matrixcalc: Collection of Functions for Matrix Calculations

Canonical link: https://rscholar.com/pkg/matrixcalc

Frederick Novomestky • View description and downloads View dependencies GitHub project

2007 Published

1.0-6 Version

0 Citations

1 Authors

Referenced by ⇅	Year
BMTME: Bayesian Multi-Trait Multi-Environment for Genomic Selection Analysis (Version 1.0.19)	2019
BNPMIXcluster: Bayesian Nonparametric Model for Clustering with Mixed Scale Variables (Version 1.3)	2016
DUBStepR: Correlation-Based Feature Selection for Single-Cell RNA Sequencing Data (Version 1.2.0)	2021
HMMcopula: Markov Regime Switching Copula Models Estimation and Goodness of Fit (Version 1.0.4)	2018
HRM: High-Dimensional Repeated Measures (Version 1.2.1)	2015
jlsm: Joint Latent Space Model for Social Networks with Multivariate Attributes (Version 0.1.0)	2021
lmvar: Linear Regression with Non-Constant Variances (Version 1.5.2)	2017
microsamplingDesign: Finding Optimal Microsampling Designs for Non-Compartmental Pharmacokinetic Analysis (Version 1.0.8)	2018
mixComp: Estimation of Order of Mixture Distributions (Version 0.1-2)	2020
Renvlp: Computing Envelope Estimators (Version 3.4.5)	2018
AGPRIS: AGricultural PRoductivity in Space (Version 2.0)	2020
ARCensReg: Fitting Univariate Censored Linear Regression Model with Autoregressive Errors (Version 3.0.1)	2016
BANAM: Bayesian Analysis of the Network Autocorrelation Model (Version 0.2.1)	2024
BEDASSLE: Quantifies Effects of Geo/Eco Distance on Genetic Differentiation (Version 1.6.1)	2013
BayesSampling: Bayes Linear Estimators for Finite Population (Version 1.1.0)	2020
BayesianFactorZoo: Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models (Version 0.0.0.2)	2023
Bergm: Bayesian Exponential Random Graph Models (Version 5.0.7)	2009
CDatanet: Econometrics of Network Data (Version 2.2.0)	2021
CoSMoS: Complete Stochastic Modelling Solution (Version 2.1.0)	2019
CommKern: Network-Based Communities and Kernel Machine Methods (Version 1.0.1)	2022
Corbi: Collection of Rudimentary Bioinformatics Tools (Version 0.6-2)	2016
DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm (Version 2.0.5)	2018
DemoKin: Estimate Population Kin Distribution (Version 1.0.3)	2023
DiSSMod: Fitting Sample Selection Models for Discrete Response Variables (Version 1.0.0)	2019
EMC2: Bayesian Hierarchical Analysis of Cognitive Models of Choice (Version 2.0.2)	2024
EMgaussian: Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data (Version 0.2.1)	2024
EcoEnsemble: A General Framework for Combining Ecosystem Models (Version 1.1.0)	2022
FPCdpca: The FPCdpca Criterion on Distributed Principal Component Analysis (Version 0.1.0)	2024
FamEvent: Family Age-at-Onset Data Simulation and Penetrance Estimation (Version 3.2)	2016
GNAR: Methods for Fitting Network Time Series Models (Version 1.1.3)	2018
GenMarkov: Multivariate Markov Chains (Version 0.2.0)	2021
ICsurv: Semiparametric Regression Analysis of Interval-Censored Data (Version 1.0.1)	2014
Kurt: Performs Kurtosis-Based Statistical Analyses (Version 1.1)	2020
MMeM: Multivariate Mixed Effects Model (Version 0.1.1)	2019
MarkowitzR: Statistical Significance of the Markowitz Portfolio (Version 1.0.3)	2014
MetaHD: A Multivariate Meta-Analysis Model for Metabolomics Data (Version 0.1.2)	2024
NRejections: Metrics for Multiple Testing with Correlated Outcomes (Version 1.2.0)	2018
OEFPIL: Optimal Estimation of Function Parameters by Iterated Linearization (Version 0.1.1)	2021
Opt5PL: Optimal Designs for the 5-Parameter Logistic Model (Version 0.1.1)	2018
OptimalDesign: A Toolbox for Computing Efficient Designs of Experiments (Version 1.0.1)	2016
PROreg: Patient Reported Outcomes Regression Analysis (Version 1.3)	2017
PRSPGx: Construct PGx PRS (Version 0.3.0)	2021
RMark: R Code for Mark Analysis (Version 3.0.0)	2011
RRRR: Online Robust Reduced-Rank Regression Estimation (Version 1.1.1)	2020
SIRE: Finding Feedback Effects in SEM and Testing for Their Significance (Version 1.1.0)	2018
SLBDD: Statistical Learning for Big Dependent Data (Version 0.0.4)	2021
SMLE: Joint Feature Screening via Sparse MLE (Version 2.1-1)	2020
SharpeR: Statistical Significance of the Sharpe Ratio (Version 1.3.0)	2013
Skillings.Mack: The Skillings-Mack Test Statistic for Block Designs with Missing Observations (Version 1.10)	2013
StructureMC: Structured Matrix Completion (Version 1.0)	2019
TCA: Tensor Composition Analysis (Version 1.2.1)	2019
TestIndVars: Testing the Independence of Variables for Specific Covariance Structures (Version 0.1.0)	2024
Unico: Unified Cross-Omics Deconvolution (Version 0.1.0)	2024
VIRF: Computation of Volatility Impulse Response Function of Multivariate Time Series (Version 0.1.0)	2019
aIc: Testing for Compositional Pathologies in Datasets (Version 1.0)	2022
adass: Adaptive Smoothing Spline (AdaSS) Estimator for the Function-on-Function Linear Regression (Version 1.0.1)	2021
adnuts: No-U-Turn MCMC Sampling for 'ADMB' Models (Version 1.1.2)	2018
ahnr: An Implementation of the Artificial Hydrocarbon Networks (Version 0.3.1)	2017
alphaci: Confidence Intervals for Coefficient Alpha and Standardized Alpha (Version 1.0.1)	2022
backShift: Learning Causal Cyclic Graphs from Unknown Shift Interventions (Version 0.1.4.3)	2015
bgsmtr: Bayesian Group Sparse Multi-Task Regression (Version 0.7)	2016
bspcov: Bayesian Sparse Estimation of a Covariance Matrix (Version 1.0.0)	2024
cSEM: Composite-Based Structural Equation Modeling (Version 0.5.0)	2020
decp: Complete Change Point Analysis (Version 0.1.2)	2024
discSurv: Discrete Time Survival Analysis (Version 2.0.0)	2015
dmlalg: Double Machine Learning Algorithms (Version 1.0.2)	2021
dualScale: Dual Scaling Analysis of Data (Version 1.0.0)	2014
estimateW: Estimation of Spatial Weight Matrices (Version 0.0.1)	2022
exactLTRE: An Exact Method for Life Table Response Experiment (LTRE) Analysis (Version 0.1.0)	2022
face: Fast Covariance Estimation for Sparse Functional Data (Version 0.1-7)	2016
fglsnet: A Feasible Generalized Least Squares Estimator for Regression Analysis of Outcomes with Network Dependence (Version 1.0)	2021
freqdom: Frequency Domain Based Analysis: Dynamic PCA (Version 2.0.5)	2015
geesmv: Modified Variance Estimators for Generalized Estimating Equations (Version 1.3)	2014
genpathmox: Pathmox Approach Segmentation Tree Analysis (Version 1.1)	2014
geommc: Geometric Markov Chain Sampling (Version 0.0.1)	2024
glmmEP: Generalized Linear Mixed Model Analysis via Expectation Propagation (Version 1.0-3.1)	2018
gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA (Version 0.1.4)	2019
graphsim: Simulate Expression Data from 'igraph' Networks (Version 1.0.3)	2020
isni: Index of Local Sensitivity to Nonignorability (Version 1.3)	2018
jewel: Graphical Models Estimation from Multiple Sources (Version 2.0.2)	2023
lmmpar: Parallel Linear Mixed Model (Version 0.1.0)	2017
locpolExpectile: Local Polynomial Expectile Regression (Version 0.1.1)	2021
madness: Automatic Differentiation of Multivariate Operations (Version 0.2.8)	2015
matrixNormal: The Matrix Normal Distribution (Version 0.1.1)	2018
matsbyname: An Implementation of Matrix Mathematics that Respects Row and Column Names (Version 0.6.10)	2019
meerva: Analysis of Data with Measurement Error Using a Validation Subsample (Version 0.2-2)	2021
metaSEM: Meta-Analysis using Structural Equation Modeling (Version 1.4.0)	2015
mfaces: Fast Covariance Estimation for Multivariate Sparse Functional Data (Version 0.1-4)	2021
momentuHMM: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models (Version 1.5.5)	2017
mro: Multiple Correlation (Version 0.1.1)	2017
multilevelmediation: Utility Functions for Multilevel Mediation Analysis (Version 0.3.1)	2024
mvSLOUCH: Multivariate Stochastic Linear Ornstein-Uhlenbeck Models for Phylogenetic Comparative Hypotheses (Version 2.7.6)	2013
nparMD: Nonparametric Analysis of Multivariate Data in Factorial Designs (Version 0.2.1)	2018
panelvar: Panel Vector Autoregression (Version 0.5.5)	2018
psborrow2: Bayesian Dynamic Borrowing Analysis and Simulation (Version 0.0.3.4)	2024
ptmixed: Poisson-Tweedie Generalized Linear Mixed Model (Version 1.1.3)	2019
qape: Quantile of Absolute Prediction Errors (Version 2.1)	2020
quadmatrix: Solving Quadratic Matrix Equations (Version 0.1.0)	2018
rTensor2: MultiLinear Algebra (Version 2.0.0)	2022
refreg: Conditional Multivariate Reference Regions (Version 0.1.1)	2021
relliptical: The Truncated Elliptical Family of Distributions (Version 1.3.0)	2021
retel: Regularized Exponentially Tilted Empirical Likelihood (Version 0.1.0)	2024
rodd: Optimal Discriminating Designs (Version 0.2-1)	2014
rrMixture: Reduced-Rank Mixture Models (Version 0.1-2)	2022
sasfunclust: Sparse and Smooth Functional Clustering (Version 1.0.0)	2021
sdpdth: M-Estimator for Threshold Spatial Dynamic Panel Data Model (Version 0.2)	2021
semicontMANOVA: Multivariate ANalysis of VAriance with Ridge Regularization for Semicontinuous High-Dimensional Data (Version 0.1-8)	2024
sim2Dpredictr: Simulate Outcomes Using Spatially Dependent Design Matrices (Version 0.1.1)	2020
skewMLRM: Estimation for Scale-Shape Mixtures of Skew-Normal Distributions (Version 1.6)	2021
skewlmm: Scale Mixture of Skew-Normal Linear Mixed Models (Version 1.1.0)	2020
slasso: S-LASSO Estimator for the Function-on-Function Linear Regression (Version 1.0.0)	2021
snpReady: Preparing Genotypic Datasets in Order to Run Genomic Analysis (Version 0.9.6)	2017
spectralGraphTopology: Learning Graphs from Data via Spectral Constraints (Version 0.2.3)	2019
stablespec: Stable Specification Search in Structural Equation Models (Version 0.3.0)	2016
starvars: Vector Logistic Smooth Transition Models Estimation and Prediction (Version 1.1.10)	2020
success: Survival Control Charts Estimation Software (Version 1.1.0)	2022
survivalMPLdc: Penalised Likelihood for Survival Analysis with Dependent Censoring (Version 0.1.1)	2020
winputall: Variable Input Allocation Among Crops (Version 1.0.1)	2024

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.