Shiny Application of Medical and Pharmaceutical Statistics
The web-based statistical fundamentals, tests, and models, aiming to facilitate researchers to analyze medical, pharmaceutical and genomic data.
c(
person("Yi", "Zhou", email = "zhou-y@phs.osaka-u.ac.jp",
role = c("cre", "aut"), comment = c(ORCID = "0000-0001-9254-324")))
DescTools, ROCR, Rmisc, ggplot2, ggfortify, gridExtra,
pastecs, plotROC, psych, reshape, stargazer, shiny, survminer,
survival, xtable, spls, pls

Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models
c(person(given = "Ting", family = "Wang",
role = c("aut", "cre"),
email = "twb8d@mail.missouri.edu"),
person(given = "Edgar", family = "Merkle",
role  = c("aut"),
email = "merklee@missouri.edu")
)
Compute analytic case-wise and cluster-wise derivative for
mixed effects models with respect to fixed effects parameter, random effect (co)variances,
and residual variance.
methods, stats, utils, sandwich, Matrix, lme4, nonnest2
Ting Wang [aut, cre],
Edgar Merkle [aut]

Compute analytic case-wise and cluster-wise derivatives for mixed effects models with respect to fixed effect parameters, random effect (co)variances, and residual variances.
Ting Wang [aut, cre], Edgar Merkle [aut]

R (>= 3.2.3), lme4 (>= 1.1-10), stats, methods, nonnest2,
sandwich

c(person(given = "Ting", family = "Wang",
role = c("aut", "cre"),
email = "twb8d@mail.missouri.edu"),
person(given = "Edgar", family = "Merkle",
role  = "aut",
email = "merklee@missouri.edu",
comment = c(ORCID = "0000-0001-7158-0653")),
person(given = "Yves", family = "Rosseel",
role = "ctb")
)
Compute case-wise and cluster-wise derivative for
mixed effects models with respect to fixed effects parameter, random effect (co)variances,
and residual variance.
R (>= 3.2.3), lme4 (>= 1.1-10), stats, methods, nonnest2,
sandwich, lavaan
Ting Wang [aut, cre],
Edgar Merkle [aut] (<https://orcid.org/0000-0001-7158-0653>),
Yves Rosseel [ctb]

Compute case-wise and cluster-wise derivative for mixed effects models with respect to fixed effects parameter, random effect (co)variances, and residual variance. This material is partially based on work supported by the National Science Foundation under Grant Number 1460719.