{"count":42450,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=711","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=709","results":[{"name":"R-l0ara","description":"Sparse generalized linear model with l0 approximation for feature selection"},{"name":"R-l1ball","description":"L1-ball prior for sparse regression"},{"name":"R-L1centrality","description":"Graph/network analysis based on l1 centrality"},{"name":"R-L1pack","description":"Routines for L1 estimation"},{"name":"R-l2boost","description":"Friedman’s boosting algorithm"},{"name":"R-L2hdchange","description":"L2 inference for change points in high-dimensional time series"},{"name":"R-labdsv","description":"Ordination and multivariate analysis for ecology"},{"name":"R-label.switching","description":"Relabelling MCMC outputs of mixture models"},{"name":"R-labeling","description":"Axis labelling"},{"name":"R-labelled","description":"Manipulating labelled data"},{"name":"R-labelr","description":"Label data frames, variables and values"},{"name":"R-labelVector","description":"Label attributes for atomic vectors"},{"name":"R-LAD","description":"Derive leaf angle distribution (LAD) from measured leaf inclination angles"},{"name":"R-laeken","description":"Estimation of indicators on social exclusion and poverty"},{"name":"R-LaF","description":"Fast access to Large ASCII Files"},{"name":"R-lagged","description":"Classes and methods for lagged objects"},{"name":"R-laGP","description":"Local approximate gaussian process regression"},{"name":"R-Lahman","description":"Sean Lahman baseball database"},{"name":"R-LaMa","description":"Fast numerical maximum likelihood estimation for latent Markov models"},{"name":"R-lambda.r","description":"Modeling data with functional programming"},{"name":"R-LambertW","description":"Probabilistic models to analyze and gaussianize heavy-tailed, skewed data"},{"name":"R-lamW","description":"Lambert W-function"},{"name":"R-languageR","description":"Analyzing Linguistic Data: A Practical Introduction to Statistics"},{"name":"R-LaplacesDemon","description":"Complete environment for Bayesian inference"},{"name":"R-lars","description":"Least angle regression, lasso and forward stagewise"},{"name":"R-lassoshooting","description":"L1-regularized regression (lasso) solver using the cyclic coordinate descent algorithm"},{"name":"R-latentnet","description":"Latent position and cluster models for statistical networks"},{"name":"R-later","description":"The fastest delimited reader for R"},{"name":"R-latex2exp","description":"Use LaTeX Expressions in plots"},{"name":"R-lattice","description":"Trellis graphics for R"},{"name":"R-latticeExtra","description":"Extra graphical utilities based on lattice"},{"name":"R-LatticeKrig","description":"Multi-resolution Kriging based on Markov random fields"},{"name":"R-lava","description":"Latent Variable models"},{"name":"R-lavaan","description":"Latent variable analysis"},{"name":"R-lavaan.survey","description":"Complex survey structural equation modelling"},{"name":"R-lavaanExtra","description":"Convenience functions for R-lavaan"},{"name":"R-lavaanPlot","description":"Plots path diagrams from models in R-lavaan using R-DiagrammeR"},{"name":"R-lavacreg","description":"Latent variable count regression models"},{"name":"R-lavaSearch2","description":"Tools for model specification in the latent-variable framework"},{"name":"R-lawstat","description":"Tools for biostatistics, public policy, and law"},{"name":"R-lazyarray","description":"Persistent large data array with lazy-loading on demand"},{"name":"R-lazyeval","description":"Lazy (Non-Standard) Evaluation"},{"name":"R-lazyNumbers","description":"Exact floating-point arithmetic"},{"name":"R-lbfgs","description":"Limited-memory BFGS optimization"},{"name":"R-lbfgsb3c","description":"Solving and optimizing large-scale non-linear systems"},{"name":"R-LBI","description":"Likelihood-Based Inference"},{"name":"R-lcmm","description":"Extended mixed models using latent classes and latent processes"},{"name":"R-lcopula","description":"Liouville Copulas"},{"name":"R-lcra","description":"Bayesian joint latent class and regression models"},{"name":"R-lctools","description":"Local correlation, spatial inequalities, geographically-weighted regression and other tools"}]}