegan, waiter, moments, Rcpp
Packaged: 2021-11-12 23:08:37 UTC; javierrojas
Author: Maria Mendoza-Marcillo [aut, cre],