• lpdensity

  • Referenced in 2 articles [sw37333]
  • Estimation and Inference. Without imposing stringent distributional assumptions or shape restrictions, nonparametric estimation has been...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • package for phylodynamic simulation and inference. We introduce phylodyn, an R package for phylodynamic analysis ... genealogies. The package main functionality is Bayesian nonparametric estimation of effective population size fluctuations over ... nested Laplace approximation-based approach for phylodynamic inference that have been developed in recent years...
  • rvinecopulib

  • Referenced in 6 articles [sw31346]
  • popular ’VineCopula’ package, in particular inference algorithms for both vine copula and bivariate copula models ... improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability...
  • double.truncation

  • Referenced in 2 articles [sw29637]
  • based inference methods with doubly-truncated data are developed under various models. Nonparametric models...
  • bpbounds

  • Referenced in 2 articles [sw37356]
  • Nonparametric bounds for the causal effect in a binary instrumental-variable model. Instrumental variables ... used to make inferences about causal effects in the presence of unmeasured confounding ... American Statistical Association 92: 1172–1176) derived nonparametric bounds for the intervention probabilities...
  • FamEvent

  • Referenced in 1 article [sw38306]
  • model or nonparametrically from the data. The Expectation and Maximization algorithm can infer missing genotypes...
  • ElliptCopulas

  • Referenced in 1 article [sw42215]
  • Inference of Elliptical Distributions and Copulas. Provides functions for the simulation and the nonparametric estimation...
  • IMIFA

  • Referenced in 3 articles [sw20290]
  • arxiv.org/abs/1701.07010”>arXiv:1701.07010>. The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance ... options for plotting results and conducting posterior inference on parameters of interest...
  • cpi

  • Referenced in 1 article [sw41086]
  • criteria for the CPI and develop statistical inference procedures for evaluating its magnitude, significance ... alternative variable importance measures and other nonparametric tests of conditional independence on a diverse array ... synthetic datasets. Simulations confirm that our inference procedures successfully control Type I error with competitive...
  • GLFM

  • Referenced in 1 article [sw35679]
  • this paper, we introduce a general Bayesian nonparametric latent feature allocation model suitable for heterogeneous ... models, which enables us to develop an inference algorithm that presents linear complexity with respect ... attributes per MCMC iteration. Second, the Bayesian nonparametric component allows us to place a prior...
  • uclust

  • Referenced in 1 article [sw41750]
  • Inference with U-Statistics. Clustering and classification inference for high dimension low sample size (HDLSS ... statistics. The package contains implementations of nonparametric statistical tests for sample homogeneity, group separation, clustering...
  • Multitaper.jl

  • Referenced in 1 article [sw35995]
  • language. Spectral analysis is widely used to infer physical mechanisms for underlying process dynamics from ... time series. The multitaper method is a nonparametric technique for estimating the power spectrum...
  • binsreg

  • Referenced in 1 article [sw37335]
  • binscatter estimation and robust (pointwise and uniform) inference of regression functions and derivatives thereof, with ... procedures for parametric functional forms of and nonparametric shape restrictions on the regression function. binsregselect...
  • TPmsm

  • Referenced in 4 articles [sw22603]
  • estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous ... these estimation problems. Estimation and statistical inference for transition probabilities can be performed using TPmsm...
  • OpenPose

  • Referenced in 6 articles [sw39256]
  • image. The proposed method uses a nonparametric representation, which we refer to as Part Affinity ... combined detector not only reduces the inference time compared to running them sequentially, but also...
  • eco

  • Referenced in 1 article [sw26436]
  • /jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method ... package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood...
  • rdbwselect

  • Referenced in 3 articles [sw37435]
  • commands to conduct robust data- driven statistical inference in regression-discontinuity (RD) designs. First ... designs. This command also implements other conventional nonparametric RD treatment-effect point estimators and confi...
  • ParticleMDI

  • Referenced in 1 article [sw35255]
  • cancer subtype identification. We present a novel nonparametric Bayesian approach for performing cluster analysis ... approach uses a particle Gibbs sampler for inference in which cluster allocations are jointly updated...
  • signrankex

  • Referenced in 1 article [sw37450]
  • sample comparisons of the median. Nonparametric tests are often used in clinical trials, in which ... such situations, researchers are accustomed to making inferences by using exact statistics. The ranksum...
  • orderalpha

  • Referenced in 1 article [sw37465]
  • possibility frontier. Although these methods are purely nonparametric too, sensitivity to outliers is substantially reduced ... allows for several options, such as statistical inference based on subsampling bootstrap. In addition...