modules - Self Contained Units of Source Code
Provides modules as an organizational unit for source code. Modules enforce to be more rigorous when defining dependencies and have a local search path. They can be used as a sub unit within packages or in scripts.
Last updated
functional-programmingmodule
9.59 score 84 stars 6 dependents 259 scripts 6.6k downloadsdat - Tools for Data Manipulation
An implementation of common higher order functions with syntactic sugar for anonymous function. Provides also a link to 'dplyr' and 'data.table' for common transformations on data frames to work around non standard evaluation by default.
Last updated
6.67 score 15 stars 1 dependents 35 scripts 307 downloadsaoos - Another Object Orientation System
Another implementation of object-orientation in R. It provides syntactic sugar for the S4 class system and two alternative new implementations. One is an experimental version built around S4 and the other one makes it more convenient to work with lists as objects.
Last updated
6.61 score 5 stars 5 dependents 18 scripts 541 downloadssaeSim - Simulation Tools for Small Area Estimation
Tools for the simulation of data in the context of small area estimation. Combine all steps of your simulation - from data generation over drawing samples to model fitting - in one object. This enables easy modification and combination of different scenarios. You can store your results in a folder or start the simulation in parallel.
Last updated
5.69 score 3 stars 36 scripts 260 downloadstemplates - A System for Working with Templates
Provides tools to work with template code and text in R. It aims to provide a simple substitution mechanism for R-expressions inside these templates. Templates can be written in other languages like 'SQL', can simply be represented by characters in R, or can themselves be R-expressions or functions.
Last updated
4.13 score 4 stars 34 scripts 208 downloadssaeRobust - Robust Small Area Estimation
Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.
Last updated
openblascpp
3.86 score 1 stars 2 dependents 12 scripts 499 downloads