c(person("Javier", "Tabima", email = "tabimaj@oregonstate.edu", role = c("aut", "cre")),person(c("Niklaus", "J."), "Grunwald", role = "ths", email =
"grunwaln@science.oregonstate.edu"))
Predicts cytoplasmic effector proteins using genomic data by searching for motifs of interest using regular expression searches and hidden Markov models (HMM) based in Haas et al. (2009) <doi:10.1038/nature08358>.
seqinr (>= 3.3.6), ggplot2 (>= 2.2.1), shiny, reshape2, utils,
viridis
Javier Tabima [aut, cre],
Niklaus J. Grunwald [ths]

seqinr (>= 3.3.6), ggplot2 (>= 2.2.1), shiny, reshape2, utils,
rmarkdown, viridis

Effect Displays for Linear and Generalized Linear Models
John Fox <jfox@mcmaster.ca>. I am grateful to Robert Andersen, David Firth, and
Michael Friendly, for various suggestions.
Graphical and tabular effect displays, e.g., of interactions, for linear
and generalised linear models.

Effect Displays for Linear, Generalized Linear, Multinomial-Logit, and Proportional-Odds Logit Models
John Fox <jfox@mcmaster.ca> and Jangman Hong. We are grateful to Robert Andersen, David Firth, and
Michael Friendly, for various suggestions.
Graphical and tabular effect displays, e.g., of interactions, for linear
generalized linear, multinomial-logit, and proportional-odds logit models.

Effect Displays for Linear, Generalized Linear,
Multinomial-Logit, and Proportional-Odds Logit Models
John Fox <jfox@mcmaster.ca> and Jangman Hong. We are grateful
to Robert Andersen, David Firth, and Michael Friendly, for
various suggestions.
R (>= 2.4.0), lattice, grid, MASS, nnet, colorspace
Graphical and tabular effect displays, e.g., of
interactions, for linear generalized linear, multinomial-logit,
and proportional-odds logit models.

R (>= 2.4.0), lattice, grid, nlme, MASS, nnet, colorspace

John Fox <jfox@mcmaster.ca> and Jangman Hong. We are grateful
to Robert Andersen, David Firth, and Michael Friendly, for
various suggestions, and to Ian Fellows for contributing
patches.

Effect Displays for Linear, Generalized Linear,
Multinomial-Logit, Proportional-Odds Logit Models and
mixed-effects models
John Fox <jfox@mcmaster.ca>, Sanford Weisberg, and Jangman
Hong. We are grateful to Robert Andersen, David Firth, and
Michael Friendly, for various suggestions.
R (>= 2.10), lattice, grid, nlme, MASS, nnet, colorspace