Longitudinal Data

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

We show our model generates high accurate forecasts up to seven days ahead for COVID-19 reported cases.

Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak

Describes the statistical package lcc using three real examples.

Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak

Athlete performance evaluation based on novel methodology using principal components and multilevel models

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.

We proposed an R package to estimate the longitudinal concordance correlation (LCC)

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