A toolbox to create and manage metadata files and
    configuration profiles: files used to configure the parameters and
    initial settings for some computer programs.

Generate point data for representing people within spatial data. This
  collects a suite of tools for creating simple dot density maps. Several functions 
  from different spatial packages are standardized to take the same arguments so
  that they can be easily substituted for each other.

Modifies dot plots to have different sizes of dots mimicking violin plots and identifies
  modes or peaks for them based on frequency and kernel density estimates 
  (Rosenblatt, 1956) <doi:10.1214/aoms/1177728190> (Parzen, 1962) <doi:10.1214/aoms/1177704472>.

Provides a `.` object which can be used for unpacking
  assignments. For example, `.[rows, columns] <- dim(cars)` could be used to
  pull the number of rows and number of columns from `dim(cars)` into
  individual variables `rows` and `columns` in a single step.

Create quick and easy dot-and-whisker plots of regression results. It takes as input either (1) a coefficient table in standard form or (2) one (or a list of) fitted model objects (of any type that has methods implemented in the 'parameters' package). It returns 'ggplot' objects that can be further customized using tools from the 'ggplot2' package. The package also includes helper functions for tasks such as rescaling coefficients or relabeling predictor variables. See more methodological discussion of the visualization and data management methods used in this package in Kastellec and Leoni (2007) <doi:10.1017/S1537592707072209> and Gelman (2008) <doi:10.1002/sim.3107>.

Contains the discrete nonparametric survivor function estimation algorithm of De Gruttola and Lagakos for doubly interval-censored failure time data and the discrete nonparametric survivor function estimation algorithm of Sun for doubly interval-censored left-truncated failure time data [Victor De Gruttola  & Stephen W. Lagakos (1989) <doi:10.2307/2532030>] [Jianguo Sun (1995) <doi:10.2307/2533008>].