NNLM
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Nonnegative Linear Models (NNLM) and Nonnegative Matrix Factorization (NMF or NNMF).
The NNLM site on CRAN had a BSD2 license description, but this NNLM site on GitHub has no BSD2 or other description, so I cannot use it. If possible, please...
Hi I am trying to run nnlm functions. It is written that y : a vector or matrix of responses. However I cannot run the function with single column response....
Hi, When I install the package on my local R, it stopped with "package ‘NNLM’ was installed before R 4.0.0: please re-install it" Do you have any updates for your...
See https://github.com/zdebruine/RcppML/issues/29. As Kim and Park note in their 2004 manuscript (cited in the NNLM BMC Bioinformatics manuscript), it is necessary to normalize the factors in the model (by columns...
Currently, `nnmf()` doesn't specifically handle the case of symmetric `A`, resulting asymmetric `W, H`. Please consider adding such feature: that would be extremely useful for factorizing pairwise distance and correlation...
uments/R/win-library/3.5/Rcpp/include/Rcpp/as.h:152:82: required from 'T Rcpp::as(SEXP) [with T = arma::Mat; SEXP = SEXPREC*]' C:/Users/admin/Documents/R/win-library/3.5/Rcpp/include/Rcpp/InputParameter.h:34:45: required from 'Rcpp::InputParameter::operator T() [with T = arma::Mat]' RcppExports.cpp:51:171: required from here C:/Users/admin/Documents/R/win-library/3.5/RcppArmadillo/include/armadillo_bits/Mat_meat.hpp:5958:3: warning: no return statement...
I was doing some tests with the nnlm function hoping it would be faster than the inbuilt nnls R function, but if I try with a 200 x 1000 covariate...
Dear NNLM Team, Your package is great. Actually, at the moment this is only package supporting missing values. It would be nice to have absolute loss |x| supported as well....
hello, recently I failed to install the NNLM package on the linux server. Thus can you supply it using offline form ".tar.gz"??? In this way I can use "R CMD...
I was wondering if it would be hard to allow NNLM to accept adaptive penalty weights, so one could use it to carry out adaptive LASSO or adaptive ridge (as...