Compute Deviation and Correspondence Between Spatial Paths (pathmapping)
Functions to compute and display the area-based deviation between spatial paths and to compute a mapping based on minimizing area and distance-based cost. For details, see: Mueller, S. T., Perelman, B. S., & Veinott, E. S. (2016) <DOI:10.3758/s13428-015-0562-7>.
Local Polynomial Density Estimation and Inference (lpdensity)
Without imposing stringent distributional assumptions or shape restrictions, nonparametric density estimation has been popular in economics and other social sciences for counterfactual analysis, program evaluation, and policy recommendations. This package implements a novel density estimator based on local polynomial regression, documented in Cattaneo, Jansson and Ma (2017): lpdensity() to construct local polynomial based density (and derivatives) estimator; lpbwdensity() to perform data-driven bandwidth selection; and lpdensity.plot() for density plot with robust confidence interval.
A Nonparametric Model for Unfolding Scale Analysis (mudfold)
Nonparametric item response theory model fruitful for the analysis of proximity data.
Bayesian Compressive Sensing Using Laplace Priors (bcs)
A Bayesian method for solving the compressive sensing problem. In particular, this package implements the algorithm ‘Fast Laplace’ found in the paper ‘Bayesian Compressive Sensing Using Laplace Priors’ by Babacan, Molina, Katsaggelos (2010) <DOI:10.1109/TIP.2009.2032894>.