It allows to estimate a dose-response relation from single and multiple summarized data. The trend estimation takes into account the correlation
among log relative risks and use it to efficiently estimate the dose-response relation for each study. The results are then combined according to principles
of multivariate random effects meta-analysis to obtain a pooled functional relation.

It allows to estimate a dose-response relation from single and multiple summarized data. The trend estimation takes into account the correlation
among log relative risks and use it to efficiently estimate the dose-response relation for each study included in the analysis. The results are then combined according to principles
of multivariate random effects meta-analysis to obtain a pooled functional relation.

It estimates a dose-response relation from either a single or
multiple summarized data. The trend estimation takes into account the
correlation among sets of log relative risks and use it to efficiently
estimate the dose-response relation. To obtain a pooled functional
relation, the study-specific trends are combined according to principles of
multivariate random-effects meta-analysis.

It consists of a collection of
functions to estimate dose-response relations from summarized dose-response
data and to combine them according to principles of (multivariate)
random-effects model.

person("Alessio", "Crippa", email = "alessio.crippa@ki.se",
role = c("aut", "cre"))
Estimates dose-response relations from summarized dose-response
data and to combines them according to principles of (multivariate)
random-effects models.

A small package containing helper utilities for creating
function for computing statistics.

'compose.R' 'dostats.R' 'wargs.R' 'onarg.R' 'widedf.R'
'collect.R' 'consecutive.R' 'T.R'

'compose.R' 'dostats.R' 'wargs.R' 'onarg.R' 'consecutive.R'
'T.R' 'utils.R'

A small package containing helper utilities for creating function
for computing statistics.
'compose.R' 'dostats.R' 'wargs.R' 'onarg.R' 'collect.R'
'consecutive.R' 'T.R' 'formula.R' 'hdf.R' 'pval.R' 'utils.R'
'capply.R'