dege857.r-universe.dev

[dege857] ggscidca 0.2.8

dege857@163.com (Qiang Liu) — Tue, 16 Dec 2025 03:40:02 GMT

Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The 'ggscidca' package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) .

[dege857] scitb 0.2.2

dege857@163.com (Qiang Liu) — Wed, 27 Aug 2025 02:40:02 GMT

You can use the functions provided by the package to make various statistical tables, such as baseline data tables. Creates 'Table 1', i.e., a description of the baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. This method was described by Mary L McHugh (2013) .

[dege857] ggrcs 0.4.3

dege857@163.com (Qiang LIU) — Wed, 12 Feb 2025 12:00:11 GMT

You can use this function to easily draw a combined histogram and restricted cubic spline. The function draws the graph through 'ggplot2'. RCS fitting requires the use of the rcs() function of the 'rms' package. Can fit cox regression, logistic regression. This method was described by Per Kragh (2003) .

[dege857] pm3 0.2.0

dege857@163.com (Qiang LIU) — Tue, 23 Jul 2024 02:45:38 GMT

You can use this program for 3 sets of categorical data for propensity score matching. Assume that the data has 3 different categorical variables. You can use it to perform propensity matching of baseline indicator groupings. The matching will make the differences in the baseline data smaller. This method was described by Alvaro Fuentes (2022) .