New package sensortowerR with initial version 0.9.4
Package: sensortowerR
Title: Interface to 'Sensor Tower' Mobile App Intelligence API
Version: 0.9.4
Description: Interface to the 'Sensor Tower' API <https://app.sensortower.com/api/docs/app_analysis> for mobile app analytics and market intelligence. Provides functions to retrieve app metadata, publisher information, download and revenue estimates, active user metrics, category rankings, and market trends. The package includes data processing utilities to clean and aggregate metrics across platforms, automatic app name resolution, and tools for generating professional analytics dashboards. Supports both iOS and Android app ecosystems with unified data structures for cross-platform analysis.
License: MIT + file LICENSE
Encoding: UTF-8
Imports: dplyr, glue, httr, httr2, jsonlite, lubridate, openssl, purrr, rlang, stats, stringr, tibble, tidyr, utils
Suggests: gt, gtExtras, knitr, pkgbuild, rcmdcheck, rmarkdown, rhub, testthat (>= 3.0.0)
VignetteBuilder: knitr
Author: Phillip Black [aut, cre]
Maintainer: Phillip Black <pblack@gameeconomistconsulting.com>
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2025-12-19 15:23:46 UTC; phillip
Repository: CRAN
Date/Publication: 2025-12-30 19:20:02 UTC

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New package plavaan with initial version 0.0.1
Package: plavaan
Title: Penalized Estimation for Latent Variable Models with 'lavaan'
Version: 0.0.1
Description: Extends the popular 'lavaan' package by adding penalized estimation capabilities. It supports penalty on individual parameters as well as the difference between parameters.
License: MIT + file LICENSE
Encoding: UTF-8
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Imports: lavaan, numDeriv
URL: https://marklhc.github.io/plavaan/, https://github.com/marklhc/plavaan
BugReports: https://github.com/marklhc/plavaan/issues
NeedsCompilation: no
Packaged: 2025-12-19 06:30:15 UTC; marklai
Author: Hok Chio Lai [aut, cre]
Maintainer: Hok Chio (Mark) Lai <marklhc@gmail.com>
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-12-30 19:00:02 UTC

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New package DRsurvCRT with initial version 0.0.1
Package: DRsurvCRT
Title: Doubly-Robust Estimation for Survival Outcomes in Cluster-Randomized Trials
Version: 0.0.1
Description: Cluster-randomized trials (CRTs) assign treatment to groups rather than individuals, so valid analyses must distinguish cluster-level and individual-level effects and define estimands within a potential-outcomes framework. This package supports right-censored survival outcomes for both single-state (binary) and multi-state settings. For single-state outcomes, it provides estimands based on stage-specific survival contrasts (SPCE) and restricted mean survival time (RMST). For multi-state outcomes, it provides SPCE as well as a generalized win-based restricted mean time-in-favor estimand (RMT-IF). The package implements doubly robust estimators that accommodate covariate-dependent censoring and remain consistent if either the outcome model or the censoring model is correctly specified. Users can choose marginal Cox or gamma-frailty Cox working models for nuisance estimation, and inference is supported via leave-one-cluster-out jackknife variance and confidence interval estimation. Method [...truncated...]
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: Rcpp, frailtyEM, survival, ggplot2, pracma, abind
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2025-12-19 03:14:10 UTC; fancy
Author: Xi Fang [aut, cre], Fan Li [aut]
Maintainer: Xi Fang <x.fang@yale.edu>
Repository: CRAN
Date/Publication: 2025-12-30 19:00:06 UTC

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