**Animate Paths** (**anipaths**)

Animation of observed trajectories using spline-based interpolation (see for example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M. (2016), <doi:10.1111/2041-210X.12465> ‘A functional model for characterizing long-distance movement behaviour’. Methods Ecol Evol). Intended to be used exploratory data analysis, and perhaps for preparation of presentations.

**Tidyverse-Compatible Bootstrapping** (**tidyboot**)

Compute arbitrary non-parametric bootstrap statistics on data in tidy data frames.

**Simulate Longitudinal Dataset with Time-Varying Correlated Covariates** (**SimTimeVar**)

Flexibly simulates a dataset with time-varying covariates with user-specified exchangeable correlation structures across and within clusters. Covariates can be normal or binary and can be static within a cluster or time-varying. Time-varying normal variables can optionally have linear trajectories within each cluster. See ?make_one_dataset for the main wrapper function. See Montez-Rath et al. <arXiv:1709.10074> for methodological details.

**Automatic Statistical Identification in Complex Spectra** (**ASICS**)

With a set of pure metabolite spectra, ASICS quantifies metabolites concentration in a complex spectrum. The identification of metabolites is performed by fitting a mixture model to the spectra of the library with a sparse penalty. The method and its statistical properties are described in Tardivel et al. (2017) <doi:10.1007/s11306-017-1244-5>.

**Incremental Graphlet Counting for Network Optimisation** (**incgraph**)

An efficient and incremental approach for calculating the differences in orbit counts when performing single edge modifications in a network. Calculating the differences in orbit counts is much more efficient than recalculating all orbit counts from scratch for each time point.

**Read/Write Files in Key-Value-Hierarchy Format** (**kvh**)

The format KVH is a lightweight format that can be read/written both by humans and machines. It can be useful in situations where XML or alike formats seem to be an overkill. We provide an ability to parse KVH files in R pretty fast due to ‘Rcpp’ use.

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