Modelling menstrual cycle length in athletes using state-space models
Development of an appropriate parametric state-space formulation for the marginal distribution of standard menstrual cycles for female athletes
Aug 20, 2021
Global Short-Term Forecasting of Covid-19 Cases
We show our model generates high accurate forecasts up to seven days ahead for COVID-19 reported cases.
Apr 6, 2021
Global Short-Term Forecasting of Covid-19 Cases
Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak
Nov 12, 2020
lcc: an R package to estimate the concordance correlation, Pearson correlation, and accuracy over time
Describes the statistical package lcc using three real examples.
Aug 13, 2020
Global Short-Term Forecasting of Covid-19 Cases
Accurate short-term forecasting is thus vital to support country-level policy making during COVID-19 outbreak
Jun 1, 2020
Estimating NBA athlete performance using multilevel models
Athlete performance evaluation based on novel methodology using principal components and multilevel models
Apr 21, 2020
The longitudinal concordance correlation
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.
Jun 7, 2019
lcc: Longitudinal Concordance Correlation
We proposed an R package to estimate the longitudinal concordance correlation (LCC)
Nov 16, 2018
Longitudinal concordance correlation function based on variance components: an application in fruit color analysis
We proposed a longitudinal concordance correlation (LCC) to estimate agreement over time among methods
Mar 22, 2018