kicad-doc-ru

Kicad help files (Russian)

This package provides various documentation files for KiCad in Russian, like the EPUB and the PDF files and also the OnLine HTML documentation for:

kicad-doc-zh

Kicad help files (Chinese)

This package provides various documentation files for KiCad in German, like the EPUB and the PDF files and also the OnLine HTML documentation for:

science-biology

Debian Science Biology packages

This metapackage will install Debian Science packages related to Biology. You might also be interested in the field::biology debtag.

kicad-libraries

Virtual package providing common used libraries by kicad

This package contains dependencies on the component libraries (schematics and footprints), and also on the templates that are used in KiCad.

kicad-packages3d

3D models for 3D viewer in KiCad's Pcbnew and Footprint Editor

Pcbnew is a powerful printed circuit board software and part of the KiCad suite. Like Pcbnew the Footprint Editor is also part of KiCad. The 3D models are provided as *.step and *.wrl files and intended to be rendered by the Pcbnew and Footprint 3D viewer or other MCAD software.

r-cran-collapse

GNU R advanced and fast data transformation

A C/C++ based package for advanced data transformation and statistical computing in R that is extremely fast, flexible and parsimonious to code with, class-agnostic and programmer friendly. It is well integrated with base R, 'dplyr' / (grouped) 'tibble', 'data.table', 'plm' (panel-series and data frames), 'sf' data frames, and non-destructively handles other matrix or data frame based classes (such as 'ts', 'xts' / 'zoo', 'timeSeries', 'tsibble', 'tibbletime' etc.) --- Key Features: --- (1) Advanced statistical programming: A full set of fast statistical functions supporting grouped and weighted computations on vectors, matrices and data frames. Fast and programmable grouping, ordering, unique values / rows, factor generation and interactions. Fast and flexible functions for data manipulation and data object conversions. (2) Advanced aggregation: Fast and easy multi-data-type, multi-function, weighted, parallelized and fully customized data aggregation. (3) Advanced transformations: Fast row / column arithmetic, (grouped) replacing and sweeping out of statistics, (grouped, weighted) scaling / standardizing, between (averaging) and (quasi-)within (centering / demeaning) transformations, higher-dimensional centering (i.e. multiple fixed effects transformations), linear prediction / partialling-out, linear model fitting and testing. (4) Advanced time-computations: Fast (sequences of) lags / leads, and (lagged / leaded, iterated, quasi-, log-) differences, (compounded) growth rates, and cumulative sums on (unordered, irregular) time series and panel data. Multivariate auto-, partial- and cross- correlation functions for panel data. Panel data to (ts-)array conversions. (5) List processing: (Recursive) list search / identification, splitting, extraction / subsetting, data-apply, and generalized recursive row-binding / unlisting in 2D. (6) Advanced data exploration: Fast (grouped, weighted, panel- decomposed) summary statistics for complex multilevel / panel data.