**Bayesian Estimation for Normal Heteroscedastic Nonlinear Regression Models** (**bnormnlr**)

Implementation of Bayesian estimation in normal heteroscedastic nonlinear regression Models following Cepeda-Cuervo, (2001)

**Vectorised Tools for URL Handling and Parsing** (**urltools**)

A toolkit for handling URLs that so far includes functions for URL encoding and decoding, parsing, and parameter extraction. All functions are designed to be both fast and entirely vectorised. It is intended to be useful for people dealing with web-related datasets, such as server-side logs, although may be useful for other situations involving large sets of URLs.

**T-distributed Stochastic Neighbor Embedding for R (t-SNE)** (**tsne**)

A “pure R” implementation of the t-SNE algorithm.

**Sparse and Non-Sparse Partial Robust M Regression** (**sprm**)

Robust methods for dimension reduction and regression analysis are implemented that yield estimates with a partial least squares alike interpretability. Partial robust M regression is robust to both vertical outliers and leverage points. Sparse partial robust M regression is a related robust method with sparse coefficient estimate, and therefore with intrinsic variable selection.

**Smoothing For Stream Network Data** (**smnet**)

Fits flexible additive models to data on stream networks, taking account of flow-connectivity of the network. Models are fit using penalised least squares.

**Multinomial Response Models with Structured Penalties** (**MRSP**)

Fits regularized multinomial response models using penalized loglikelihood methods with structured penalty terms.

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