'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)
Suggests: covr, gee, knitr, nlme, rmarkdown, spelling, testthat,

Suggests: covr, gee, ggplot2, knitr, nlme, rmarkdown, spelling,

Title: Gentle Language Installer for R User
Description: Provides install functions of other languages
such as 'java', 'python' for windows and macos.
Imports: sys, fs, usethis, zip, askpass, xml2, rvest, rstudioapi
Packaged: 2019-12-14 08:23:30 UTC; mrchypark

Packaged: 2020-01-31 07:01:25 UTC; sktelecom

Imports: sys, fs, usethis, askpass, xml2, rvest, rstudioapi
Packaged: 2021-11-28 19:22:44 UTC; mrchypark

such as 'java', 'python' for Windows and MacOS.
Imports: sys, rappdirs, usethis, askpass
Packaged: 2022-03-07 08:33:10 UTC; mrchypark

Packaged: 2022-08-12 16:32:22 UTC; mrchypark

Description: A basic method for fitting and testing multivariate linear
models, including stabilized test procedures by Laeuter et.al.

Title: Fitting and Testing Multivariate Linear Models

Title: Capture-Mark-Recapture Analysis using Multiple Non-Invasive
Imports: parallel, statmod, Matrix, RMark, coda, methods, Brobdingnag,
Authors@R: 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/"))
Description: 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.
Packaged: 2015-04-16 19:16:16 UTC; Brett McClintock
Acho Arnold [ctb, cph] (C original matrix library,
Barry Brown [ctb] (Fortran original ranlib library),
James Lovato [ctb] (Fortran original ranlib library),
John Burkardt [ctb] (C original ranlib library,
Cleve Moler [ctb] (C original linpack library,
Maintainer: Brett T. McClintock <brett.mcclintock@noaa.gov>