Habilidades statsmodels
📊
statsmodels
Seguro ⚡
Contém scripts⚙️
Comandos externos🌐
Acesso à rede
使用statsmodels应用统计模型
Também disponível em: davila7
使用OLS、GLM、ARIMA和离散选择模型进行严格的统计分析。获得可直接发表的结果，包含完整的诊断、系数表和残差分析。
Suporta: Claude Codex Code(CC)
1
Baixar o ZIP da skill
2
Upload no Claude
Vá em Configurações → Capacidades → Skills → Upload skill
3
Ative e comece a usar
Testar
A utilizar "statsmodels". 拟合带有稳健标准误的OLS模型并显示关键诊断
Resultado esperado:
- OLS回归结果：
- R方：0.452
- 系数（X1）：2.31（p < 0.001）
- 稳健HC3标准误：0.42
- 异方差性检验（Breusch-Pagan）：p = 0.23（未拒绝）
- 正态性检验（Jarque-Bera）：p = 0.41（未拒绝）
Auditoria de Segurança
Segurov4 • 1/17/2026
Documentation-only skill containing markdown files with Python code examples. Static scanner flagged 434 alerts but all are false positives. The skill contains no executable code - only documentation for the statsmodels statistical library. Scanner misinterpreted markdown backticks as shell commands, statistical terms (HC2, HC3) as C2 indicators, and common patterns as cryptographic algorithms.
8
Arquivos analisados
4,331
Linhas analisadas
3
achados
4
Total de auditorias
Fatores de risco
⚡ Contém scripts (8)
⚙️ Comandos externos (353)
EVALUATION_OUTPUT.json:24 references/discrete_choice.md:28-40 references/discrete_choice.md:40-43 references/discrete_choice.md:43-59 references/discrete_choice.md:59-62 references/discrete_choice.md:62-73 references/discrete_choice.md:73-76 references/discrete_choice.md:76-90 references/discrete_choice.md:90-93 references/discrete_choice.md:93-109 references/discrete_choice.md:109-122 references/discrete_choice.md:122-129 references/discrete_choice.md:129-137 references/discrete_choice.md:137-144 references/discrete_choice.md:144-159 references/discrete_choice.md:159-167 references/discrete_choice.md:167-170 references/discrete_choice.md:170-182 references/discrete_choice.md:182-185 references/discrete_choice.md:185-196 references/discrete_choice.md:196-207 references/discrete_choice.md:207-213 references/discrete_choice.md:213-228 references/discrete_choice.md:228-235 references/discrete_choice.md:235-238 references/discrete_choice.md:238-244 references/discrete_choice.md:244-247 references/discrete_choice.md:247-262 references/discrete_choice.md:262-265 references/discrete_choice.md:265-271 references/discrete_choice.md:271-284 references/discrete_choice.md:284-292 references/discrete_choice.md:292-295 references/discrete_choice.md:295-312 references/discrete_choice.md:312-327 references/discrete_choice.md:327-340 references/discrete_choice.md:340-343 references/discrete_choice.md:343-352 references/discrete_choice.md:352-363 references/discrete_choice.md:363-373 references/discrete_choice.md:373-388 references/discrete_choice.md:388-396 references/discrete_choice.md:396-399 references/discrete_choice.md:399-413 references/discrete_choice.md:413-416 references/discrete_choice.md:416-421 references/discrete_choice.md:421-427 references/discrete_choice.md:427-443 references/discrete_choice.md:443-447 references/discrete_choice.md:447-461 references/discrete_choice.md:461-465 references/discrete_choice.md:465-482 references/discrete_choice.md:482-486 references/discrete_choice.md:486-505 references/discrete_choice.md:505-509 references/discrete_choice.md:509-519 references/discrete_choice.md:519-523 references/discrete_choice.md:523-541 references/discrete_choice.md:541-545 references/discrete_choice.md:545-566 references/discrete_choice.md:566-572 references/discrete_choice.md:572-587 references/discrete_choice.md:587-593 references/discrete_choice.md:593-602 references/discrete_choice.md:602-606 references/discrete_choice.md:606-615 references/discrete_choice.md:615-619 references/discrete_choice.md:619-626 references/discrete_choice.md:626-630 references/discrete_choice.md:630-643 references/discrete_choice.md:643-648 references/glm.md:38-55 references/glm.md:55-58 references/glm.md:58-66 references/glm.md:66-82 references/glm.md:82-97 references/glm.md:97-100 references/glm.md:100-108 references/glm.md:108-119 references/glm.md:119-130 references/glm.md:130-146 references/glm.md:146-154 references/glm.md:154-170 references/glm.md:170-182 references/glm.md:182-197 references/glm.md:197-200 references/glm.md:200-218 references/glm.md:218-223 references/glm.md:223-231 references/glm.md:231-260 references/glm.md:260-277 references/glm.md:277-284 references/glm.md:284-290 references/glm.md:290-305 references/glm.md:305-309 references/glm.md:309-336 references/glm.md:336-340 references/glm.md:340-350 references/glm.md:350-356 references/glm.md:356-371 references/glm.md:371-375 references/glm.md:375-399 references/glm.md:399-403 references/glm.md:403-420 references/glm.md:420-424 references/glm.md:424-445 references/glm.md:445-449 references/glm.md:449-460 references/glm.md:460-464 references/glm.md:464-490 references/glm.md:490-494 references/glm.md:494-523 references/glm.md:523-529 references/glm.md:529-561 references/glm.md:561-565 references/glm.md:565-579 references/glm.md:579-583 references/glm.md:583-593 references/linear_models.md:18-31 references/linear_models.md:31-34 references/linear_models.md:34-44 references/linear_models.md:44-47 references/linear_models.md:47-63 references/linear_models.md:63-66 references/linear_models.md:66-72 references/linear_models.md:72-84 references/linear_models.md:84-94 references/linear_models.md:94-97 references/linear_models.md:97-108 references/linear_models.md:108-120 references/linear_models.md:120-125 references/linear_models.md:125-137 references/linear_models.md:137-144 references/linear_models.md:144-156 references/linear_models.md:156-165 references/linear_models.md:165-177 references/linear_models.md:177-193 references/linear_models.md:193-206 references/linear_models.md:206-227 references/linear_models.md:227-239 references/linear_models.md:239-251 references/linear_models.md:251-257 references/linear_models.md:257-280 references/linear_models.md:280-284 references/linear_models.md:284-306 references/linear_models.md:306-310 references/linear_models.md:310-326 references/linear_models.md:326-330 references/linear_models.md:330-352 references/linear_models.md:352-356 references/linear_models.md:356-379 references/linear_models.md:379-383 references/linear_models.md:383-399 references/linear_models.md:399-405 references/linear_models.md:405-421 references/linear_models.md:421-425 references/linear_models.md:425-427 references/linear_models.md:427-432 references/stats_diagnostics.md:22-31 references/stats_diagnostics.md:31-35 references/stats_diagnostics.md:35-45 references/stats_diagnostics.md:45-49 references/stats_diagnostics.md:49-57 references/stats_diagnostics.md:57-63 references/stats_diagnostics.md:63-72 references/stats_diagnostics.md:72-76 references/stats_diagnostics.md:76-84 references/stats_diagnostics.md:84-88 references/stats_diagnostics.md:88-97 references/stats_diagnostics.md:97-103 references/stats_diagnostics.md:103-115 references/stats_diagnostics.md:115-119 references/stats_diagnostics.md:119-125 references/stats_diagnostics.md:125-129 references/stats_diagnostics.md:129-134 references/stats_diagnostics.md:134-138 references/stats_diagnostics.md:138-143 references/stats_diagnostics.md:143-149 references/stats_diagnostics.md:149-158 references/stats_diagnostics.md:158-162 references/stats_diagnostics.md:162-168 references/stats_diagnostics.md:168-174 references/stats_diagnostics.md:174-191 references/stats_diagnostics.md:191-195 references/stats_diagnostics.md:195-203 references/stats_diagnostics.md:203-211 references/stats_diagnostics.md:211-225 references/stats_diagnostics.md:225-231 references/stats_diagnostics.md:231-249 references/stats_diagnostics.md:249-255 references/stats_diagnostics.md:255-266 references/stats_diagnostics.md:266-272 references/stats_diagnostics.md:272-283 references/stats_diagnostics.md:283-287 references/stats_diagnostics.md:287-298 references/stats_diagnostics.md:298-302 references/stats_diagnostics.md:302-312 references/stats_diagnostics.md:312-320 references/stats_diagnostics.md:320-328 references/stats_diagnostics.md:328-332 references/stats_diagnostics.md:332-341 references/stats_diagnostics.md:341-345 references/stats_diagnostics.md:345-351 references/stats_diagnostics.md:351-357 references/stats_diagnostics.md:357-369 references/stats_diagnostics.md:369-373 references/stats_diagnostics.md:373-381 references/stats_diagnostics.md:381-387 references/stats_diagnostics.md:387-400 references/stats_diagnostics.md:400-404 references/stats_diagnostics.md:404-419 references/stats_diagnostics.md:419-425 references/stats_diagnostics.md:425-433 references/stats_diagnostics.md:433-437 references/stats_diagnostics.md:437-445 references/stats_diagnostics.md:445-449 references/stats_diagnostics.md:449-457 references/stats_diagnostics.md:457-461 references/stats_diagnostics.md:461-467 references/stats_diagnostics.md:467-473 references/stats_diagnostics.md:473-481 references/stats_diagnostics.md:481-485 references/stats_diagnostics.md:485-496 references/stats_diagnostics.md:496-500 references/stats_diagnostics.md:500-508 references/stats_diagnostics.md:508-516 references/stats_diagnostics.md:516-527 references/stats_diagnostics.md:527-531 references/stats_diagnostics.md:531-546 references/stats_diagnostics.md:546-550 references/stats_diagnostics.md:550-560 references/stats_diagnostics.md:560-566 references/stats_diagnostics.md:566-584 references/stats_diagnostics.md:584-590 references/stats_diagnostics.md:590-596 references/stats_diagnostics.md:596-600 references/stats_diagnostics.md:600-608 references/stats_diagnostics.md:608-614 references/stats_diagnostics.md:614-628 references/stats_diagnostics.md:628-632 references/stats_diagnostics.md:632-638 references/stats_diagnostics.md:638-642 references/stats_diagnostics.md:642-656 references/stats_diagnostics.md:656-662 references/stats_diagnostics.md:662-684 references/stats_diagnostics.md:684-688 references/stats_diagnostics.md:688-702 references/stats_diagnostics.md:702-706 references/stats_diagnostics.md:706-731 references/stats_diagnostics.md:731-737 references/stats_diagnostics.md:737-759 references/stats_diagnostics.md:759-763 references/stats_diagnostics.md:763-778 references/stats_diagnostics.md:778-784 references/stats_diagnostics.md:784-795 references/stats_diagnostics.md:795-799 references/stats_diagnostics.md:799-807 references/stats_diagnostics.md:807-813 references/stats_diagnostics.md:813-822 references/stats_diagnostics.md:822-826 references/stats_diagnostics.md:826-833 references/time_series.md:27-36 references/time_series.md:36-39 references/time_series.md:39-43 references/time_series.md:43-46 references/time_series.md:46-50 references/time_series.md:50-66 references/time_series.md:66-74 references/time_series.md:74-79 references/time_series.md:79-102 references/time_series.md:102-105 references/time_series.md:105-127 references/time_series.md:127-130 references/time_series.md:130-149 references/time_series.md:149-164 references/time_series.md:164-174 references/time_series.md:174-177 references/time_series.md:177-184 references/time_series.md:184-187 references/time_series.md:187-197 references/time_series.md:197-213 references/time_series.md:213-232 references/time_series.md:232-235 references/time_series.md:235-245 references/time_series.md:245-248 references/time_series.md:248-258 references/time_series.md:258-275 references/time_series.md:275-293 references/time_series.md:293-296 references/time_series.md:296-311 references/time_series.md:311-314 references/time_series.md:314-325 references/time_series.md:325-328 references/time_series.md:328-333 references/time_series.md:333-344 references/time_series.md:344-354 references/time_series.md:354-366 references/time_series.md:366-371 references/time_series.md:371-374 references/time_series.md:374-385 references/time_series.md:385-391 references/time_series.md:391-406 references/time_series.md:406-410 references/time_series.md:410-436 references/time_series.md:436-440 references/time_series.md:440-456 references/time_series.md:456-462 references/time_series.md:462-484 references/time_series.md:484-488 references/time_series.md:488-505 references/time_series.md:505-509 references/time_series.md:509-518 references/time_series.md:518-522 references/time_series.md:522-548 references/time_series.md:548-554 references/time_series.md:554-571 references/time_series.md:571-575 references/time_series.md:575-598 references/time_series.md:598-602 references/time_series.md:602-620 references/time_series.md:620-624 references/time_series.md:624-643 references/time_series.md:643-651 references/time_series.md:651-658 references/time_series.md:658-664 references/time_series.md:664-675 references/time_series.md:675-681 references/time_series.md:681-690 SKILL.md:33-70 SKILL.md:70-74 SKILL.md:74-105 SKILL.md:105-109 SKILL.md:109-145 SKILL.md:145-149 SKILL.md:149-173 SKILL.md:173-200 SKILL.md:200-228 SKILL.md:228-258 SKILL.md:258-293 SKILL.md:293-336 SKILL.md:336-342 SKILL.md:342-364 SKILL.md:364-370 SKILL.md:370-386 SKILL.md:386-390 SKILL.md:390-405 SKILL.md:405-409 SKILL.md:409-431 SKILL.md:431-437 SKILL.md:437-465 SKILL.md:465-576 SKILL.md:576-585 SKILL.md:585-589
🌐 Acesso à rede (5)
Auditado por: claude Ver Histórico de Auditoria →
Pontuação de qualidade
45
Arquitetura
100
Manutenibilidade
81
Conteúdo
21
Comunidade
100
Segurança
87
Conformidade com especificações
O Que Você Pode Construir
回归分析
使用稳健标准误和诊断检验拟合线性和广义线性模型
计量经济学建模
使用正确的推断、假设检验和模型比较估计因果效应
时间序列预测
构建带置信区间和残差诊断的ARIMA模型进行预测
Tente Estes Prompts
基础回归
使用statsmodels拟合带有稳健标准误的OLS回归模型。显示系数摘要并检验异方差性。
逻辑回归
为二元结果构建逻辑回归模型。计算优势比、边际效应和分类指标。
时间序列
使用ARIMA分析该时间序列数据。检验平稳性、识别模型阶数、拟合模型并生成12步预测和预测区间。
模型比较
使用AIC、BIC和似然比检验比较几种模型规范。推荐最佳模型并给出理由。
Melhores Práticas
- 始终使用sm.add_constant()添加常数，除非有意排除截距
- 拟合后检验模型假设（异方差性、正态性、自相关）
- 检测到假设违规时使用稳健标准误（HC0-HC3）
- 报告置信区间以及点估计以进行推断
Evitar
- 忘记添加常数会导致截距估计偏误
- 忽视异方差性会使推断无效
- 对二元结果使用OLS会产生不正确的概率
- 解释前不检查有影响力的观测值
Perguntas Frequentes
OLS和GLM有什么区别？
OLS假设误差项服从正态分布且方差恒定。GLM通过使用不同的分布和链接函数将此扩展到非正态结果。
如何在Logit和Probit之间选择？
两者在二元结果上表现相似。Logit有更厚的尾部。根据更容易解释（优势比）选择Logit，或根据理论原因选择Probit。
ARIMA应该使用什么阶数？
使用ACF/PACF图识别p（AR阶数）和q（MA阶数）。使用ADF检验平稳性以确定d（差分阶数）。
何时应该使用稳健标准误？
当存在异方差性或数据中存在聚类导致相关性时，使用稳健标准误。
如何比较嵌套模型？
使用似然比检验。对于非嵌套模型，比较AIC或BIC值。较低的AIC/BIC表示更好的拟合。
拟合后应该运行哪些诊断检验？
检验异方差性（Breusch-Pagan）、正态性（Jarque-Bera）、自相关（Durbin-Watson），并检查有影响力的观测值（Cook距离）。
Detalhes do Desenvolvedor
Autor
K-Dense-AILicença
BSD-3-Clause license
Repositório
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/statsmodelsReferência
main
Estrutura de arquivos