Functions to Explore L-Systems (Lindenmayer Systems)
Lindenmayer or L-systems are parallel rewriting systems which can
be used to simulate biological forms and certain kinds of fractals.
Briefly, in an L-system a series of symbols in a string are replaced
iteratively according to rules to give a more complex string. Eventually,
the symbols are translated into turtle graphics for plotting. Wikipedia has
a very good introduction: en.wikipedia.org/wiki/L-system This package
provides basic functions for exploring L-systems.
c(person("Bryan", "Hanson", role = c("aut", "cre"), email =
"hanson@depauw.edu"))

L-systems or Lindenmayer systems are parallel rewriting systems which can
be used to simulate biological forms and certain kinds of fractals.
Briefly, in an L-system a series of symbols in a string are replaced
iteratively according to rules to give a more complex string. Eventually,
the symbols are translated into turtle graphics for plotting. Wikipedia has
a very good introduction: en.wikipedia.org/wiki/L-system This package
provides basic functions for exploring L-systems.

Saralees Nadarajah & Yuancheng Si, Peihao Wang
Computes the probability density function, the cumulative distribution function, the hazard rate function, the quantile function and random generation for Lindley Power Series distributions, see Nadarajah and Si (2018) <doi:10.1007/s13171-018-0150-x>.

The Lindley Distribution and Its Modifications
Josmar Mazucheli and Larissa B. Fernandes
Implements the probability density function, quantile function,
cumulative distribution function, random number generation and the hazard rate function for
the continuous one-parameter Lindley distribution as well as for 15 of its modifications. Also
is it possible to draw censored random samples, with a desired censoring rate, when the event
times are any continuous lifetime distribution supported by R.
R (>= 3.0.2), actuar, LambertW, VGAM, zipfR

Josmar Mazucheli, Larissa B. Fernandes and Ricardo P. de Oliveira
Computes  the  probability density,  the  cumulative  distribution, the quantile and
the hazard rate functions and generates random deviates from the discrete and continuous
Lindley  distribution  as  well  as  for 19 of  its  modifications. It  also  generates censored
random deviates from any probability  distribution available in R.