mM: mM

GITHUB
t-arae/prtclmisc:

R: mM
mMR Documentation
mM

mm: mm

CRAN
QuantumOps: Performs Common Linear Algebra Operations Used in Quantum Computing and Implements Quantum Algorithms

R: mm
mmR Documentation
mm

mm: MM Algorithm for M-HPCA

GITHUB
dsenturk/mhpca: Multilevel Hybrid Principal Components Analysis

R: MM Algorithm for M-HPCA
mmR Documentation
MM Algorithm for M-HPCA

free: Objects of class 'free'

CRAN
freegroup: The Free Group

R: Objects of class 'free'
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

free: Free from alignment

CRAN
ggalign: A 'ggplot2' Extension for Composable Visualization

R: Free from alignment
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML

free: Free a plot from various alignments

CRAN
patchwork: The Composer of Plots

R: Free a plot from various alignments
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function

mms: Function to compute a record's Maximal Matching Set (MMS)...

GITHUB
resteorts/blink: Record Linkage for Empirically Motivated Priors

R: Function to compute a record's Maximal Matching Set (MMS)...
const macros = { "\\R": "\\textsf{R}", "\\code

mms: Function to compute a record's Maximal Matching Set (MMS)...

GITHUB
cleanzr/blink: Record Linkage for Empirically Motivated Priors

R: Function to compute a record's Maximal Matching Set (MMS)...
const macros = { "\\R": "\\textsf{R}", "\\code

mm: mm calculates the predicted Michaelis-Menton length-at-age

GITHUB
haddonm/MQMF: Modelling and Quantitative Methods in Fisheries

R: mm calculates the predicted Michaelis-Menton length-at-age
const macros = { "\\R": "\\textsf{R}", "\\code

mm: mm calculates the predicted Michaelis-Menton length-at-age

CRAN
MQMF: Modelling and Quantitative Methods in Fisheries

R: mm calculates the predicted Michaelis-Menton length-at-age
const macros = { "\\R": "\\textsf{R}", "\\code

mms: Function to compute a record's Maximal Matching Set (MMS)...

CRAN
blink: Record Linkage for Empirically Motivated Priors

R: Function to compute a record's Maximal Matching Set (MMS)...
mmsR Documentation
Function to compute a record's

free: Flexible Regularized Estimating Equations

CRAN
free: Flexible Regularized Estimating Equations

Package: free
Type: Package
Title: Flexible Regularized Estimating Equations

R/free-package.R
man/free-package.Rd

free: Release the specified object and clean up its memory usage

GITHUB
omegahat/XML: Tools for Parsing and Generating XML Within R and S-Plus

, for an XMLInternalDocument.
We cannot free it with a finalizer in all cases as we may have
a reference to a node

MM: The Multiplicative Multinomial Distribution

CRAN
MM: The Multiplicative Multinomial Distribution

Package: MM
Type: Package
Title: The Multiplicative Multinomial Distribution

man/MM-internal.Rd
man/MM-package.Rd

MMS: Fixed Effects Selection in Linear Mixed Models

CRAN
MMS: Fixed Effects Selection in Linear Mixed Models

Package: MMS
Type: Package
Title: Fixed Effects Selection in Linear Mixed Models

man/MMS-package.Rd

mm: Find the minimum and maximum of a vector

CRAN
compactr: Creates empty plots with compact axis notation

The function mm() finds the minimum and maximum of
a vector. It is intended for use with eplot() to
properly scale

mm: Find the minimum and maximum of a vector

GITHUB
carlislerainey/compactr: Creates empty plots with compact axis notation

The function mm() finds the minimum and maximum of a vector. It is
intended for use with eplot() to properly scale

mm: Matrix Multiplication

GITHUB
stevecondylios/mmr: Matrix Multiplication on Data.frames

Usage
mm(x, y, return_matrix)
"%mm%"(x, y, return_matrix)

Free: Explicitly garbage collect a native object

GITHUB
omegahat/RAutoGenRunTime: Run-time support for automated interfaces to R

Description
This function allows the R programmer to explicitly
release a native C/C++ object and free the memory associate

mm: Marginal Means

GITHUB
leeper/cregg: Simple Conjoint Tidying, Analysis, and Visualization

R: Marginal Means
mmR Documentation
Marginal Means