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Export Data Frames to Excel 'xlsx' Format
Zero-dependency data frame to xlsx exporter based on 'libxlsxwriter' < https://libxlsxwriter.github.io>. Fast and no Java or Excel required.
Reproducible Data Embedding
Allows caching of raw data directly in R code. This allows R scripts and R Notebooks to be shared and re-run on a machine without access to the original data. Cached data is encoded into an ASCII string that can be pasted into R code. When the code is run, the data is automatically loaded from the cached version if the original data file is unavailable. Works best for small datasets (a few hundred observations).
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, styling and editing worksheets. Through the use of 'Rcpp', read/write times are comparable to the 'xlsx' and 'XLConnect' packages with the added benefit of removing the dependency on Java.
A Simpler Way to Find Your Files
Constructs paths to your project's files. Declare the relative path of a file within your project with 'i_am()'. Use the 'here()' function as a drop-in replacement for 'file.path()', it will always locate the files relative to your project root.
Create, Stow, and Read Data Packages
Data frame, tibble, or tbl objects are converted to data package objects using specific metadata labels (name, version, title, homepage, description). A data package object ('dpkg') can be written to disk as a 'parquet' file or released to a 'GitHub' repository. Data package objects can be read into R from online repositories and downloaded files are cached locally across R sessions.
'Memoisation' of Functions
Cache the results of a function so that when you call it again with the same arguments it returns the previously computed value.
Nonlinear Root Finding, Equilibrium and Steady-State Analysis of Ordinary Differential Equations
Routines to find the root of nonlinear functions, and to perform steady-state and equilibrium analysis of ordinary differential equations (ODE). Includes routines that: (1) generate gradient and jacobian matrices (full and banded), (2) find roots of non-linear equations by the 'Newton-Raphson' method, (3) estimate steady-state conditions of a system of (differential) equations in full, banded or sparse form, using the 'Newton-Raphson' method, or by dynamically running, (4) solve the steady-state conditions for uni-and multicomponent 1-D, 2-D, and 3-D partial differential equations, that have been converted to ordinary differential equations by numerical differencing (using the method-of-lines approach). Includes fortran code.
Download Datasets from the Swiss National Science Foundation (SNF, FNS, SNSF)
Download and read datasets from the Swiss National Science Foundation (SNF, FNS, SNSF; < https://snf.ch>). The package is lightweight and without dependencies. Downloaded data can optionally be cached, to avoid repeated downloads of the same files. There are also utilities for comparing different versions of datasets, i.e. to report added, removed and changed entries.
Download Contact Surveys for Use in Infectious Disease Modelling
Download, cache, and manage social contact survey data from
the social contact data community on Zenodo
(< https://zenodo.org/communities/social_contact_data>) for use in
infectious disease modelling. Provides functions to list available
surveys, download survey files with automatic caching, and retrieve
citations. Contact survey data describe who contacts whom in a population
and are used to parameterise age-structured transmission models, for
example via the 'socialmixr' package. The surveys available include those
from the POLYMOD study (Mossong et al. (2008)
Update and Manipulate Rd Documentation Objects
Functions for manipulation of R documentation objects, including functions reprompt() and ereprompt() for updating 'Rd' documentation for functions, methods and classes; 'Rd' macros for citations and import of references from 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros for evaluating and inserting snippets of 'R' code and the results of its evaluation or creating graphics on the fly; and many functions for manipulation of references and Rd files.