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r-medor
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This package contains the functions used to perform some confidence statistics based in population median.
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2023-06-16 |
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r-mathgraph
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Simple tools for constructing and manipulating objects of class mathgraph from the book "S Poetry", available at <http://www.burns-stat.com/pages/spoetry.html>.
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2023-06-16 |
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r-matchbook
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Provides a wrapper for the some basic functionality around the 'Matchbook' <http://www.matchbook.com> REST API. It features calls to get events, markets and runners in data frame format. It features functions for bet placement and position management and also allows reporting of settled bet transactions. Note: this package uses the back-lay format. The default for odds type, currency and language are set according to those of the registered user account.
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2023-06-16 |
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r-lettercase
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Utilities for formatting strings and character vectors to for capitalization, word break and white space. Supported formats are: snake_case, spine-case, camelCase, PascalCase, Title Case, UPPERCASE, lowercase, Sentence case or combinations thereof. 'lettercase' strives to provide a simple, consistent, intuitive and high performing interface.
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2023-06-16 |
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r-missmech
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To test whether the missing data mechanism, in a set of incompletely observed data, is one of missing completely at random (MCAR). For detailed description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech: An R Package for Testing Homoscedasticity, Multivariate Normality, and Missing Completely at Random (MCAR)," Journal of Statistical Software, 56(6), 1-31. URL http://www.jstatsoft.org/v56/i06/.
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2023-06-16 |
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r-mail
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Easy to use package for sending email notifications with status information from R
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2023-06-16 |
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r-lsplsglm
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Fit logistic regression models using LS-PLS approaches to analyse both clinical and genomic data. (C. Bazzoli and S. Lambert-Lacroix. (2017) Classification using LS-PLS with logistic regression based on both clinical and gene expression variables <https://hal.archives-ouvertes.fr/hal-01405101>).
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2023-06-16 |
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r-lmec
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This package includes a function to fit a linear mixed-effects model in the formulation described in Laird and Ware (1982) but allowing for censored normal responses. In this version, the with-in group errors are assumed independent and identically distributed.
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2023-06-16 |
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r-mitisem
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Flexible multivariate function approximation using adapted Mixture of Student t Distributions. Mixture of t distribution is obtained using Importance Sampling weighted Expectation Maximization algorithm.
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2023-06-16 |
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r-mconjoint
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The package aids in creating a Conjoint Analysis design with extra cards. Unlike traditional "holdout" cards these cards are used to create a set of "good" (balanced and low correlation) designs. Each of these designs is analyzed and the average calculated.
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2023-06-16 |
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r-limitplot
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Values below a specified limit of detection are stacked in rows in order to reduce overplotting and create a clear graphical representation of your data.
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2023-06-16 |
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r-mozzie
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Weekly notified dengue cases in 25 districts of Sri Lanka from 2008/ week-52 to 2014/ week-21.
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2023-06-16 |
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r-mlica2
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An R code implementation of the maximum likelihood (fixed point) algorithm of Hyvaerinen, Karhuna, and Oja for independent component analysis.
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2023-06-16 |
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r-mimix
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Tools to combine results for multiply-imputed data using mixture approximations
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2023-06-16 |
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r-mhadaptive
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Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a user defined function which returns the un-normalized value (likelihood times prior) of a Bayesian model. The proposal variance-covariance structure is updated adaptively for efficient mixing when the structure of the target distribution is unknown. The package also provides some functions for Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation.
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2023-06-16 |
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r-lift
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Compute the top decile lift and plot the lift curve. Cumulative lift curves are also supported.
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2023-06-16 |
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r-lambda4
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Currently the package includes 14 methods for calculating internal consistency reliability but is still growing. The package allows users access to whichever reliability estimator is deemed most appropriate for their situation.
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2023-06-16 |
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r-knnindep
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This package provides the implementation of an exact formula of the ith nearest neighbour distance distribution and implementations of tests of independence based on that formula. Furthermore the package provides a general framework to benchmark tests of independence.
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2023-06-16 |
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r-kedd
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Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data.
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2023-06-16 |
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r-jdx
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Simplifies and extends data exchange between 'R' and 'Java'.
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2023-06-16 |
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r-interpol
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A package for numerical encoding as well as for linear and non-linear interpolation of amino acid sequences.
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2023-06-16 |
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r-intercure
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Implementations of semiparametric cure rate estimators for interval censored data in R. The algorithms are based on the promotion time and frailty models, all for interval censoring. For the frailty model, there is also a implementation contemplating clustered data.
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2023-06-16 |
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r-inspectr
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Check one column or multiple columns of a dataframe using the preset basic checks or your own functions. Enables checks without knowledge of lapply() or sapply().
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2023-06-16 |
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r-knoema
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Using this package, users can access to the largest collection of public data and statistics on the Internet featuring about 2.5 billion time series from thousands of sources collected in 'Knoema' repository and use rich R calculations in order to analyze the data. Because data in 'Knoema' is time series data, 'Knoema' function offers data in a number of formats usable in R such as 'ts', 'xts' or 'zoo'. For more information about 'Knoema' API go to <https://knoema.com/dev/docs>.
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2023-06-16 |
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r-kmconfband
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Computes and plots an exact nonparametric band for any user-specified level of confidence from a single-sample survfit object
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2023-06-16 |
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r-kendl
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Calculate the kernel-smoothed nonparametric estimator for the exposure distribution in presence of detection limits.
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2023-06-16 |
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r-ivfixed
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Fit an Instrumental least square dummy variable model
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2023-06-16 |
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r-itunesr
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To enable 'iOS' App Developers to access iTunes App Store Ratings and Reviews using R to extract Basic App Information and Reviews submitted by their App users, Since Apple Store does not provide this straightforward.
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2023-06-16 |
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r-komadown
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R Markdown templates based on the 'KOMA-Script' classes for LaTeX, additionally offering cross-referencing via the 'bookdown' package.
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2023-06-16 |
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r-kmlcov
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'kmlcov' Cluster longitudinal data using the likelihood as a metric of distance. The generalised linear model allow the user to introduce covariates with different level effects (2 levels).
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2023-06-16 |
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r-isoci
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Some functions for confidence intervals for current status data based on transformations and bootstrap.
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2023-06-16 |
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r-intubate
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Interface to popular R functions with formulas and data, such as 'lm', so they can be included painlessly in data science pipelines implemented by 'magrittr' with the operator %>%.
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2023-06-16 |
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r-intlik
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This package calculates the integrated likelihood numerically. Given the Likelihood function and the prior function, this package integrates out the nuisance parameters by Metropolis-Hastings (MCMC) Algorithm.
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2023-06-16 |
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r-interventionaldbn
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This package allows a dynamic Bayesian network to be inferred from microarray timecourse data with interventions (inhibitors).
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2023-06-16 |
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r-ivpanel
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Fit the instrumental panel data models: the fixed effects, random effects and between models.
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2023-06-16 |
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r-invlt
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Provides two functions for the numerical inversion of Laplace-Transformed functions, returning the value of the standard (time) domain function at a specified value. The first algorithm is the first optimum contour algorithm described by Evans and Chung (2000)[1]. The second algorithm uses the Bromwich contour as per the definition of the inverse Laplace Transform. The latter is unstable for numerical inversion and mainly included for comparison or interest. There are also some additional functions provided for utility, including plotting and some simple Laplace Transform examples, for which there are known analytical solutions. Polar-cartesian conversion functions are included in this package and are used by the inversion functions. [1] Evans & Chung, 2000: Laplace transform inversions using optimal contours in the complex plane; International Journal of Computer Mathematics v73 pp531-543.
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2023-06-16 |
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r-labeledloop
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Support labeled loop and escape from nested loop
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2023-06-16 |
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r-junr
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The 'Junar' API is a commercial platform to organize and publish data <http://www.junar.com>. It has been used in a number of national and local government Open Data initiatives in Latin America and the USA. This package is a wrapper to make it easier to access data made public through the 'Junar' API.
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2023-06-16 |
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r-ipwsurvival
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In observational studies, the presence of confounding factors is common and the comparison of different groups of subjects requires adjustment. In this package, we propose simple functions to estimate adjusted survival curves and log-rank test based on inverse probability weighting (IPW).
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2023-06-16 |
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r-ipdmeta
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This package provides functions to estimate an IPD linear mixed effects model for a continuous outcome and any categorical covariate from study summary statistics. There are also functions for estimating the power of a treatment-covariate interaction test in an individual patient data meta-analysis from aggregate data.
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2023-06-16 |
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r-kulife
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Provides various functions and data sets from experiments at the Faculty of Life Sciences, University of Copenhagen. This package will be discontinued and archived, and the functions and datasets will be maintained and updated in the MESS package
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2023-06-16 |
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r-knngarden
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Multi-distance based k-Nearest Neighbors Classification with K Threshold Value Check and Same K_i Problem Dealing, Missing Observations Filling
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2023-06-16 |
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r-kmda
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Compute p-values of metabolite differential expression analysis using the kernel-based approach.
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2023-06-16 |
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r-jtrans
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Transforming univariate non-normal data to normality using Johnson families of distributions. Johnson family is a comprehensive distribution family that accommodates many kinds of non-normal distributions. A bunch of distributions with various parameters will be fit and the corresponding p-values under a user-specified normality test will be given. The final transformation will be the one with the largest p-value under the given normality test.
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2023-06-16 |
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r-johnson
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RE.Johnson performs the Johnson Transformation to increase the normality.
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2023-06-16 |
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r-interpol.t
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Hourly interpolation of daily minimum and maximum temperature series. Carries out interpolation on multiple series ad once. Requires some hourly series for calibration (alternatively can use default calibration table).
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2023-06-16 |
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r-iptmnetr
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Provides an R interface to the 'iPTMnet' database REST API, which can be used to retrieve Post Translational Modification (PTM) data in systems biology context. This package handles all the aspects of communicating with the API, which involve sending the request, checking the error codes and parsing the response in a format that is ready to integrate into existing workflows.
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2023-06-16 |
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r-ipmpack
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IPMpack takes demographic vital rates and (optionally) environmental data to build integral projection models. A number of functional forms for growth and survival can be incorporated, as well as a range of reproductive strategies. The package also includes a suite of diagnostic routines, provides classic matrix model output (e.g., lambda, elasticities, sensitivities), and produces post-hoc metrics (e.g., passage time and life expectancy).
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2023-06-16 |
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r-insiderode
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insideRODE package includes buildin functions from deSolve, compiled functions from compiler, and C/FORTRAN code interfaces to nlme. It includes nlmLSODA, nlmODE, nlmVODE,nlmLSODE for general purpose; cfLSODA,cfLSODE, cfODE, cfVODE call C/FORTRAN compiled dll functions.ver2.0 add sink()function into example it helps to directly combine c/fortran source code in R files. Finally, with new compiler package, we generated compiled functions: nlmODEcp, nlmVODEcp, nlmLSODEcp,nlmLSODAcp and cpODE, cpLSODA, cpLSODE, cpVODE. They will help to increase speed.
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2023-06-16 |
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r-klin
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The package implements efficient ways to evaluate and solve equations of the form Ax=b, where A is a kronecker product of matrices. Functions to solve least squares problems of this type are also included.
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2023-06-16 |
