Longitudinal concordance, Pearson, and accuracy profiles via polynomial mixed-effects models.
Nov 25, 2023

Development of an appropriate parametric state-space formulation for the marginal distribution of standard menstrual cycles for female athletes
Aug 20, 2021

We show our model generates high accurate forecasts up to seven days ahead for COVID-19 reported cases.
Apr 6, 2021
Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak
Nov 12, 2020

Describes the statistical package lcc using three real examples.
Aug 13, 2020
Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak
Jun 1, 2020
Athlete performance evaluation based on novel methodology using principal components and multilevel models
Apr 21, 2020
Abstract: We present the lcc package, available from the Comprehensive R Archive Network (CRAN). The package implements estimation procedures for the longitudinal concordance correlation (LCC), using fixed effects and variance components estimates from linear mixed models. The LCC is a quantity that measures the extent of agreement between two (or more) methods used to evaluate a response variable of interest and is frequently applied in medicine, pharmacology, and agronomy. The main features of the package are the estimation and inference of the extent of agreement using numerical and graphical summaries.
Jun 7, 2019

We proposed an R package to estimate the longitudinal concordance correlation (LCC)
Nov 16, 2018

We proposed a longitudinal concordance correlation (LCC) to estimate agreement over time among methods
Mar 22, 2018