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Version log

Version 1.10.2/1.11.2

  • Added helper functions to compute the exact moments, so that the user can characterise the systematic biases in the diffusion scores

Version 1.10.1/1.11.1

  • Fixed issue in Rcpp code, due to deprecation in arma, info here
  • Updated some warnings and notes from BiocCheck()
  • Updated readme to link to bioconductor and the journal publications

Version 1.3.1

  • Fixed vignette title and citation

Version 1.3.1

  • Fixed vignette title and citation
  • Small changes to documentation
  • Version number not malformed anymore

Version 1.0.0

Overall summary:

  • Five diffusion kernels available, they can be computed from an 'igraph' object.

  • Diffusion implementations divided between 'diffuse_raw' for deterministic scores and 'diffuse_mc' for permutation analysis, which is parallelised. In total, seven diffusion scores are accessible through the 'diffuse' function.

  • Performance evaluation wrapped in the 'perf' function.

  • Helper functions in helpers.R (to plot diffusion scores, to check if a kernel matrix is actually a kernel, to extract largest CC from a graph)

Version 0.103.4

  • Fix bug

Version 0.103.3

  • Fixing warnings in doc

Version 0.103.2

  • Reversed changes in Rcpp

Version 0.103.1

  • Changed defunct latex2 to latex
  • Fixed links in doc files
  • Checks on graph: must be undirected

Version 0.101.1

  • Added CITATION to the manuscript

Version 0.101.0

This version includes the requests from the reviewers

  • Documentation is more complete now, especially in diffuse.
    • Examples on more scores, not only raw
    • Illustration on binary/continuous, differences in unlabelled/negatives
    • Definition of the different scores not only in the vignette, but (briefly) in ?diffuse
    • Description of kernels in ?kernels
    • References to the original publications
  • Added the following functions, along with documentation, examples and unit testing:
    • perf_wilcox: test metrics through Wilcox test
    • diffuse_grid: sweep parameters to compute diffusion scores
    • metric_auc, metric_fun: provide basic performance metrics
  • Switched dependency from Metrics to precrec
  • Added reshape2 as a dependency in Suggests, for its usefulness in cast
  • Changes in main vignette, to comply with former points
  • Small update on the main figure in the vignette

Version 0.99.12

  • Small changes in vignette
  • Pushing to see if bot notices

Version 0.99.11

  • No changes

Version 0.99.10

  • Modified diffuse_mc so that it accepts quantitative inputs (but still should better be sparse)
  • Scores ml and gm now throw an error if fed with quantitative inputs
  • This version will be proposed to Bioconductor

Version 0.99.9

This version addresses the first reviews from Bioconductor

  • Changed the vignette name from yeast.Rnw to diffuStats.Rnw
  • Fixed some references in vignette
  • Remove commented out code lines
  • Remove calls to gc()
  • Remove commented calls to browser()
  • Remove Cpp commented code
  • Vectorised code in diffuse.R (gm method)

Version 0.99.8

  • Fixed check NOTE in vignette

Version 0.99.7

  • Same as 0.99.4

Version 0.99.6

  • Same as 0.99.4

Version 0.99.5

  • Same as 0.99.4

Version 0.99.4

  • Changed the package name to diffuStats
  • More detailed package description in the DESCRIPTION file

Version 0.99.3

  • Same as 0.99.1

Version 0.99.2

  • Same as 0.99.1

Version 0.99.1

  • Fixed eps that was a symlink
  • Main figure now with the right size

Version 0.99.0

  • Changes in both vignettes, using Bioconductor style
  • Submitting to Bioconductor

Version 0.97.0

  • Changes in main vignette
  • Ready to submit to Bioconductor

Version 0.5.5

  • Final adjustments in main vignette
  • Added example to quickstart vignette
  • First internal review version

Version 0.5.4

  • Changes in vignette
  • Temporarily depends on R>=3.2 to build a zip for iPsych

Version 0.5.3

  • Modified main vignette: more proper introduction, more cites
  • Added code chunk to generate the figure in the paper

Version 0.5.2

  • Added basic sanity checking
  • Fixed small bug: ml could be wrongly codified
  • Sanity also checks the variance in the input - useful to detect pathological cases
  • Reduced n.perm in vignettes and examples - they should build faster
  • Added unit testing for sanity checkers

Version 0.5.1

  • Vignette has been added a "proper" introduction
  • Now main vignette is in sweave

Version 0.5.0

  • Fixed devel version numbering x.y.z, y must be odd
  • Added correct indentation, built indentation-fixing function for Rd files
  • Fixed CRAN's NOTE on R 3.4 about the c++ code
  • Added NEWS file

Version 0.4.3

  • Fixed small bug in gm
  • Added unit testing for inputs using kernels

TODO

  • Some more unit testing (helpers...). Aim at 100% coverage
  • Test installation on other systems
  • Sanity check for inputs
  • Optional: one kernel wrapper with abbreviations

Version 0.4.2

  • Added examples to all functions. BiocCheck not complaining anymore!
  • Fixed small bugs

TODO

  • Some more unit testing (helpers...). Aim at 100% coverage
  • Test installation on other systems
  • Sanity check for inputs
  • Optional: one kernel wrapper with abbreviations

Version 0.4.0

  • Added all the kernels and respective helpers, unit testing.
  • diffuse, perf now accept kernels as inputs as well. Also, the default Laplacian kernel is computed using kernel functions

TODO

  • Some more unit testing (helpers...). Aim at 100% coverage
  • Add examples to each function
  • Test installation on other systems
  • Sanity check for inputs
  • Optional: one kernel wrapper with abbreviations

Version 0.2.0

  • Added performance wrapper: perf (and its core perf_eval) Can apply diffusion over a grid of parameters and compute a metric using "target scores". Unit testing written as well.
  • Dropped pROC dependency, added Metrics
  • Helper functions to deal with the format of the files

TODO

  • Some more unit testing (helpers...). Aim at 100% coverage
  • Add kernels
  • Add examples to each function
  • Test installation on other systems
  • Sanity check for inputs

Version 0.0.10

  • Added first 'wrapper': input scores can be given as vector, matrix or list of matrices. Whatever format was given will be returned. Contains unit testing. This simplified vignettes a bit as well.
  • Modified graph_toy to contain examples of input vector and matrix. Updated doc and first vignette.
  • Dense Matrix objects converted to base matrix in diffusion output.

TODO

  • Exhaustive unit testing
  • Add kernels
  • Add examples to each function
  • Test installation on other systems
  • Add wrappers for several scores screening, AUC, CV(?)

Version 0.0.8

  • Added largest_cc helper
  • First version of the yeast vignette. Takes 1:15 to build.

TODO

  • Exhaustive unit testing
  • Add kernels
  • Add examples to each function
  • Test installation on other systems
  • Should we add wrappers? (cross-validation scores, AUC... We can use try to give NA as an AUC value for bad data splits)

Version 0.0.6

  • Fixed bug in ber_s (both matrices are from Matrix)
  • Fixed bug in gm (missed drop = FALSE for the single-column case)
  • Started second vignette with a bio example: yeast ppi. Added suggests.
  • Now using igraphdata, the example is perfect!
  • raw and ber_s will coincide if the tested nodes do not belong to the background

TODO

  • Exhaustive unit testing
  • Add kernels
  • End vignette

Version 0.0.4

  • Added synthetic input generator
  • Fixed a bug in z-score - sums were computed over the raw scores and not the input
  • Changed internal representation of default values for graph generation
  • Added more unit testing (still missing some)
  • Started synthetic example, see data-raw

TODO

  • Exhaustive unit testing
  • Add kernels
  • Add biological example - search for a Bioconductor package with a network in igraph format
  • Add example
  • Investigate: are raw and ber_s the same? They should be similar but not the same

Version 0.0.2

First version of the package. Includes:

  • Synthetic network generation (igraph backend)
  • Diffusion scores: raw, ml, gm, z, mc, ber_s, ber_p
  • Monte carlo trials are in C++ and parallelised
  • Support for diffusion in batchs with different backgrounds
  • Unit testing of the majority of functions
  • Example data
  • Vignette
  • Helper functions to plot colours and shapes

Results of devtools::check(): 1 NOTE (line SystemRequirements: GNU make in DESCRIPTION file)