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r-nnlasso
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Estimates of coefficients of lasso penalized linear regression and generalized linear models subject to non-negativity constraints on the parameters using multiplicative iterative algorithm. Entire regularization path for a sequence of lambda values can be obtained. Functions are available for creating plots of regularization path, cross validation and estimating coefficients at a given lambda value. There is also provision for obtaining standard error of coefficient estimates.
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2025-04-22 |
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r-nna
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Calculates spatial pattern analysis using a T-square sample procedure. This method is based on two measures "x" and "y". "x" - Distance from the random point to the nearest individual. "y" - Distance from individual to its nearest neighbor. This is a methodology commonly used in phytosociology or marine benthos ecology to analyze the species' distribution (random, uniform or clumped patterns). Ludwig & Reynolds (1988, ISBN:0471832359).
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2025-04-22 |
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r-nmw
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This shows how NONMEM(R) <http://www.iconplc.com/innovation/nonmem/> software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained.
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2025-04-22 |
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r-nmof
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Functions, examples and data from the book "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and E. Schumann (2011), ISBN 978-0123756626. The package provides implementations of several optimisation heuristics, such as Differential Evolution, Genetic Algorithms and Threshold Accepting. There are also functions for the valuation of financial instruments, such as bonds and options, and functions that help with stochastic simulations.
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2025-04-22 |
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r-nmi
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Calculates the normalized mutual information (NMI) of two community structures in network analysis.
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2025-04-22 |
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r-nmfn
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Non-negative Matrix Factorization
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2025-04-22 |
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r-nmainla
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Performs network meta-analysis using integrated nested Laplace approximations ('INLA'). Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis data. 'INLA' package can be obtained from <http://www.r-inla.org>. We recommend the testing version.
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2025-04-22 |
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r-nlwaldtest
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Wald Test for nonlinear restrictions on model parameters and confidence intervals for nonlinear functions of parameters using delta-method. Applicable after ANY model, provided parameters estimates and their covariance matrix are available.
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2025-04-22 |
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r-nltt
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Provides functions to calculate the normalised Lineage-Through- Time (nLTT) statistic, given two phylogenetic trees. The nLTT statistic measures the difference between two Lineage-Through-Time curves, where each curve is normalised both in time and in number of lineages.
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2025-04-22 |
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r-nlsylinks
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Utilities and kinship information for behavior genetics and developmental research using the National Longitudinal Survey of Youth (NLSY; <http://www.bls.gov/nls/>).
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2025-04-22 |
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r-nlstools
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Several tools for assessing the quality of fit of a gaussian nonlinear model are provided.
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2025-04-22 |
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r-nlsrk
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Performs univariate or multivariate computation of a single ODE or of a set of ODE (ordinary differential equations).
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2025-04-22 |
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r-nlsr
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Provides tools for working with nonlinear least squares problems. It is intended to eventually supersede the 'nls()' function in the R distribution. For example, 'nls()' specifically does NOT deal with small or zero residual problems as its Gauss-Newton method frequently stops with 'singular gradient' messages. 'nlsr' is based on the now-deprecated package 'nlmrt', and has refactored functions and R-language symbolic derivative features.
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2025-04-22 |
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r-nlsmsn
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Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression.
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2025-04-22 |
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r-nlshrink
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Non-linear shrinkage estimation of population eigenvalues and covariance matrices, based on publications by Ledoit and Wolf (2004, 2015, 2016).
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2025-04-22 |
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r-nls2
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Adds brute force and multiple starting values to nls.
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2025-04-22 |
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r-nlroot
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This is a package which can help you search for the root of a equation.
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2025-04-22 |
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r-nlms
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Package to select best model among several linear and nonlinear models. The main function uses the gnls() function from the 'nlme' package to fit the data to nine regression models, named: "linear", "quadratic", "cubic", "logistic", "exponential", "power", "monod", "haldane", "logit".
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2025-04-22 |
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r-nlmrt
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Replacement for nls() tools for working with nonlinear least squares problems. The calling structure is similar to, but much simpler than, that of the nls() function. Moreover, where nls() specifically does NOT deal with small or zero residual problems, nlmrt is quite happy to solve them. It also attempts to be more robust in finding solutions, thereby avoiding 'singular gradient' messages that arise in the Gauss-Newton method within nls(). The Marquardt-Nash approach in nlmrt generally works more reliably to get a solution, though this may be one of a set of possibilities, and may also be statistically unsatisfactory. Added print and summary as of August 28, 2012.
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2025-04-22 |
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r-nlmeu
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nlmeU: Datasets and utility functions enhancing functionality of nlme package. Datasets, functions and scripts are described in book titled 'Linear Mixed-Effects Models: A Step-by-Step Approach' by Galecki and Burzykowski (2013). Package is under development.
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2025-04-22 |
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r-nlmeode
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This package combines the odesolve and nlme packages for mixed-effects modelling using differential equations.
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2025-04-22 |
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r-nlirms
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Design of non-life insurance rate-making system with a frequency and a severity component based on the a posteriori criteria. The rate-making system is a general form of bonus-malus system introduced by Lemaire (1995), <doi:10.1007/978-94-011-0631-3> and Frangos and Vrontos (2001), <doi:10.2143/AST.31.1.991>.
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2025-04-22 |
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r-nlgeocoder
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R interface to the open location server API of 'Publieke Diensten Op de Kaart' (<http://www.pdok.nl>). It offers geocoding, address suggestions and lookup of geographical objects. Included is an utility function for displaying leaflet tiles restricted to the Netherlands.
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2025-04-22 |
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r-nlcoptim
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Optimization for nonlinear objective and constraint functions. Linear or nonlinear equality and inequality constraints are allowed. It accepts the input parameters as a constrained matrix.
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2025-04-22 |
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r-nlar
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Client for programmatic access to the 2007 and 2012 National Lakes Assessment database <https://www.epa.gov/national-aquatic-resource-surveys/nla> containing data for hundreds of lakes in the lower 48 states of the contiguous US.
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2025-04-22 |
