diff --git a/README.Rmd b/README.Rmd index 2d84b6c..e6881bd 100644 --- a/README.Rmd +++ b/README.Rmd @@ -37,6 +37,12 @@ a mindfulness intervention study. ## Installation +You can install the stable [CRAN version](https://cran.r-project.org/package=multimedia) with: + +``` r +install.packages("multimedia") +``` + You can install the development version from [GitHub](https://github.com/krisrs1128/multimedia) with: diff --git a/README.md b/README.md index 8d15dc1..664b16d 100644 --- a/README.md +++ b/README.md @@ -31,6 +31,11 @@ and survey responses in a mindfulness intervention study. ## Installation +You can install the stable [CRAN +version](https://cran.r-project.org/package=multimedia) with: + + install.packages("multimedia") + You can install the development version from [GitHub](https://github.com/krisrs1128/multimedia) with: @@ -106,22 +111,16 @@ are identical for the two indirect settings. direct_effect(model, exper) -
## outcome indirect_setting
-## 1 PHQ Control
-## 2 PHQ Treatment
-## contrast direct_effect
-## 1 Control - Treatment 0.09314376
-## 2 Control - Treatment 0.09314376
+## outcome indirect_setting contrast direct_effect
+## 1 PHQ Control Control - Treatment 0.09314376
+## 2 PHQ Treatment Control - Treatment 0.09314376
indirect_overall(model, exper)
-## outcome direct_setting contrast
-## 1 PHQ Control Control - Treatment
-## 2 PHQ Treatment Control - Treatment
-## indirect_effect
-## 1 0.02256029
-## 2 0.02256029
+## outcome direct_setting contrast indirect_effect
+## 1 PHQ Control Control - Treatment 0.02256029
+## 2 PHQ Treatment Control - Treatment 0.02256029
The package also includes helpers to visualize and perform inference on
@@ -146,12 +145,9 @@ model, which correctly recovers that the direct effects are 0.
estimate(exper) |>
direct_effect()
-## outcome indirect_setting
-## 1 PHQ Control
-## 2 PHQ Treatment
-## contrast direct_effect
-## 1 Control - Treatment 0
-## 2 Control - Treatment 0
+## outcome indirect_setting contrast direct_effect
+## 1 PHQ Control Control - Treatment 0
+## 2 PHQ Treatment Control - Treatment 0
## Help
@@ -177,137 +173,28 @@ We welcome questions and comments about the package either through
## tzcode source: internal
##
## attached base packages:
-## [1] stats graphics grDevices utils
-## [5] datasets methods base
+## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
-## [1] ggplot2_3.5.1 multimedia_0.2.0
-## [3] tidyselect_1.2.1 ranger_0.16.0
-## [5] glmnetUtils_1.1.9 brms_2.21.0
-## [7] Rcpp_1.0.13
+## [1] ggplot2_3.5.1 multimedia_0.2.0 tidyselect_1.2.1 ranger_0.16.0 glmnetUtils_1.1.9 brms_2.21.0 Rcpp_1.0.13
##
## loaded via a namespace (and not attached):
-## [1] gridExtra_2.3
-## [2] inline_0.3.19
-## [3] permute_0.9-7
-## [4] sandwich_3.1-0
-## [5] rlang_1.1.4
-## [6] magrittr_2.0.3
-## [7] multcomp_1.4-26
-## [8] ade4_1.7-22
-## [9] matrixStats_1.4.1
-## [10] compiler_4.4.1
-## [11] mgcv_1.9-1
-## [12] loo_2.8.0
-## [13] vctrs_0.6.5
-## [14] reshape2_1.4.4
-## [15] stringr_1.5.1
-## [16] pkgconfig_2.0.3
-## [17] shape_1.4.6.1
-## [18] crayon_1.5.3
-## [19] fastmap_1.2.0
-## [20] backports_1.5.0
-## [21] XVector_0.45.0
-## [22] labeling_0.4.3
-## [23] utf8_1.2.4
-## [24] rmarkdown_2.28
-## [25] UCSC.utils_1.1.0
-## [26] purrr_1.0.2
-## [27] xfun_0.47
-## [28] glmnet_4.1-8
-## [29] zlibbioc_1.51.1
-## [30] GenomeInfoDb_1.41.1
-## [31] jsonlite_1.8.8
-## [32] progress_1.2.3
-## [33] biomformat_1.33.0
-## [34] highr_0.11
-## [35] rhdf5filters_1.17.0
-## [36] DelayedArray_0.31.11
-## [37] Rhdf5lib_1.27.0
-## [38] prettyunits_1.2.0
-## [39] cluster_2.1.6
-## [40] parallel_4.4.1
-## [41] R6_2.5.1
-## [42] stringi_1.8.4
-## [43] StanHeaders_2.32.10
-## [44] GenomicRanges_1.57.1
-## [45] estimability_1.5.1
-## [46] rstan_2.32.6
-## [47] SummarizedExperiment_1.35.1
-## [48] iterators_1.0.14
-## [49] knitr_1.48
-## [50] zoo_1.8-12
-## [51] IRanges_2.39.2
-## [52] bayesplot_1.11.1
-## [53] igraph_2.0.3
-## [54] Matrix_1.7-0
-## [55] splines_4.4.1
-## [56] abind_1.4-5
-## [57] yaml_2.3.10
-## [58] vegan_2.6-8
-## [59] codetools_0.2-20
-## [60] curl_5.2.2
-## [61] pkgbuild_1.4.4
-## [62] lattice_0.22-6
-## [63] tibble_3.2.1
-## [64] plyr_1.8.9
-## [65] withr_3.0.1
-## [66] Biobase_2.65.1
-## [67] bridgesampling_1.1-2
-## [68] posterior_1.6.0
-## [69] coda_0.19-4.1
-## [70] evaluate_0.24.0
-## [71] survival_3.7-0
-## [72] RcppParallel_5.1.9
-## [73] Biostrings_2.73.1
-## [74] pillar_1.9.0
-## [75] phyloseq_1.49.0
-## [76] MatrixGenerics_1.17.0
-## [77] tensorA_0.36.2.1
-## [78] checkmate_2.3.2
-## [79] foreach_1.5.2
-## [80] stats4_4.4.1
-## [81] distributional_0.4.0
-## [82] generics_0.1.3
-## [83] hms_1.1.3
-## [84] S4Vectors_0.43.2
-## [85] rstantools_2.4.0
-## [86] munsell_0.5.1
-## [87] scales_1.3.0
-## [88] xtable_1.8-4
-## [89] glue_1.7.0
-## [90] emmeans_1.10.4
-## [91] tools_4.4.1
-## [92] data.table_1.16.0
-## [93] mvtnorm_1.3-1
-## [94] tidygraph_1.3.1
-## [95] rhdf5_2.49.0
-## [96] grid_4.4.1
-## [97] tidyr_1.3.1
-## [98] ape_5.8
-## [99] QuickJSR_1.3.1
-## [100] miniLNM_0.1.0
-## [101] colorspace_2.1-1
-## [102] nlme_3.1-166
-## [103] formula.tools_1.7.1
-## [104] GenomeInfoDbData_1.2.12
-## [105] patchwork_1.2.0
-## [106] cli_3.6.3
-## [107] fansi_1.0.6
-## [108] S4Arrays_1.5.7
-## [109] Brobdingnag_1.2-9
-## [110] dplyr_1.1.4
-## [111] V8_5.0.0
-## [112] gtable_0.3.5
-## [113] digest_0.6.37
-## [114] operator.tools_1.6.3
-## [115] BiocGenerics_0.51.1
-## [116] SparseArray_1.5.31
-## [117] TH.data_1.1-2
-## [118] farver_2.1.2
-## [119] multtest_2.61.0
-## [120] htmltools_0.5.8.1
-## [121] lifecycle_1.0.4
-## [122] httr_1.4.7
-## [123] MASS_7.3-61
+## [1] tensorA_0.36.2.1 jsonlite_1.8.8 shape_1.4.6.1 magrittr_2.0.3 TH.data_1.1-2 estimability_1.5.1 farver_2.1.2 rmarkdown_2.28
+## [9] fs_1.6.4 zlibbioc_1.51.1 vctrs_0.6.5 multtest_2.61.0 memoise_2.0.1 progress_1.2.3 htmltools_0.5.8.1 S4Arrays_1.5.7
+## [17] usethis_3.0.0 distributional_0.5.0 curl_5.2.2 Rhdf5lib_1.27.0 SparseArray_1.5.31 rhdf5_2.49.0 StanHeaders_2.32.10 htmlwidgets_1.6.4
+## [25] plyr_1.8.9 sandwich_3.1-0 emmeans_1.10.4 zoo_1.8-12 cachem_1.1.0 igraph_2.0.3 mime_0.12 lifecycle_1.0.4
+## [33] iterators_1.0.14 pkgconfig_2.0.3 Matrix_1.7-0 R6_2.5.1 fastmap_1.2.0 GenomeInfoDbData_1.2.12 MatrixGenerics_1.17.0 shiny_1.9.1
+## [41] digest_0.6.37 colorspace_2.1-1 patchwork_1.3.0 S4Vectors_0.43.2 pkgload_1.4.0 miniLNM_0.1.0 GenomicRanges_1.57.1 vegan_2.6-8
+## [49] labeling_0.4.3 fansi_1.0.6 mgcv_1.9-1 httr_1.4.7 abind_1.4-8 compiler_4.4.1 remotes_2.5.0 withr_3.0.1
+## [57] backports_1.5.0 inline_0.3.19 highr_0.11 QuickJSR_1.3.1 pkgbuild_1.4.4 MASS_7.3-61 DelayedArray_0.31.11 sessioninfo_1.2.2
+## [65] biomformat_1.33.0 permute_0.9-7 loo_2.8.0 tools_4.4.1 ape_5.8 httpuv_1.6.15 glue_1.7.0 rhdf5filters_1.17.0
+## [73] nlme_3.1-166 promises_1.3.0 grid_4.4.1 checkmate_2.3.2 cluster_2.1.6 reshape2_1.4.4 ade4_1.7-22 generics_0.1.3
+## [81] operator.tools_1.6.3 gtable_0.3.5 formula.tools_1.7.1 tidyr_1.3.1 hms_1.1.3 data.table_1.16.0 tidygraph_1.3.1 utf8_1.2.4
+## [89] XVector_0.45.0 BiocGenerics_0.51.1 foreach_1.5.2 pillar_1.9.0 stringr_1.5.1 posterior_1.6.0 later_1.3.2 splines_4.4.1
+## [97] dplyr_1.1.4 lattice_0.22-6 survival_3.7-0 Biostrings_2.73.1 miniUI_0.1.1.1 knitr_1.48 gridExtra_2.3 V8_5.0.0
+## [105] phyloseq_1.49.0 IRanges_2.39.2 SummarizedExperiment_1.35.1 stats4_4.4.1 xfun_0.47 bridgesampling_1.1-2 Biobase_2.65.1 devtools_2.4.5
+## [113] matrixStats_1.4.1 rstan_2.32.6 stringi_1.8.4 UCSC.utils_1.1.0 yaml_2.3.10 evaluate_0.24.0 codetools_0.2-20 tibble_3.2.1
+## [121] cli_3.6.3 RcppParallel_5.1.9 xtable_1.8-4 munsell_0.5.1 GenomeInfoDb_1.41.1 coda_0.19-4.1 parallel_4.4.1 rstantools_2.4.0
+## [129] ellipsis_0.3.2 prettyunits_1.2.0 profvis_0.3.8 urlchecker_1.0.1 bayesplot_1.11.1 Brobdingnag_1.2-9 glmnet_4.1-8 mvtnorm_1.3-1
+## [137] scales_1.3.0 purrr_1.0.2 crayon_1.5.3 rlang_1.1.4 multcomp_1.4-26