{ "_id": "6a106710acfb0bcc41ca90ce", "Package": "madness", "Maintainer": "Steven E. Pav ", "Authors@R": "c(person(c(\"Steven\", \"E.\"), \"Pav\", \nrole=c(\"aut\",\"cre\"),\nemail=\"shabbychef@gmail.com\",\ncomment = c(ORCID = \"0000-0002-4197-6195\")))", "Version": "0.2.7", "Date": "2020-02-07", "License": "LGPL-3", "Title": "Automatic Differentiation of Multivariate Operations", "BugReports": "https://github.com/shabbychef/madness/issues", "Description": "An object that supports automatic differentiation of\nmatrix- and multidimensional-valued functions with respect to\nmultidimensional independent variables. 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"Steven Pav" }, "_downloads": { "count": 351, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/madness" }, "_devurl": "https://github.com/shabbychef/madness", "_searchresults": 42, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/madness.html", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/shabbychef/madness", "_realowner": "shabbychef", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2015-12-15" }, { "version": "0.2.0", "date": "2016-01-20" }, { "version": "0.2.1", "date": "2017-04-14" }, { "version": "0.2.2", "date": "2017-04-26" }, { "version": "0.2.3", "date": "2018-02-15" }, { "version": "0.2.4", "date": "2018-08-27" }, { "version": "0.2.5", "date": "2018-08-29" }, { "version": "0.2.6", "date": "2019-04-19" }, { "version": "0.2.7", "date": "2020-02-08" }, { "version": "0.2.8", "date": "2023-08-21" } ], "_exports": [ "%o%", "as.array", "as.madness", "as.matrix", "blockrep", "cbind2", "colMeans", "colSums", "det", "determinant", "diag", "dvdx", "eigen", "ivech", "madness", "matrix.trace", "maxeig", "norm", "numderiv", "outer", "rbind2", "repto", "rowMeans", "rowSums", "show", "solve", "sqrtm", "t", "theta", "to_objective", "todiag", "tril", "triu", "twomoments", "val", "varx", "varx<-", "vec", "vech", "vtag", "vtag<-", "xtag", "xtag<-" ], "_datasets": [ { "name": "stock_returns", "title": "Stock Returns Data", "object": "stock_returns", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Date", "AAPL", "IBM" ], "rows": 1930, "table": true, "tojson": true }, { "name": "wff3", "title": "Weekly Fama French 3 Factor Returns", "object": "wff3", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "Date", "Mkt", "SMB", "HML", "RF" ], "rows": 4800, "table": true, "tojson": true } ], "_help": [ { "page": "extract-methods", "title": "Extract parts of a 'madness' value.", "topics": [ "[", "[,madness,ANY,ANY,ANY-method", "[,madness,ANY,missing,ANY-method" ] }, { "page": "accessor-methods", "title": "Accessor methods.", "topics": [ "accessor", "dim,madness-method", "dvdx", "dvdx,madness-method", "length,madness-method", "val", "val,madness-method", "varx", "varx,madness-method", "vtag", "vtag,madness-method", "xtag", "xtag,madness-method" ] }, { "page": "arithops", "title": "Basic Arithmetic Operations.", "topics": [ "*,array,madness-class", "*,array,madness-method", "*,madness,array-class", "*,madness,array-method", "*,madness,madness-class", "*,madness,madness-method", "*,madness,numeric-class", "*,madness,numeric-method", "*,numeric,madness-class", "*,numeric,madness-method", "+,array,madness-class", "+,array,madness-method", "+,madness,array-class", "+,madness,array-method", "+,madness,madness-class", "+,madness,madness-method", "+,madness,missing-method", "+,madness,numeric-class", "+,madness,numeric-method", "+,madness-class", "+,numeric,madness-class", "+,numeric,madness-method", "-,array,madness-class", "-,array,madness-method", "-,madness,array-class", "-,madness,array-method", "-,madness,madness-class", "-,madness,madness-method", "-,madness,missing-method", "-,madness,numeric-class", "-,madness,numeric-method", "-,madness-class", "-,numeric,madness-class", "-,numeric,madness-method", "/,array,madness-class", "/,array,madness-method", "/,madness,array-class", "/,madness,array-method", "/,madness,madness-class", "/,madness,madness-method", "/,madness,numeric-class", "/,madness,numeric-method", "/,numeric,madness-class", "/,numeric,madness-method", "arithops", "^,array,madness-class", "^,array,madness-method", "^,madness,array-class", "^,madness,array-method", "^,madness,madness-class", "^,madness,madness-method", "^,madness,numeric-class", "^,madness,numeric-method", "^,numeric,madness-class", "^,numeric,madness-method" ] }, { "page": "as", "title": "Coerce madness to something else", "topics": [ "as", "as.array", "as.array,madness-method", "as.matrix", "as.matrix,madness-method", "as.numeric", "as.numeric,madness-method" ] }, { "page": "as.madness", "title": "Coerce to a madness object.", "topics": [ "as.madness", "as.madness.default" ] }, { "page": "bind", "title": "Row and Column Bind", "topics": [ "bind", "c.madness", "cbind2,ANY,madness-method", "cbind2,madness,ANY-method", "cbind2,madness,madness-method", "cbind2,madness,missing-method", "rbind2,ANY,madness-method", "rbind2,madness,ANY-method", "rbind2,madness,madness-method", "rbind2,madness,missing-method" ] }, { "page": "blockrep", "title": "Replicate blocks of multidimensional value.", "topics": [ "blockrep", "repto" ] }, { "page": "colsums", "title": "Form Row and Column Sums and Means", "topics": [ "colMeans", "colMeans,madness-method", "colSums", "colsums", "colSums,madness-method", "rowMeans", "rowMeans,madness-method", "rowSums", "rowSums,madness-method" ] }, { "page": "det", "title": "Matrix Determinant", "topics": [ "det", "determinant", "determinant,madness,ANY-method", "determinant,madness,logical-method", "determinant,madness,missing-method", "determinant.madness" ] }, { "page": "eigen", "title": "Spectral Decomposition of a Matrix", "topics": [ "eigen", "eigen,madness-method" ] }, { "page": "elwise", "title": "Element-wise Multivariate Operations", "topics": [ "abs,madness-method", "cos,madness-method", "elwise", "exp,madness-method", "log,madness-method", "log10,madness-method", "sin,madness-method", "sqrt,madness-method", "tan,madness-method" ] }, { "page": "madness-class", "title": "Madness Class.", "topics": [ "initialize,madness-class", "initialize,madness-method", "madness", "madness-class" ] }, { "page": "NEWS", "title": "News for package 'madness':", "topics": [ "madness-NEWS" ] }, { "page": "madness-pkg", "title": "Multivariate Automatic Differentiation.", "topics": [ "madness-pkg" ] }, { "page": "marithops", "title": "Basic Matrix Arithmetic Operations.", "topics": [ "%*%,array,madness-class", "%*%,array,madness-method", "%*%,madness,array-class", "%*%,madness,array-method", "%*%,madness,madness-method", "crossprod", "crossprod,ANY,madness-method", "crossprod,madness,ANY-method", "crossprod,madness,madness-method", "crossprod,madness,missing-method", "marithops", "tcrossprod", "tcrossprod,ANY,madness-method", "tcrossprod,madness,ANY-method", "tcrossprod,madness,madness-method", "tcrossprod,madness,missing-method", "`%*%`,madness,madness-class" ] }, { "page": "matrix.trace", "title": "Matrix Trace", "topics": [ "matrix.trace", "matrix.trace,ANY-method", "matrix.trace,madness-method" ] }, { "page": "matwise", "title": "Matrix-wise Multivariate Operations", "topics": [ "chol", "chol.madness", "matwise", "sqrtm", "sqrtm,madness-method" ] }, { "page": "max", "title": "Maxima and Minima", "topics": [ "max", "max,madness-class", "max,madness-method", "min", "min,madness-class", "min,madness-method" ] }, { "page": "norm", "title": "Matrix and vector norms.", "topics": [ "maxeig", "maxeig,madness-method", "norm", "norm,madness,ANY-method", "norm,madness,missing-method", "norm,madness-method" ] }, { "page": "numderiv", "title": "Numerical (approximate) Differentiation.", "topics": [ "ANY,array-method", "ANY,madness-method", "numderiv", "numderiv,ANY,array-method", "numderiv,ANY,madness-method" ] }, { "page": "outer", "title": "Outer product.", "topics": [ "%o%", "kronecker,array,madness-class", "kronecker,array,madness-method", "kronecker,madness,array-class", "kronecker,madness,array-method", "kronecker,madness,madness-class", "kronecker,madness,madness-method", "outer", "outer,ANY,ANY-method", "outer,array,madness-method", "outer,madness,array-method", "outer,madness,madness-method" ] }, { "page": "reshapes", "title": "Basic Reshape Operations", "topics": [ "aperm", "aperm.madness", "dim<-,madness,ANY-method", "dim<-,madness-method", "reshapes", "t", "t,madness-method", "tril", "tril,madness-method", "triu", "triu,madness-method" ] }, { "page": "setter-methods", "title": "Setter methods.", "topics": [ "setter", "varx<-", "varx<-,madness-method", "vtag<-", "vtag<-,madness-method", "xtag<-", "xtag<-,madness-method" ] }, { "page": "show-methods", "title": "Show a madness object.", "topics": [ "show", "show,madness-method" ] }, { "page": "solve", "title": "Basic Matrix Inversion", "topics": [ "solve", "solve,ANY,madness-method", "solve,ANY,missing-method", "solve,array,madness-method", "solve,madness,ANY-method", "solve,madness,array-method", "solve,madness,madness-method", "solve,madness,missing-method" ] }, { "page": "stock_returns", "title": "Stock Returns Data", "topics": [ "stock_returns" ] }, { "page": "sumprod", "title": "Sum and Product.", "topics": [ "prod", "prod,madness-class", "prod,madness-method", "sum", "sum,madness-class", "sum,madness-method", "sumprod" ] }, { "page": "theta", "title": "Estimate the symmetric second moment array of values.", "topics": [ "theta" ] }, { "page": "to_objective", "title": "Convert a madness object into an objective value with gradient", "topics": [ "to_objective" ] }, { "page": "todiag", "title": "Diagonal Operations", "topics": [ "diag", "diag,madness-method", "todiag", "todiag,madness-method" ] }, { "page": "twomoments", "title": "Estimate the mean and covariance of values.", "topics": [ "twomoments" ] }, { "page": "vcov.madness", "title": "Calculate Variance-Covariance Matrix for a model.", "topics": [ "vcov.madness" ] }, { "page": "vec", "title": "vectorize a multidimensional array.", "topics": [ "ivech", "ivech,ANY-method", "ivech,madness-method", "vec", "vec,array-method", "vec,madness-method", "vech", "vech,array-method", "vech,madness-method" ] }, { "page": "wff3", "title": "Weekly Fama French 3 Factor Returns", "topics": [ "wff3" ] } ], "_readme": "https://github.com/shabbychef/madness/raw/HEAD/README.md", "_rundeps": [ "expm", "lattice", "Matrix", "matrixcalc" ], "_vignettes": [ { "source": "introducing_madness.Rnw", "filename": 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