Title: Ordered Lasso and Time-lag Sparse Regression

Title: Test, Check, Verify, Investigate the Monotonic Properties of
Description: Functions to test/check/verify/investigate the ordering of vectors.
The 'is_[strictly_]*' family of functions test vectors for
'sorted', 'monotonic', 'increasing', 'decreasing' order; 'is_constant'
and 'is_incremental' test for the degree of ordering. `ordering`
provides a numeric indication of ordering -2 (strictly decreasing) to

Description: Order, create and store reports from R.  By defining a
lightweight interface around the inputs and outputs of an
analysis, a lot of the repetitive work for reproducible research
can be automated.  We define a simple format for organising and
describing work that facilitates collaborative reproducible
research and acknowledges that all analyses are run multiple
person("Robert", "Ashton", role = "aut"),
person("Emma", "Russell", role = "aut"),
person("James", "Thompson", role = "aut"),
Imports: DBI, R6, RSQLite, digest, docopt, fs (>= 1.2.7), ids, withr,
Suggests: httr, jsonlite, knitr, mockery, processx, rmarkdown,

Imports: DBI, R6, RSQLite (>= 2.2.4), crayon, digest, docopt, fs (>=

Suggests: httr, jsonlite, knitr, markdown, mockery, processx,

Title: Sampling from Order Statistics of New Families of Distributions
Description: Set of tools to generate samples of order statistics from new families of distributions.
The main references for this package are: Gentle, J. (2009), Computational Statistics, Springer-Verlag
and Naradajah, S. and Rocha, R. (2016), Newdistns: An R Package for New Families of Distributions, Journal of Statistical Software.
The families of distributions are: Marshall Olkin G distributions, exponentiated G distributions, beta G distributions, gamma G distributions, Kumaraswamy G distributions, generalized beta G distributions,
beta extended G distributions, gamma G distributions, gamma uniform G distributions, beta exponential G distributions, Weibull G distributions, log gamma G I distributions, log gamma G II distributions,
exponentiated generalized G distributions, exponentiated Kumaraswamy G distributions, geometric exponential Poisson G distributions, truncated-exponential skew-symmetric G distributions, modi???ed beta G distributions,
and exponentiated exponential Poisson G distributions.