C’ and ‘Java’ Source Code Generator for Fitted Glm Objects (glm.deploy)
Provides two functions that generate source code implementing the predict function of fitted glm objects. In this version, code can be generated for either ‘C’ or ‘Java’. The idea is to provide a tool for the easy and fast deployment of glm predictive models into production. The source code generated by this package implements two function/methods. One of such functions implements the equivalent to predict(type=’response’), while the second implements predict(type=’link’). Source code is written to disk as a .c or .java file in the specified path. In the case of c, an .h file is also generated.

Bayesian Synthetic Likelihood with Graphical Lasso (BSL)
Bayesian synthetic likelihood (BSL, Price et al. (2018) <doi:10.1080/10618600.2017.1302882>) is an alternative to standard, non-parametric approximate Bayesian computation (ABC). BSL assumes a multivariate normal distribution for the summary statistic likelihood and it is suitable when the distribution of the model summary statistics is sufficiently regular. This package provides a Metropolis Hastings Markov chain Monte Carlo implementation of BSL and BSL with graphical lasso (BSLasso, An et al. (2018) <https://…/> ), which is computationally more efficient when the dimension of the summary statistic is high. Extensions to this package are planned.

ANSI Control Sequence Aware String Functions (fansi)
Counterparts to R string manipulation functions that account for the effects of ANSI text formatting control sequences.

Photometry Tools (ProFound)
Core package containing all the tools for simple and advanced source extraction. This is used to create inputs for ‘ProFit’, or for source detection, extraction and photometry in its own right.

Report Functions to Create HTML and PDF Files (R3port)
Create and combine HTML and PDF reports from within R. Possibility to design tables and listings for reporting and also include R plots.