Depends: R (>= 2.15.0), rJava, coda, ggplot2, InterVA5

Author: Zehang Richard Li, Tyler McCormick, Sam Clark
Maintainer: Zehang Richard Li <lizehang@gmail.com>

Depends: R (>= 3.5.0), rJava, coda, ggplot2, InterVA5

Description: Computes individual causes of death and population cause-specific mortality fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016) <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal autopsy (VA) interviews, in a format similar to the input of the widely used 'InterVA' method. This package provides general model fitting and customization for 'InSilicoVA' algorithm and basic graphical visualization of the output.

Title: Incremental Calculation of Dynamic Time Warping
Description: Implements incremental calculation of the DTW ( Dynamic Time Warping) distance of two vectors, which is specifically useful for life data streams. Further the calculation of the global cost matrix is implemented in C++ to be faster. The Sakoe Chiba band is also implemented. The calculation of DTW is less functional then the one of dtw(), however much faster. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>.
Packaged: 2017-07-03 10:08:45 UTC; LeodolterM

Packaged: 2017-08-04 10:41:07 UTC; LeodolterM

Description: Implements incremental calculation of the DTW (Dynamic Time Warping) distance of two vectors, which is specifically useful for life data streams. Further the calculation of the global cost matrix is implemented in C++ to be faster. The Sakoe Chiba band is also implemented. The calculation of DTW is less functional then the one of dtw(), however much faster. For details about DTW see the original paper "Dynamic programming algorithm optimization for spoken word recognition" by Sakoe and Chiba (1978) <DOI:10.1109/TASSP.1978.1163055>. Any feedback is highly appreciated!
Imports: Rcpp (>= 0.12.8), ggplot2, scales
Packaged: 2017-08-23 12:25:52 UTC; LeodolterM
Suggests: knitr, dtw, microbenchmark, rmarkdown, gridExtra