Suhai (Timothy) Liu <suhai_tim_liu@hotmail.com> based on
multiplicative updates (Lee and Sung 2001) and alternating
least squares algorithm; Lars Kai Hansen's nnmf_als Matlab
implementation; Torsten Hothorn's Moore-Penrose inverse
function
Non-negative Matrix Factorization (default - nnmf_mm:
multiplicative updates. Lee and Sung 2001; optional - nnmf_als:
alternating least squares)

Normalized Mutual Information of Community Structure in Network
Calculates the normalized mutual information (NMI) of two community structures in network analysis.

Provides remote access to daily mortality, weather, and air pollution data from the National Morbidity, Mortality, and Air Pollution Study for 108 U.S. cities (1987--2000); data are obtained from the Internet-based Health and Air Pollution Surveillance System (iHAPSS)
GNU GPL (version 2 or later); see the file COPYING for details

Provides remote access to daily mortality, weather, and
air pollution data from the National Morbidity, Mortality, and
Air Pollution Study for 108 U.S. cities (1987--2000); data are
obtained from the Internet-based Health and Air Pollution
Surveillance System (iHAPSS)

Inverse Probability Weighting under Non-Monotone Missing
c(person(given = "Andrew",
family = "Ying",
role = c("aut", "cre"),
email = "aying9339@gmail.com"),
person(given = "Baoluo",
family = "Sun",
role = "ctb"))
We fit inverse probability weighting estimator and the augmented inverse probability weighting for non-monotone missing at random data.
Andrew Ying [aut, cre],
Baoluo Sun [ctb]

Numerical Methods and Optimization in Finance
person("Enrico", "Schumann", email =
"enricoschumann@yahoo.de")
Functions, examples and data from the book 'Numerical
Methods and Optimization in Finance' by M. Gilli, D. Maringer
and E. Schumann. The package contains, in particular, several
implementations of optimisation heuristics (for instance,
Differential Evolution, Genetic Algorithms and Threshold
Accepting).

Functions, examples and data from the book 'Numerical Methods and Optimization in Finance' by M. Gilli, D. Maringer and E. Schumann. The package contains, in particular, several implementations of optimisation heuristics (for instance, Differential Evolution, Genetic Algorithms and Threshold Accepting).