{ "_id": "6a1f3a3cb401979e73428f9e", "Package": "jmatrix", "Type": "Package", "Title": "Read from/Write to Disk Matrices with any Data Type in a Binary\nFormat", "Version": "1.5.2", "Date": "2024-07-05", "Author": "Juan Domingo [aut, cre]\n(), Guillermo Ayala\n[ctb] (), Spanish\nMinistry of Science and Innovation, MCIN/AEI\n [fnd]", "Authors@R": "c(person(\"Juan\",\"Domingo\", email = \"Juan.Domingo@uv.es\", role=c(\"aut\",\"cre\"), comment=c(ORCID=\"0000-0003-4728-6256\")),\nperson(\"Guillermo\",\"Ayala\", email = \"Guillermo.Ayala@uv.es\", role=c(\"ctb\"), comment=c(ORCID=\"0000-0002-6231-2865\")),\nperson(\"Spanish Ministry of Science and Innovation, MCIN/AEI \", role=c(\"fnd\")))", "Maintainer": "Juan Domingo ", "Description": "A mainly instrumental package meant to allow other\npackages whose core is written in 'C++' to read, write and\nmanipulate matrices in a binary format so that the memory used\nfor them is no more than strictly needed. Its functionality is\nalready inside 'parallelpam' and 'scellpam', so if you have\ninstalled any of these, you do not need to install 'jmatrix'.\nUsing just the needed memory is not always true with 'R'\nmatrices or vectors, since by default they are of double type.\nTrials like the 'float' package have been done, but to use them\nyou have to coerce a matrix already loaded in 'R' memory to a\nfloat matrix, and then you can delete it. The problem comes\nwhen your computer has not memory enough to hold the matrix in\nthe first place, so you are forced to load it by chunks. This\nis the problem this package tries to address (with partial\nsuccess, but this is a difficult problem since 'R' is not a\nstrictly typed language, which is anyway quite hard to get in\nan interpreted language). 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