Package: jsmodule 2.0.1

AI Assistant Module | Overview | Quick Start | 1. API Key Setup | 2. Basic Usage | Option A: Use with jsBasicGadget | Option B: Standalone Shiny App | Features | Code Generation | Multiple AI Providers | Export Options | Safety Features | Important Notes | Data Access | Allowed Packages | Variable Structure | API Key Resolution Order | API Configuration Modes | show_api_config = TRUE (Default) | show_api_config = FALSE | Advanced Usage | Custom Variable Structure | Analysis Context | Production Deployment | Troubleshooting | API Key Not Found | Code Execution Errors | Summary Results Too Fragmented | Text Output Shows Escape Sequences | Best Practices | 1. Be Specific in Questions | 2. Review Generated Code | 3. Provide Context | 4. Use Appropriate Model | 5. Iterative Refinement | Limitations | Examples | Example 1: Descriptive Statistics | Example 2: Survival Analysis | Example 3: Visualization | Example 4: Model Diagnostics | Security Considerations | Code Execution Security | Environment-Aware Execution (Development vs Production) | Basic Security Features | API Key Security | Best Practices by Deployment Type | API Key Storage Locations | Compliance Considerations | Recommended Security Setup | Support | License

AI Assistant 모듈 | 개요 | 빠른 시작 | 1. API 키 설정 | 2. 기본 사용법 | 옵션 A: jsBasicGadget과 함께 사용 | 옵션 B: 독립 실행형 Shiny 앱 | 주요 기능 | 코드 생성 | 다양한 AI 제공자 | 내보내기 옵션 | 안전 기능 | 중요 사항 | 데이터 접근 | 허용된 패키지 | 변수 구조 | API 키 우선순위 | API 설정 모드 | show_api_config = TRUE (기본값) | show_api_config = FALSE | 고급 사용법 | 사용자 정의 변수 구조 | 분석 컨텍스트 | 프로덕션 배포 | 문제 해결 | API 키를 찾을 수 없음 | 코드 실행 오류 | Summary 결과가 너무 조각남 | 텍스트 출력에 이스케이프 시퀀스 표시 | 모범 사례 | 1. 구체적인 질문하기 | 2. 생성된 코드 검토 | 3. 컨텍스트 제공 | 4. 적절한 모델 사용 | 5. 반복적 개선 | 제한사항 | 예제 | 예제 1: 기술통계 | 예제 2: 생존분석 | 예제 3: 시각화 | 예제 4: 모델 진단 | 보안 고려사항 | 코드 실행 보안 | 환경 인식 실행 (개발 vs 프로덕션) | 기본 보안 기능 | API 키 보안 | 배포 유형별 모범 사례 | API 키 저장 위치 | 규정 준수 고려사항 | 권장 보안 설정 | 지원 | 라이선스

Subgroup Analysis | Subgroup analysis for Cox regression is available by selecting the event, time, group, and subgroup variables. | Subgroup analysis for linear regression is available by selecting the group, outcome, and subgroup variables. | Subgroup analysis for logistic regression is available by selecting the group, outcome, and subgroup variables. | Competing risk analysis | Competing risk analysis can be performed by selecting the regression tab and choosing the Cox model. After clicking on "Competing Risk Analysis," select the competing risk and competing time variables to display results using the Fine-Gray method | Kaplan-Meier plots are also available with competing risks reflected. After clicking on "Competing Risk Analysis," select the competing risk and competing time variables to generate Kaplan-Meier plots that account for competing risks. | Subgroup analysis for Cox regression with competing risks is also available. After clicking on "Competing Risk Analysis," select the competing risk and competing time variables to generate Kaplan-Meier plots that account for competing risks. | Web applications

Install | RStudio Addins | Basic statistics | Repeated measure analysis | Survey data analysis | Propensity score analysis(experimental) | Web applications