Bindings for hierarchical regression models for use with the
'parsnip' package. Models include longitudinal generalized linear models
(Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect
models (Pinheiro and Bates) <doi:10.1007/978-1-4419-0318-1_1>.
dplyr, lme4, purrr, rlang, tibble, withr
contrast, covr, gee, knitr, nlme, rmarkdown, spelling,
testthat, tidymodels

c(
person("Max", "Kuhn", , "max@rstudio.com", role = c("aut"),
comment = c(ORCID = "0000-0003-2402-136X")),
person("Hannah", "Frick", , "hannah@rstudio.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-6049-5258")),
person("RStudio", role = c("cph", "fnd"))
)
Bindings for hierarchical regression models for use with the
'parsnip' package. Models include longitudinal generalized linear
models (Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and
mixed-effect models (Pinheiro and Bates)
<doi:10.1007/978-1-4419-0318-1_1>.
covr, gee, knitr, nlme, rmarkdown, spelling, testthat,
tidymodels
Max Kuhn [aut] (<https://orcid.org/0000-0003-2402-136X>),
Hannah Frick [aut, cre] (<https://orcid.org/0000-0002-6049-5258>),
RStudio [cph, fnd]

covr, gee, ggplot2, knitr, nlme, rmarkdown, spelling,
testthat, tidymodels

Provides install functions of other languages
such as 'java', 'python' for windows and macos.
sys, fs, usethis, zip, askpass, xml2, rvest, rstudioapi

sys, fs, usethis, askpass, xml2, rvest, rstudioapi

Provides install functions of other languages
such as 'java', 'python' for Windows and MacOS.
(Trying to Others.)

Provides install functions of other languages
such as 'java', 'python'.

Capture-Mark-Recapture Analysis using Multiple Non-Invasive
Marks
parallel, statmod, Matrix, RMark, coda, methods, Brobdingnag,
mvtnorm
c(person("Brett T.", "McClintock", email = "brett.mcclintock@noaa.gov",role = c("aut", "cre")),person("Acho", "Arnold",role = c("ctb","cph"), comment = "C original matrix library, https://github.com/najela/matrix.h"),person("Barry", "Brown",role = "ctb", comment = "Fortran original ranlib library"),person("James", "Lovato",role = "ctb", comment = "Fortran original ranlib library"),person("John", "Burkardt",role = "ctb", comment = "C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib"),person("Cleve", "Moler",role = "ctb", comment = "C original linpack library, http://www.kkant.net/geist/ranlib/"))
Capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo.
Brett T. McClintock [aut, cre],
Acho Arnold [ctb, cph] (C original matrix library,
https://github.com/najela/matrix.h),
Barry Brown [ctb] (Fortran original ranlib library),
James Lovato [ctb] (Fortran original ranlib library),
John Burkardt [ctb] (C original ranlib library,
http://people.sc.fsu.edu/~jburkardt/c_src/ranlib),
Cleve Moler [ctb] (C original linpack library,
http://www.kkant.net/geist/ranlib/)