close

Showing 10 of total 10 results (show query)

jeroen

mongolite:Fast and Simple 'MongoDB' Client for R

High-performance MongoDB client based on 'mongo-c-driver' and 'jsonlite'. Includes support for aggregation, indexing, map-reduce, streaming, encryption, enterprise authentication, and GridFS. The online user manual provides an overview of the available methods in the package: <https://jeroen.github.io/mongolite/>.

Maintained by Jeroen Ooms. Last updated 7 days ago.

cyrus-sasl2opensslglibczlib

285 stars 11.25 score 860 scripts 10 dependents

r-lib

pingr:Check if a Remote Computer is Up

Check if a remote computer is up. It can either just call the system ping command, or check a specified TCP port.

Maintained by Gábor Csárdi. Last updated 4 months ago.

dnsis-onlinepingtcpglibc

36 stars 10.33 score 114 scripts 24 dependents

pecanproject

PEcAn.BASGRA:PEcAn Package for Integration of the BASGRA Model

This module provides functions to link the BASGRA model to PEcAn.

Maintained by Istem Fer. Last updated 3 days ago.

bayesiancyberinfrastructuredata-assimilationdata-scienceecosystem-modelecosystem-scienceforecastingmeta-analysisnational-science-foundationpecanplantsfortranglibc

216 stars 7.58 score 1 scripts

jorischau

gslnls:GSL Multi-Start Nonlinear Least-Squares Fitting

An R interface to weighted nonlinear least-squares optimization with the GNU Scientific Library (GSL), see M. Galassi et al. (2009, ISBN:0954612078). The available trust region methods include the Levenberg-Marquardt algorithm with and without geodesic acceleration, the Steihaug-Toint conjugate gradient algorithm for large systems and several variants of Powell's dogleg algorithm. Multi-start optimization based on quasi-random samples is implemented using a modified version of the algorithm in Hickernell and Yuan (1997, OR Transactions). Robust nonlinear regression can be performed using various robust loss functions, in which case the optimization problem is solved by iterative reweighted least squares (IRLS). Bindings are provided to tune a number of parameters affecting the low-level aspects of the trust region algorithms. The interface mimics R's nls() function and returns model objects inheriting from the same class.

Maintained by Joris Chau. Last updated 2 months ago.

gnu-scientific-librarygsllevenberg-marquardtmulti-startnonlinear-least-squaresnonlinear-regressionrobust-regresssionfortranglibc

16 stars 6.23 score 35 scripts 2 dependents

trotsiuk

r3PG:Simulating Forest Growth using the 3-PG Model

Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.

Maintained by Volodymyr Trotsiuk. Last updated 10 months ago.

fortranglibc

27 stars 5.83 score 25 scripts

shivaway

IAPWS95:Thermophysical Properties of Water and Steam

Functions for Water and Steam Properties based on the International Association for the Properties of Water (IAPWS) Formulation 1995 for the Thermodynamic Properties of Ordinary Water Substance for General and Scientific Use and on the releases for viscosity, conductivity, surface tension and melting pressure.

Maintained by Shawn Way. Last updated 2 years ago.

fortranglibc

4.76 score 116 scripts

vmoprojs

GeoModels:Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) <doi:10.1007/s11222-014-9460-6>, Bevilacqua et al. (2016) <doi:10.1007/s13253-016-0256-3>, Vallejos et al. (2020) <doi:10.1007/978-3-030-56681-4>, Bevilacqua et. al (2020) <doi:10.1002/env.2632>, Bevilacqua et. al (2021) <doi:10.1111/sjos.12447>, Bevilacqua et al. (2022) <doi:10.1016/j.jmva.2022.104949>, Morales-Navarrete et al. (2023) <doi:10.1080/01621459.2022.2140053>, and a large class of examples and tutorials.

Maintained by Moreno Bevilacqua. Last updated 2 months ago.

fortranopenblasglibc

3 stars 4.17 score 83 scripts

cran

SAPP:Statistical Analysis of Point Processes

Functions for statistical analysis of point processes.

Maintained by Masami Saga. Last updated 2 years ago.

fortranglibc

3.00 score

jipingw

SPECIES:Statistical Package for Species Richness Estimation

Implementation of various methods in estimation of species richness or diversity in Wang (2011)<doi:10.18637/jss.v040.i09>.

Maintained by Ji-Ping Wang. Last updated 6 months ago.

fortranglibc

2.76 score 57 scripts

bioc

bgx:Bayesian Gene eXpression

Bayesian integrated analysis of Affymetrix GeneChips

Maintained by Ernest Turro. Last updated 5 months ago.

microarraydifferentialexpressioncppglibc

2.30 score 1 scripts

: