Title: Weaning Age Reconstruction with Nitrogen isotope analysis
Description: This package estimates precise weaning ages for a given
skeletal population by analyzing the stable nitrogen isotope
ratios of them.  Bone collagen turnover rates estimated anew
and the approximate Bayesian computation (ABC) were adopted in

Description: This estimates precise weaning ages
by analyzing the stable nitrogen isotope ratios of them.
Bone collagen turnover rates estimated anew and
the approximate Bayesian computation (ABC)

Title: Weaning Age Reconstruction with Nitrogen Isotope Analysis
Imports: graphics, grDevices, MASS, stats

Description: The wavelet-based variance transformation method is used for system modelling and prediction. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Imports: waveslim, stats, tidyr, ggplot2, sp
Suggests: zoo, FNN, readr, knitr, cowplot, bookdown, rmarkdown, SPEI,
NPRED, fracdiff, synthesis, kableExtra, fitdistrplus, testthat

Description: The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Suggests: zoo, FNN, readr, knitr, cowplot, gridGraphics, bookdown,
rmarkdown, SPEI, NPRED, synthesis, kableExtra, fitdistrplus,

Imports: waveslim, stats, tidyr, ggplot2, sp, rlang (>= 1.0.0)

Title: Weighted Cumulative Exposure Models
Author: Marie-Pierre Sylvestre, Marie-Eve Beauchamp, Ryan Patrick Kyle, Michal Abrahamowicz
Description: A flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.