Summarize physical activity (Mets, Proportion, Total, etc.) in the given time period from accelerometer data. This package has been tested by data exported from 'activPAL'. 'activPAL' is a wearable device for medical and healthcare research application developed by PAL Technologies, Glasgow, Scotland. A simulated accelerometer sample dataset is provided in this package. See https://github.com/YukunZhang/PAactivPAL for more information.

Prediction and Accuracy Measures for Nonlinear Models and for
Right-Censored Time-to-Event Data
We propose a pair of summary measures for the predictive power of a prediction
function based on a regression model. The regression model can be linear
or nonlinear, parametric, semi-parametric, or nonparametric, and correctly
specified or mis-specified. The first measure, R-squared, is an extension of
the classical R-squared statistic for a linear model, quantifying the prediction
function's ability to capture the variability of the response. The second
measure, L-squared, quantifies the prediction function's bias for predicting the
mean regression function. When used together, they give a complete summary of
the predictive power of a prediction function. Please refer to Gang Li and Xiaoyan Wang (2016) <arXiv:1611.03063> for more details.

Assessing the Partial Association Between Ordinal Variables
An implementation of the unified framework for assessing partial association
between ordinal variables after adjusting for a set of covariates (Dungang Liu, Shaobo
Li, Yan Yu and Irini Moustaki (2020), accepted by the Journal of the American
Statistical Association). This package provides a set of tools to quantify, visualize,
and test partial associations between multiple ordinal variables. It can produce a number
of $phi$ measures, partial regression plots, 3-D plots, and $p$-values for testing
$H_0: phi=0$ or $H_0: phi <= delta$.
c(person(given = "Xiaorui (Jeremy)", family = "Zhu",
role = c("aut", "cre"),
email = "zhuxiaorui1989@gmail.com"),
person(given = "Shaobo", family = "Li",
role = c("aut"),
email = "shaobo.li@ku.edu"),
person(given = "Dungang", family = "Liu",
role = c("ctb", "aut"),
email = "dungang.liu@uc.edu"),
person(given = "Yuejie ", family = "Chen",
role = c("ctb"),
email = "chen4y9@mail.uc.edu"))
VGAM, copBasic, pcaPP (>= 1.9-73), methods, foreach (>=
1.4.8), MASS (>= 7.3-51.0), GGally, gridExtra, utils (>=
3.5.3), progress (>= 1.2.0), plotly, copula
doParallel (>= 1.0.11), tidyverse, goftest, faraway, ordinal,
rms, testthat, mgcv, PResiduals, knitr, rmarkdown, truncdist
Xiaorui (Jeremy) Zhu [aut, cre],
Shaobo Li [aut],
Dungang Liu [ctb, aut],
Yuejie Chen [ctb]