Implements functions for varying coefficient meta-analysis methods. 
  These methods do not assume effect size homogeneity. Subgroup effect size 
  comparisons, general linear effect size contrasts, and linear models of 
  effect sizes based on varying coefficient methods can be used to describe 
  effect size heterogeneity. Varying coefficient meta-analysis methods do not 
  require the unrealistic assumptions of the traditional fixed-effect and 
  random-effects meta-analysis methods. For details see: 
  Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

Fits Gaussian, Binomial, and Negative-Binomial
    varying-coefficient mixture-of-experts models with local-linear estimation,
    explicit label alignment, bandwidth selection, diagnostics, bootstrap
    inference, analytic-style confidence bands, coefficient-specific analytic
    generalized likelihood-ratio test (GLRT) diagnostics with optional
    bootstrap calibration, and local-grid or
    joint-path expectation-maximization fitting engines.

Methods for faster extraction (about 5x faster in a few test cases) of variance-covariance matrices and standard errors from models. Methods in the 'stats' package tend to rely on the summary method, which may waste time computing other summary statistics which are summarily ignored.

Estimating the disparity between two groups based on the extended model of the Peters-Belson (PB) method. Our model is the first work on the longitudinal data, and also can set a varying variable to find the complicated association between other variables and the varying variable. Our work is an extension of the Peters-Belson method which was originally published in Peters (1941)<doi:10.1080/00220671.1941.10881036> and Belson (1956)<doi:10.2307/2985420>.

Method to perform penalized variance component analysis.

Record test suite 'HTTP' requests and replays them during
    future runs. A port of the Ruby gem of the same name
    (<https://github.com/vcr/vcr/>). Works by recording real 'HTTP'
    requests/responses on disk in 'cassettes', and then replaying
    matching responses on subsequent requests.