The function runMCMC_btadjust() returns a mcmc.list object which is the output of a 
    Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble' or 'greta' -
	after adjusting burn-in and thinning parameters to meet pre-specified criteria
	in terms of convergence & effective sample size. Used with 'nimble', runMCMC_btadjust()
	allows extra calculations (e.g. information criteria for model comparison and goodness-of-fit
	p-values for model diagnosis).

Lightweight library for rolling windows operations. Package enables
  full control over the window length, window lag and a time indices. With a runner 
  one can apply any R function on a rolling windows. The package eases work with 
  equally and unequally spaced time series.

Package 'runonce' helps automating the saving of long-running code
    to help running the same code multiple times. If you run some long-running 
    code once, it saves the result in a file on disk. Then, if the result 
    already exists, i.e. if the code has already been run and its output has 
    already been saved, it just reads the result from the stored file instead 
    of running the code again.

Provides methods for fast computation of running sample 
    statistics for time series. These include: (1) mean, (2) 
    standard deviation, and (3) variance over a fixed-length window 
    of time-series, (4) correlation, (5) covariance, and (6) 
    Euclidean distance (L2 norm) between short-time pattern and 
    time-series. Implemented methods utilize Convolution Theorem to 
    compute convolutions via Fast Fourier Transform (FFT).

Interface to the 'UNU.RAN' library for Universal Non-Uniform RANdom variate generators. 
	     Thus it allows to build non-uniform random number generators from quite arbitrary
	     distributions. In particular, it provides an algorithm for fast numerical inversion
	     for distribution with given density function.
	     In addition, the package contains densities, distribution functions and quantiles
	     from a couple of distributions.