This package is deprecated. Please use 'redatamx' instead.
  Provides an API to work with 'Redatam' (see <https://redatam.org>) 
  databases in both formats: 'RXDB' (new format) and 'DICX' (old format) and running 
  'Redatam' programs written in 'SPC' language. It's a wrapper around 'Redatam' 
  core and provides functions to open/close a database (redatam_open()/redatam_close()), 
  list entities and variables from the database (redatam_entities(), redatam_variables()) 
  and execute a 'SPC' program and gets the results as data frames 
  (redatam_query(), redatam_run()).

Provides UI widget and layout functions for writing Shiny apps
    that work well on small screens.

Performs treatment assignment for (field) experiments considering available, possibly multivariate and continuous, information (covariates, observable characteristics), that is: forms balanced treatment groups, according to the minMSE-method as proposed by Schneider and Schlather (2017) <DOI:10419/161931>.

Tools for calculating I-Scores, a simple way to measure how successful minor political parties are at influencing the major parties in their environment. I-Scores are designed to be a more comprehensive measurement of minor party success than vote share and legislative seats won, the current standard measurements, which do not reflect the strategies that most minor parties employ. The procedure leverages the Manifesto Project's NLP model to identify the issue areas that sentences discuss, see Burst et al. (2024) <doi:10.25522/manifesto.manifestoberta.56topics.context.2024.1.1>, and the Wordfish algorithm to estimate the relative positions that platforms take on those issue areas, see Slapin and Proksch (2008) <doi:10.1111/j.1540-5907.2008.00338.x>.

The nls.lm function provides an R interface to lmder and lmdif from the MINPACK library, for solving nonlinear least-squares problems by a modification of the Levenberg-Marquardt algorithm, with support for lower and upper parameter bounds.  The implementation can be used via nls-like calls using the nlsLM function.