Imports: data.table (>= 1.11), magrittr (>= 1.5)

Title: Fast Data Aggregation, Modification, and Filtering with Pipes

Imports: data.table (>= 1.12.6), magrittr (>= 1.5)
Description: Package provides pipe-style interface for 'data.table'. It preserves all 'data.table' features without
significant impact on performance. 'let' and 'take' functions are simplified interfaces for most common data
manipulation tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for aggregation or
'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for modification. Use 'take_if/let_if' for conditional
aggregation/modification. 'query_if' function translates its arguments one-to-one to '[.data.table' method.
Additionally there are some conveniences such as automatic 'data.frame' conversion to 'data.table'.

Suggests: knitr, tinytest, utils, rmarkdown
Description: Provides pipe-style interface for 'data.table'. Package preserves all 'data.table' features without

Suggests: knitr, tinytest, utils, rmarkdown, stats
aggregation/modification. Additionally there are some conveniences such as automatic 'data.frame'

Title: Automatic Differentiation of Multivariate Operations
Description: An object that supports automatic differentiation
of matrix- and multidimensional-valued functions with
respect to multidimensional independent variables.
Automatic differentiation is via 'forward accumulation'.
Collate: 'AllClass.r' 'utils.r' 'Ops.r' 'bind.r' 'blockrep.r'
'coerce.r' 'det.r' 'elwise.r' 'madness_pkg.r' 'matwise.r'
'numderiv.r' 'reshape.r' 'solve.r' 'sum.r' 'sums.r' 'theta.r'

Collate: 'AllClass.r' 'bind.r' 'blockrep.r' 'coerce.r' 'det.r' 'diag.r'
'eigen.r' 'elwise.r' 'madness_pkg.r' 'matwise.r' 'max.r'
'norm.r' 'numderiv.r' 'Ops.r' 'reshape.r' 'solve.r' 'sum.r'
'sums.r' 'theta.r' 'to_objective.r' 'trace.r' 'twomoments.r'

Imports: Matrix, matrixcalc, expm, methods
'coerce.r' 'det.r' 'diag.r' 'eigen.r' 'elwise.r'
'madness_pkg.r' 'matwise.r' 'max.r' 'norm.r' 'numderiv.r'
'reshape.r' 'solve.r' 'sum.r' 'sums.r' 'theta.r'
'to_objective.r' 'trace.r' 'twomoments.r' 'vcov.r' 'vec.r'