Implements the algorithm of Remez (1962) for polynomial minimax
    approximation and of Cody et al. (1968) <doi:10.1007/BF02162506> for
    rational minimax approximation.

Shiny web application to run meta-analyses. 
    Essentially a graphical front-end to package 'meta' for R. 
    Can be useful as an educational tool, and for quickly 
    analyzing and sharing meta-analyses. 
    Provides output to quickly fill in GRADE (Grading of 
    Recommendations, Assessment, Development and Evaluations)
    Summary-of-Findings tables. 
    Importantly, it allows further processing of the results 
    inside R, in case more specific analyses are needed.

An R interface to the 'MinIO' Client. The 'MinIO' Client ('mc')
  provides a modern alternative to UNIX commands like 'ls', 'cat', 'cp',
  'mirror', 'diff', 'find' etc. It supports 'filesystems'  and Amazon "S3"
  compatible cloud storage service ("AWS" Signature v2 and v4).
  This package provides convenience functions for installing the 'MinIO'
  client and running any operations, as described in the official 
  documentation, <https://min.io/docs/minio/linux/reference/minio-mc.html?ref=docs-redirect>.
  This package provides a flexible and high-performance alternative to 'aws.s3'.

Density, distribution function, ... hazard function, cumulative hazard function, survival function for survival distributions with piece-wise constant hazards and multiple states.

Randomization schedules are generated in the schemes with k (k>=2) treatment groups and any allocation ratios by minimization algorithms.

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>.

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.