{"count":42034,"next":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=744","previous":"https://ports.macports.org/api/v1/autocomplete/port/?format=json&page=742","results":[{"name":"R-simIReff","description":"Stochastic simulation for information retrieval evaluation – effectiveness scores"},{"name":"R-simmer","description":"Discrete-event simulation for R"},{"name":"R-simmer.plot","description":"Plotting methods for R-simmer"},{"name":"R-SimMultiCorrData","description":"Simulation of correlated data with multiple variable types"},{"name":"R-simode","description":"Statistical inference for systems of ordinary differential equations using separable integral-matching"},{"name":"R-simpleCache","description":"Simply caching R objects"},{"name":"R-simpleMH","description":"Simple Metropolis-Hastings MCMC algorithm"},{"name":"R-simplermarkdown","description":"Simple engine for generating reports using R"},{"name":"R-simplextree","description":"Tools for working with general simplicial complexes"},{"name":"R-SimplicialCubature","description":"Integration of functions over simplices"},{"name":"R-simpr","description":"Flexible tidyverse-friendly simulations"},{"name":"R-simsalapar","description":"Tools for simulation studies in parallel"},{"name":"R-simtrial","description":"Clinical Trial Simulation"},{"name":"R-simts","description":"Time series analysis tools"},{"name":"R-SingleCellExperiment","description":"S4 classes for single-cell data"},{"name":"R-singR","description":"Simultaneous non-gaussian component analysis"},{"name":"R-sirt","description":"Supplementary Item Response Theory models"},{"name":"R-SIS","description":"Sure Independence Screening"},{"name":"R-sitar","description":"Super-imposition by translation and rotation growth curve analysis"},{"name":"R-sitmo","description":"Parallel pseudo-random number generator (PPRNG) sitmo headers"},{"name":"R-sjlabelled","description":"Labelled data utility functions"},{"name":"R-sjmisc","description":"Data and variable transformation functions"},{"name":"R-sjPlot","description":"Data visualization for statistics in social science"},{"name":"R-sjstats","description":"Collection of convenient functions for common statistical computations"},{"name":"R-sjtable2df","description":"Convert sjPlot HTML tables to R-data.frame"},{"name":"R-skellam","description":"Densities and sampling for the Skellam distribution"},{"name":"R-SkewHyperbolic","description":"Skew hyperbolic Student t distribution"},{"name":"R-skewlmm","description":"Scale mixture of skew-normal linear mixed models"},{"name":"R-skewMLRM","description":"Estimation for scale-shape mixtures of skew-normal distributions"},{"name":"R-skewt","description":"Skewed Student-t Distribution"},{"name":"R-skimr","description":"Compact and flexible summaries of data"},{"name":"R-skmeans","description":"Spherical k-means clustering"},{"name":"R-SKNN","description":"Super K-Nearest Neighbor (SKNN) classification algorithm"},{"name":"R-sl3","description":"Pipelines for machine learning and super learning"},{"name":"R-slam","description":"Sparse Lightweight Arrays and Matrices"},{"name":"R-slanter","description":"Slanted matrices and ordered clustering"},{"name":"R-slasso","description":"S-lasso estimator for the function-on-function linear regression"},{"name":"R-sleev","description":"Semi-parametric likelihood estimation with errors in variables"},{"name":"R-Sleuth2","description":"Data-sets from Statistical Sleuth (2nd ed.)"},{"name":"R-Sleuth3","description":"Data-sets from Statistical Sleuth (3rd ed.)"},{"name":"R-slider","description":"Sliding window functions"},{"name":"R-slippymath","description":"Slippy map tile tools"},{"name":"R-slm","description":"Stationary Linear Models"},{"name":"R-sloop","description":"Helpers for OOP in R"},{"name":"R-slp","description":"Discrete prolate spheroidal (slepian) sequence regression smoothers"},{"name":"R-sm","description":"Smoothing methods for non-parametric regression and density estimation"},{"name":"R-smacof","description":"Multi-dimensional scaling"},{"name":"R-SmCCNet","description":"Sparse Multiple Canonical Correlation Network analysis tool"},{"name":"R-smd","description":"Compute standardized mean differences"},{"name":"R-SMM","description":"Simulation and estimation of multi-state discrete-time semi-Markov and Markov models"}]}