diff --git a/po/R-de.po b/po/R-de.po index 0c3d8a1..1d1c6e5 100644 --- a/po/R-de.po +++ b/po/R-de.po @@ -2,7 +2,7 @@ msgid "" msgstr "" "Project-Id-Version: jaspProcess 0.19.2\n" "POT-Creation-Date: 2025-07-19 04:00\n" -"PO-Revision-Date: 2026-06-20 05:04+0000\n" +"PO-Revision-Date: 2026-07-06 09:01+0000\n" "Last-Translator: Johannes Keyser \n" "Language-Team: German \n" @@ -11,9 +11,8 @@ msgstr "" "Content-Type: text/plain; charset=UTF-8\n" "Content-Transfer-Encoding: 8bit\n" "Plural-Forms: nplurals=2; plural=n != 1;\n" -"X-Generator: Weblate 2026.7.dev0\n" +"X-Generator: Weblate 2026.7.1.dev0\n" -#, fuzzy msgid "Process Analysis" msgstr "Prozessanalyse" @@ -77,11 +76,9 @@ msgstr "Obergrenze" msgid "R-hat" msgstr "R-Dach" -#, fuzzy msgid "ESS (bulk)" msgstr "ESS (Großteil)" -#, fuzzy msgid "ESS (tail)" msgstr "ESS (Randbereich)" @@ -264,6 +261,9 @@ msgid "" "'Auto' estimators. Please choose a different estimator or option for missing " "value handling." msgstr "" +"Schätzung per Volle-Information-Maximum-Likelihood ist nur verfügbar mit " +"\"ML\" oder \"Auto\"-Schätzern. Wählen Sie bitte einen anderen Schätzer oder " +"Option zur Behandlung fehlender Werte." msgid "
  • Some implied model variances are > 1,000,000
    • " msgstr "
  • Manche implizierten Modellvarianzen sind > 1.000.000
    • " diff --git a/po/R-zh_Hans.po b/po/R-zh_Hans.po new file mode 100644 index 0000000..c4e9e31 --- /dev/null +++ b/po/R-zh_Hans.po @@ -0,0 +1,280 @@ +msgid "" +msgstr "" +"Project-Id-Version: jaspProcess 0.97.1\n" +"POT-Creation-Date: 2026-07-04 04:55\n" +"PO-Revision-Date: 2026-07-10 05:01+0000\n" +"Last-Translator: 陳正昌 \n" +"Language-Team: Chinese (Simplified Han script) \n" +"Language: zh_Hans\n" +"MIME-Version: 1.0\n" +"Content-Type: text/plain; charset=UTF-8\n" +"Content-Transfer-Encoding: 8bit\n" +"Plural-Forms: nplurals=1; plural=0;\n" +"X-Generator: Weblate 2026.7.1.dev0\n" + +msgid "Process Analysis" +msgstr "过程分析" + +msgid "Model summary" +msgstr "模型摘要" + +msgid "WAIC" +msgstr "" + +msgid "LOOIC" +msgstr "" + +msgid "PPP" +msgstr "" + +msgid "BIC" +msgstr "" + +msgid "BIC weight" +msgstr "BIC权重" + +msgid "Estimate" +msgstr "估计" + +msgid "SE" +msgstr "标准误" + +msgid "LOO Difference" +msgstr "留一法差值" + +msgid "ELPD" +msgstr "" + +msgid "Ratio" +msgstr "比率" + +msgid "n" +msgstr "" + +msgid "Posterior" +msgstr "后验" + +msgid "%s%% Credible Interval" +msgstr "%s%% 可信区间" + +msgid "Mean" +msgstr "均值" + +msgid "Median" +msgstr "中位数" + +msgid "SD" +msgstr "标准差" + +msgid "Lower" +msgstr "下界" + +msgid "Upper" +msgstr "上界" + +msgid "R-hat" +msgstr "" + +msgid "ESS (bulk)" +msgstr "ESS 有效样本量（ bulk ）" + +msgid "ESS (tail)" +msgstr "ESS 有效样本量（尾部）" + +msgid "Warning:" +msgstr "警告：" + +msgid "Path coefficients" +msgstr "路径系数" + +msgid "Label" +msgstr "标签" + +msgid "Prior" +msgstr "先验" + +msgid "Direct and indirect effects" +msgstr "直接与间接效应" + +msgid "Total effects" +msgstr "总效应" + +msgid "Residual covariances" +msgstr "残差协方差" + +msgid "MCMC Plots" +msgstr "MCMC 马尔可夫链蒙特卡洛图" + +msgid "Warning: WAIC estimate unreliable -- at least one effective parameter estimate (p_waic) larger than 0.4. We recommend using LOO instead." +msgstr "" +"警告：WAIC 估计不可靠—至少有一个有效参数估计值（p_waic）大于 0.4。建议改用 " +"LOO 方法。" + +msgid "Warning: LOO estimate unreliable -- at least one observation with shape parameter (k) of the generalized Pareto distribution higher than 0.5." +msgstr "警告：LOO估计不可靠—至少有一个观测值的广义帕累托分布形状参数（k）大于0.5。" + +msgid "WAIC and LOO cannot be calculated if no covariances are estimated for independent variables with missing data." +msgstr "若未对含缺失数据的自变量估计协方差，则无法计算 WAIC 与 LOO。" + +msgid "Estimates might be biased -- %i divergent transitions after warmup." +msgstr "估计值可能存在偏倚 —— 预热期后出现 %i 次发散转移。" + +msgid "Bayesian Fraction of Missing Information (BFMI) was too low in %i chains -- the posterior distribution was not explored efficiently." +msgstr "%i 条链的缺失信息贝叶斯占比（BFMI）过低 —— 后验分布未被有效探索。" + +msgid "The Hamiltonian Monte Carlo procedure might be inefficient -- %i transition exceeded the maximum tree depth." +msgstr "哈密顿蒙特卡洛过程可能效率较低 — %i 次转移超过了最大树深。" + +msgid "Low estimation accuracy for %1$s quantities -- the smallest Effective Sample Size (ESS) is %2$.2f < %3$1.0f." +msgstr "%1s量的估计精度较低——最小有效样本量（ESS）为.2f < %3$1.0f。" + +msgid "Inference possibly unreliable -- MCMC chains might not have converged; the largest R-hat is %1$.3f > %2$.2f." +msgstr "推断可能不可靠 — MCMC链可能未收敛；最大的R-hat为 %1.3f>.3f>.2f。" + +msgid "Dependent variables must be continuous." +msgstr "因变量必须为连续变量。" + +msgid "Hayes number" +msgstr "Hayes 编号" + +msgid "Model configuration number defined by Hayes (2022)." +msgstr "由Hayes（2022）定义的模型配置编号。" + +msgid "AIC" +msgstr "" + +msgid "AIC weight" +msgstr "AIC权重" + +msgid "Log-likelihood" +msgstr "对数似然值" + +msgid "df" +msgstr "自由度" + +msgid "Std. Error" +msgstr "标准误" + +msgid "z-value" +msgstr "z 值" + +msgid "p" +msgstr "" + +msgid "%s%% Confidence Interval" +msgstr "%s%% 置信区间" + +msgid "Std. Estimate" +msgstr "标准化估计值" + +msgid "bias-corrected percentile" +msgstr "偏差校正百分位法" + +msgid "percentile" +msgstr "百分位" + +msgid "normal theory" +msgstr "正态理论" + +msgid "Moderated mediation index" +msgstr "有调节的中介效应指数" + +msgid "Total" +msgstr "总计" + +msgid "Total indirect" +msgstr "总间接效应" + +msgid "Local tests" +msgstr "局部检验" + +msgid "Conditional independence tests" +msgstr "条件独立性检验" + +msgid "Model did not converge." +msgstr "模型未收敛。" + +msgid "RMSEA" +msgstr "近似误差均方根 （RMSEA）" + +msgid "χ²" +msgstr "" + +msgid "Std. error" +msgstr "标准误" + +msgid "R-squared" +msgstr "R 平方" + +msgid "Conceptual path plot" +msgstr "概念路径图" + +msgid "Statistical path plot" +msgstr "统计路径图" + +msgid "Model syntax" +msgstr "模型语法" + +msgid "Model must be a directed acyclic graph -- it must not contain loops." +msgstr "模型必须为有向无环图—不得包含回路。" + +msgid "%1$s: Hayes configuration %2$s not implemented" +msgstr "%1s：未实现Hayes配置编号%2$s" + +msgid "Estimation failed because of an internal error." +msgstr "估计因内部错误而失败。" + +msgid "Full Information Maximum Likelihood estimation only available with 'ML' or 'Auto' estimators. Please choose a different estimator or option for missing value handling." +msgstr "" +"全信息最大似然估计仅适用于 'ML' 或 'Auto' 估计量。请选择其他估计量或更改缺失" +"值处理选项。" + +msgid "
  • Some implied model variances are > 1,000,000
    • " +msgstr "
  • 某些隐含模型方差大于1,000,000
    • " + +msgid "
  • Some implied model variances are at least a factor 1000 times larger than others
    • " +msgstr "
  • 某些隐含模型方差至少比其他方差大1000倍
    • " + +msgid "The information matrix could not be inverted. This may be a symptom that the model is not identified. Possible reasons:
      %s
    " +msgstr "信息矩阵无法求逆。这可能是模型未识别的征兆。可能原因：
      %s
    " + +msgid "At least one model is incomplete or no model is specified. Please add at least one model and complete specified models." +msgstr "至少有一个模型不完整或未指定模型。请至少添加一个模型并补全已指定的模型。" + +msgid "The AIC, BIC and additional information criteria are only available with ML-type estimators." +msgstr "AIC、BIC及其他信息准则仅适用于ML类估计量。" + +msgid "Important: Parameter estimates can only be interpreted as causal effects if all confounding effects are accounted for and if the causal effect directions are correctly specified." +msgstr "" +"重要提示：只有在考虑了所有混杂效应且正确指定了因果效应方向的情况下，参" +"数估计值才能被解释为因果效应。" + +msgid "Please check the model specification and lavaan syntax." +msgstr "请检查模型设定和lavaan语法。" + +msgid "Linear test type cannot be applied to factor variables. Choose a different test type or remove all factor variables from the model." +msgstr "" +"线性检验类型不能应用于因子变量。请选择其他检验类型，或从模型中移除所有因子变" +"量。" + +msgid "The specified model does not imply any (conditional) independencies that can be tested." +msgstr "指定的模型未蕴含任何可检验的（条件）独立性关系。" + +msgid "Partially standardized estimate because effect involves categorical predictor." +msgstr "因效应涉及分类预测变量，故为部分标准化估计值。" + +msgid "Moderation effect estimates are based on mean-centered variables." +msgstr "调节效应估计值基于均值中心化后的变量。" + +msgid "Confidence intervals are %s bootstrapped. Standard errors, z-values and p-values are based on the delta method." +msgstr "置信区间为 %s 自助法；标准误、z 值和 p 值基于delta法。" + +msgid "Not all bootstrap samples were successful: CI based on %.0f samples." +msgstr "并非所有自助法样本均成功：置信区间基于 %.0f 个样本。" + +msgid "Model does not contain moderated indirect effects for
    which the moderated medation index can be calculated." +msgstr "模型不包含可计算有调节的中介效应指数的有调节的间接效应。" + +msgid "p-values adjusted for multiple comparisons with the %s method." +msgstr "p 值采用 %s 法进行多重比较校正。"