-
Notifications
You must be signed in to change notification settings - Fork 5
/
DESCRIPTION
76 lines (76 loc) · 2.11 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
Package: TrialEmulation
Title: Causal Analysis of Observational Time-to-Event Data
Version: 0.0.3.11
Authors@R: c(
person("Roonak", "Rezvani", , "roonak.r74@gmail.com", role = "aut",
comment = c(ORCID = "0000-0001-5580-5058", "Original package author")),
person("Isaac", "Gravestock", , "isaac.gravestock@roche.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0003-0283-2065")),
person("Li", "Su", , "li.su@mrc-bsu.cam.ac.uk", role = "aut"),
person("Medical Research Council (MRC)", role = "fnd"),
person("F. Hoffmann-La Roche AG", role = c("cph", "fnd"))
)
Description: Implements target trial emulation methods to apply randomized
clinical trial design and analysis in an observational setting. Using
marginal structural models, it can estimate intention-to-treat and
per-protocol effects in emulated trials using electronic health
records. A description and application of the method can be found in
Danaei et al (2013) <doi:10.1177/0962280211403603>.
License: Apache License (>= 2)
URL: https://causal-lda.github.io/TrialEmulation/,
https://github.com/Causal-LDA/TrialEmulation
BugReports: https://github.com/Causal-LDA/TrialEmulation/issues
Depends:
R (>= 3.5.0)
Imports:
broom (>= 0.7.10),
checkmate,
data.table (>= 1.9.8),
duckdb,
formula.tools,
methods,
mvtnorm,
parglm,
Rcpp,
sandwich
Suggests:
knitr,
rmarkdown,
testthat (>= 3.0.0),
withr
LinkingTo:
Rcpp
VignetteBuilder:
knitr
Config/testthat/edition: 3
Encoding: UTF-8
Language: en-GB
LazyData: true
LazyDataCompression: xz
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1.9000
Collate:
'RcppExports.R'
'calculate_weights.R'
'generics.R'
'te_datastore.R'
'classes.R'
'data.R'
'data_extension.R'
'data_manipulation.R'
'data_preparation.R'
'data_simulation.R'
'data_utils.R'
'expand_trials.R'
'initiators.R'
'lr_utils.R'
'modelling.R'
'package.R'
'predict.R'
'robust.R'
'sampling.R'
'te_data.R'
'te_weights.R'
'trial_sequence.R'
'utils.R'
'weighting.R'