(PPM). The Dirichlet process mixture is currently the only
available member of this class. These methods search for the
maximum posterior (MAP) estimate for the data partition in a

Title: Profile R Code and Visualize with 'Pprof'
Description: Like similar profiling tools,
the 'proffer' package automatically detects
The distinguishing feature of 'proffer' is its utilization of
'pprof', which supplies interactive visualizations
that are efficient and easy to interpret.
Behind the scenes, the 'profile' package converts
native 'Rprof()' data to a protocol buffer
To learn about the implementations and methodologies of
'pprof', 'profile', and protocol buffers,
Imports: processx, profile, RProtoBuf, utils

native Rprof() data to a protocol buffer
Imports: cli, processx, profile, RProtoBuf, utils, withr

Title: Read, Manipulate, and Write Profiler Data
Description: Defines a data structure for profiler data, and methods to read and
write from the 'Rprof' and 'pprof' file formats.
Collate: 'api.R' 'compat-purrr.R' 'pprof-from-ds.R' 'rprof-read.R'

Suggests: dm, DiagrammeR, DiagrammeRsvg, RProtoBuf, testthat

Imports: methods, rlang, tibble (>= 3.0.0), vctrs, withr
Suggests: covr, dm, DiagrammeR, DiagrammeRsvg, RProtoBuf, testthat

Title: Tools for profiling inference functions for various model classes
Description: profileModel provides tools that can be used to calculate, evaluate, plot and use for inference the profiles of *arbitrary* inference functions for *arbitrary* 'glm'-like fitted models with linear predictors.
Packaged: Sun Feb 24 17:25:19 2008; yiannis

Packaged: Fri Mar 14 22:08:06 2008; yiannis

Packaged: Sun Jul 27 20:32:42 2008; yiannis

Packaged: Fri Nov 21 00:01:49 2008; yiannis

Packaged: Wed Nov 26 00:05:54 2008; yiannis

Title: Tools for profiling inference functions for various model
Description: profileModel provides tools that can be used to calculate,
evaluate, plot and use for inference the profiles of
*arbitrary* inference functions for *arbitrary* 'glm'-like

Title: Profiling Inference Functions for Various Model Classes
Description: Provides tools that can be used to calculate, evaluate, plot and use for inference the profiles of *arbitrary* inference functions for *arbitrary* 'glm'-like fitted models with linear predictors. More information on the methods that are implemented can be found in Kosmidis (2008) <https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf>.