Statistical methods for retrospectively detecting changes
             in location and/or dispersion of univariate and multivariate 
             variables. Data values are assumed to be independent, can be 
             individual (one observation at each instant of time) or subgrouped 
             (more than one observation at each instant of time). 
             Control limits are computed, often using a permutation approach, 
             so that a prescribed false alarm probability is guaranteed  
             without making any parametric assumptions on the stable 
             (in-control) distribution. See G. Capizzi and G. Masarotto (2018) 
             <doi:10.1007/978-3-319-75295-2_1> for an introduction to the package.

Implementing Function-on-Scalar Regression model in which the response function is dichotomized and observed sparsely. This package provides smooth estimations of functional regression coefficients and principal components for the dichotomized functional response regression (dfrr) model.

Secant acceleration applied to derivative-free Spectral
  Residual Methods for solving large-scale nonlinear systems of
  equations. The main reference follows: E. G. Birgin and
  J. M. Martinez (2022) <doi:10.1137/20M1388024>.

Decomposing value added growth into explanatory factors.
    A cost constrained value added function is defined to specify the 
    production frontier. Industry estimates can also be aggregated using 
    a weighted average approach.
    Details about the methodology and data can be found in Diewert and Fox (2018)
    <doi:10.1093/oxfordhb/9780190226718.013.19>
    and Zeng, Parsons, Diewert and Fox (2018)
    <https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

Performs Bayesian model averaging for capture-recapture. This includes code to stratify records, check the strata for suitable overlap to be used for capture-recapture, and some functions to plot the estimated population size.